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AI in HR: Creating Value With New Technology

As artificial intelligence becomes more deeply embedded in everyday workflows, it is rapidly transforming the way businesses operate. For example, the recent rise of generative AI and data-driven insights provide an exciting glimpse into future possibilities. In fact, McKinsey estimates that AI could contribute an additional $13 trillion to the global economy by 2030. But what does this mean for AI in HR?

Many employers are eagerly embracing new AI-driven capabilities. And as the co-founder of an innovative HR tech platform, I’ve had a front-row seat in witnessing AI’s early impact.

But despite the enthusiasm, a central question remains: While navigating these uncharted waters, how can employers make sure AI has a meaningful, positive impact on their workforce as well as their business results? Here’s my perspective…

Moving From Hype to Measurable Value

In the HR tech sphere, many tools and service providers are racing to integrate AI into their platforms and processes — often to demonstrate tech prowess. But this, alone, doesn’t create business value.

That’s why problem-solving must be a top priority. Especially now, in this early adoption phase, it’s paramount for solutions to address the real needs of HR leaders, practitioners, managers, and employees.

If this is the goal, what truly matters? AI isn’t just about automation — it’s also about helping organizations save time, improve performance, enhance the employee experience, and provide actionable insights when and where they’re useful. In our world, this translates into feedback processes that are more responsive, managers who are more effective at coaching their teams, and employees who are more engaged and empowered to grow and perform their best.

Mapping AI to Employment Cycle Stages

To understand the tangible benefits of AI in HR, it’s helpful to look through the lens of the employee lifecycle. From talent acquisition to performance management, and from training to retention, AI is shaping each step in the employee journey. Let’s examine what that means for each stage:

1. Rethinking Talent Acquisition: Beyond the Resume

As the initial touchpoint in the employment cycle, hiring is pivotal in defining the employee experience. Traditional recruiting methods may be effective, but they often fall short in capturing the intricate nuances that determine a candidate’s fit for a particular role. This is where the transformative power of AI can propel employers beyond the limits of a conventional resume.

An excellent case is HireVue. This platform uses AI-driven predictive analytics to evaluate a candidate’s suitability based on numerous factors, including facial expressions and tone of voice during interviews. These innovative capabilities work hand-in-hand with recruiters to complement and enhance their human observations. This leads to a more comprehensive assessment that looks beyond surface-level qualifications and reduces unconscious bias.

How AI Adds Value

In a world where first impressions and gut feelings tend to drive decisions, AI adds a more objective layer of analysis. Plus, it helps “read between the lines” of a candidate’s responses for a more holistic, data-driven approach to talent acquisition.

As a result, employers can feel more confident they’re hiring people with personal attributes that fit their company culture and long-term objectives, as well as the right skills and experience.

But the true magic of AI lies in its potential to help decision-makers rethink their perceptions of candidates. Suitability indicators shift from qualifications, alone, to a nuanced combination of skills, culture fit, and long-term potential.

Ultimately, this promises to improve employee satisfaction, engagement, and retention by making it easier to find the strongest talent for each role, right from the start. However, AI can’t run on autopilot. For the best outcomes, employers and platform vendors will need to work together so they can avoid bias in AI algorithms while preserving the human touch that elevates the candidate experience.

2. Redefining Performance Metrics: Objective Evaluation

Performance assessment has long been a foundational HR function. But now, AI adds a new dimension to this process, reshaping how we track and evaluate employee contributions.

With AI algorithms, employers can extract insights that were once beyond reach. This means organizations can more quickly and accurately pinpoint high-potential talent, predict employee burnout, create a comprehensive analysis of any individual’s performance, and identify where they’re making the biggest impact.

How AI Adds Value

To illustrate how this works, consider the case of Fractl, a fast-paced digital marketing firm that relies on the WorkStory platform to drive employee pulse surveys, streamline performance reviews, and support continuous development for its fully distributed workforce.

What’s next? According to MIT Sloan, some organizations are taking this a step further by using AI to generate employee key performance indicators. These KPIs are carefully calibrated and dynamically adjusted to consider each employee’s past performance, while also considering their team’s objectives and their organization’s broader mission.

Although momentum is growing for AI-supported employee evaluation, several fundamental challenges remain. Employers need to foster workforce trust by ensuring their process is transparent and free from bias. As success stories become more widespread and best practices emerge, these barriers to adoption should diminish.

The shift to AI-enabled performance evaluation marks a pivotal moment in the evolution of HR practices. By providing more objective, dynamic, data-driven assessments, it’s possible to unlock new levels of employee potential and improve productivity, while significantly enhancing employee engagement and retention.

3. Empowering Growth: Tailored Learning Experiences

Continuous learning is vital in today’s fluid business environment. And AI is already transforming employee development from a formal one-size-fits-all experience to a personalized and highly adaptive journey.

For instance, imagine tailoring training modules and performance support resources to an individual’s organizational role, career aspirations, and learning patterns. With AI-enabled tools like Degreed, Coursera, EdCast, Docebo, and Cornerstone OnDemand, you can easily identify relevant skill gaps and deliver targeted learning, assessments, and coaching.

How AI Adds Value

These AI-powered platforms curate personalized learning paths, recommend relevant courses, and analyze individual learning behaviors, so employees can develop the knowledge and skills they need to thrive in their current roles. At the same time, they can prepare for future opportunities.

Organizations are rapidly embracing AI-based learning strategies because they see tremendous value in helping employees take charge of their professional growth while remaining aligned with existing business goals.

4. Fostering Retention: Finding the Pulse of Employee Engagement

Employee engagement is the lifeblood of every organization. With AI-based analytics tools, employers can gain deeper insight into subtle engagement indicators. By analyzing informal and formal feedback and communication patterns, organizations can better understand the strength and direction of workforce sentiment and proactively work to improve engagement.

How AI Adds Value

Organizations like KPMG are using an internal AI chatbot and predictive analytics to identify employees who are at risk of quitting, so they can intervene. And in 10-20% of cases, these interventions succeeded.

In this context, predictive analytics depends on historical data and AI algorithms to forecast future outcomes. For employee engagement, it can mean predicting which employees are more likely to leave based on their interactions, sentiments, and previous work patterns.

When the system identifies “at risk” employees, HR can take timely action to address underlying issues. For example, to resolve conflicts with a manager, a disaffected employee may respond to job restructuring, reassignment, coaching, or new development opportunities.

This proactive, personalized approach contrasts with traditional talent management methods that rely on periodic pulse surveys and subjective assessments, both of which may miss real-time fluctuations in employee sentiment.

Fusing AI and HR: Beyond Today’s Challenges

Integrating AI with HR is a journey filled with endless possibilities. But despite the benefits and buzz, HR professionals need to recognize the risks and ensure AI tools are used ethically and effectively.

This isn’t just about efficiency. It’s also about building a workplace that is more empathetic, empowered, and engaged.

In a few short years, AI-enabled HR tools will be ubiquitous. The burden of routine, repetitive tasks will fall more heavily on machines. At the same time, information will flow much more freely, giving business and HR professionals the ability to better understand their work environment, anticipate the need to adjust, and prepare for the road ahead.

As Harvard Business Review says, “These new capabilities remove barriers of expertise and time from the process of data preparation, insight discovery, and analysis and make it possible for ‘citizen data analysts’ to create insights and take actions that improve their businesses.”

We will learn and adapt. New jobs and industries will emerge that we haven’t even anticipated yet. In fact, The Institute for the Future predicts that most of the jobs that will exist in 2030 haven’t been invented yet — and many of those jobs will be created as a result of AI.

As employers move toward a world where AI is seamlessly integrated into HR processes, I think one guiding principle will determine the difference between failure and lasting success. When you’re trying to balance tech innovation with the human touch, ask yourself, “Will this truly help members of our workforce feel more connected, valued, and supported in their professional journey?” If so, you’re on the right track.

11 Successful HR and Work Tech Trends to Adopt

In recent years, we’ve seen an explosion in new and improved digital tools for HR and work activities. But with the landscape changing so rapidly, how can organizations decide which tech trends deserve serious attention and investment?

For useful advice, we asked HR and business leaders these questions:

What emerging HR or work tech trend is making the biggest impact on your organization? Why is this the case?

In response, we received excellent feedback from a variety of business professionals — from HR Directors to CEOs. And I’m sure you’ll agree as you skim this list, their recommendations make sense for employers everywhere:

  • Simplify Your Tech Stack to Enhance the Employee Experience
  • Enhance Recruitment Success With AI-Driven Hiring
  • Propel Real-Time Feedback With AI
  • Leverage People Analytics for Data-Driven HR Decisions
  • Automate Background Checks to Improve DEI
  • Boost Company Image With Employee Advocacy
  • Adopt AI to Transform HR Processes
  • Personalize the Hiring Experience With Video Interviews
  • Improve Compliance and Decision-Making With AI
  • Tap Into a PEO for Sophisticated HR Services
  • Streamline Repetitive HR Tasks With Automation

To learn more about how these tech trends are redefining organizations large and small, check the responses below…

11 Ways to Benefit From Top HR and Work Tech Trends

1. Simplify Your Tech Stack to Enhance the Employee Experience

One trend we’re tackling is the simplification of our tech stack to enable a seamless employee experience. As a result, we’re being more thoughtful about the systems we choose to enable key programs. Our goal is to offer an intuitive, natural employee journey from hire to retire. We also hope to benefit from improved data and integrations.

In conversations with other HR tech leaders, we’re finding many larger, established organizations that are also facing this issue. For some, shifting to a connected set of systems that matches a connected experience will be a multi-year process.

This can feel like fixing an airplane while in flight. Actually, it is. But when this is done in the right way, you’ll feel the net reward through improved employee productivity, reduced HR technology spending, and the opportunity to influence vendor roadmaps.

Tiffani Murray, Director, HR Tech Partners – Global Talent Organization, LinkedIn

2. Enhance Recruitment Success With AI-Driven Hiring

One of the most impactful HR tech trends our organization has adopted is AI-driven talent acquisition. With streamlined candidate screening and predictive analytics, we’ve reduced turnover rates and increased employee satisfaction.

Recently with the help of AI, we identified a top-notch senior developer that we subsequently hired. This led to a 20% increase in project completion rates and stellar client feedback. Going forward, we expect AI in recruitment to continue accelerating our company’s growth and success.

Vikas Kaushik, CEO, TechAhead

3. Propel Real-Time Feedback With AI

One HR tech trend that has made its way into our organization is an AI-backed app for real-time feedback. From helping us interact “anytime, anywhere,” to customized notifications that ensure we never miss feedback requested or received, this app is strengthening our organization’s feedback culture.

Its most powerful feature is an innovative feedback generator with a simple process that helps individuals produce, amend, and share feedback in less than 2 minutes. It also helps senders and receivers schedule and conduct private one-on-one interactions with end-to-end encryption.

We’re seeing numerous positive outcomes. For example, this ensures feedback focuses on competencies that align with our organization’s vision and values. Also, detailed reporting makes it easy for leaders to track team engagement while helping individuals understand how their contributions advance our feedback culture.

Manvika Jhala, Principal Consultant, Projects, NamanHR

4. Leverage People Analytics for Data-Driven HR Decisions

People analytics is a growing tech trend, and it’s making a notable impact on our organization. With timely access to relevant, useful data, we’re able to make better decisions about our employees. We can thoroughly analyze personnel performance from multiple angles, with insights we would have otherwise missed or misinterpreted.

For example, we used people analytics to make sure our pay structure is fair and equitable across various employee groups, regardless of an individual’s personal background. This has had a positive effect on overall employee morale because people feel their contributions are appreciated and compensated fairly.

Michael Alexis, CEO, teambuilding.com

5. Automate Background Checks to Improve DEI

As a company that provides background checks, automation helps us filter for specific candidate criteria, focus on unique company needs, and avoid bias in the process. This has helped us significantly level up our recruiting and hiring game. We now offer these services to companies that are striving to reach ambitious DEI goals.

Max Wesman, Chief Operating Officer, GoodHire

6. Boost Company Image With Employee Advocacy

Our employee advocacy program is making a big difference at our company. When our satisfied workers speak positively about us online, it elevates our company image.

For instance, when we had a job opening, we asked our people to share the job with their friends and colleagues online. This kind of outreach worked really well. As a result, we hired a great candidate who fit in with our company and immediately started contributing in a meaningful way.

This program also helps us get more customers. People looking to buy our products trust what our workers say about us more than what we say about ourselves. So the employee advocacy program isn’t just about hiring. It also helps our business grow in other ways.

Martin Potocki, CEO, Jobera

7. Adopt AI to Transform HR Processes

Although artificial intelligence is one of today’s hottest tech trends, some employers still aren’t sure what their adoption path should be. However, we are integrating artificial intelligence across multiple HR processes, from recruitment to employee engagement.

For instance, we’ve implemented an AI-powered recruitment tool that streamlines the hiring process. It automates tasks like resume screening and interview scheduling, which saves significant time and reduces bias in the candidate selection process.

This has improved our recruitment results and enhanced the candidate experience, as well. Also, in addition to improving HR operations, AI is helping us make better-informed decisions and improve business outcomes.

Madhurima Halder, Content Manager, Recruit CRM

8. Personalize the Hiring Experience With Video Interviews

Video interviewing is one of today’s biggest HR tech trends. It can provide a more personalized hiring experience that improves the applicant experience and helps employers extend their hiring reach in more inclusive ways.

For example, employers can use video tools to conduct non-traditional interviews with applicants who aren’t able to travel, or who speak languages that aren’t common in the employer’s geographic location.

With platforms that make it easier for skilled people to connect with potential employers, this opens up opportunities beyond traditional face-to-face interviews. It also ensures no candidates are left behind because of geographical or physical limitations.

Julia Kelly, Managing Partner, Rigits

9. Improve Compliance and Decision-Making With AI

Recent technological developments have altered nearly every facet of human resources, from sourcing to performance management. Artificial intelligence is now streamlining administrative duties like reviewing applications and setting up interviews. This not only benefits the company financially but also frees up HR personnel for more important, strategic tasks.

Employment law, health and safety regulations, and data privacy are just a few examples of HR’s responsibilities. By providing consistent, accurate record-keeping and reporting, automated HR processes can help ensure compliance with these critical requirements.

Also, with the help of data and analytics tools in automated solutions, HR professionals and business leaders can make better decisions. For instance, AI is helping HR teams more quickly and easily spot issues with employee absences and turnover.

Aleksandar Ginovski, Career Expert, Resume Expert and Product Manager, Enhancv

10. Tap Into a PEO for Sophisticated HR Services

As a startup executive since 2012, I’ve relied on Professional Employer Organizations (PEOs) as a fairly common fixture in my work life. These organizations make it possible for smaller companies to tap into core HR packages that include payroll, benefits negotiation, and a suite of other HR capabilities.

Working with a PEO is an easy decision if you don’t have sufficient resources or admin staff to deal with HR logistics and other technicalities. So, not surprisingly, the number of PEO providers and levels of service have grown significantly over the years.

In our company’s case, the HR apparatus is much more sophisticated than you would typically expect for a company of our size. This makes it possible for us to offer everyone more and better benefits.

Trevor Ewen, COO, QBench

11. Streamline Repetitive HR Tasks With Automation

Artificial intelligence is making a massive impact on the HR function. AI technology is redefining the human resources department, streamlining many of its work processes.

Today, HR leaders apply AI to a wide range of tasks, so they no longer manually manage functions like payroll, recruitment, onboarding, and performance management. It can help employers find the right talent, identify skill gaps, answer employee questions, analyze survey data, and more.

The most positive and profound impact of AI technology is the automation of repetitive, boring tasks. It saves manual HR labor, while simultaneously improving process efficiency and accuracy. This frees HR team members to focus on more strategic, creative tasks.

Although some organizations are quickly embracing HR automation, it may be more beneficial to adopt it incrementally over time, so teams can adjust and adapt to the change.

Saikat Ghosh, Associate Director of HR and Business, Technource

HR Trends That Matter in 2023: An Insider’s Guide

People often ask me which HR trends should be on their radar. It’s a fair question, because I organize two of the HR profession’s most popular conferences, UNLEASH America and UNLEASH World. During the programming process, I work closely with hundreds of human resources leaders and industry influencers, as well as HR technology and services providers. Spotting key trends is easy, because patterns appear as I reflect on the topics speakers pitch, along with themes that emerge among exhibitors, attendees, and startup competitions.

This year, 7 closely related HR issues and opportunities are trending:

  1. Asynchronous work
  2. Distributed, remote and hybrid work
  3. Upskilling and reskilling
  4. Diversity, equity, inclusion, and belonging
  5. People analytics
  6. Employee experience
  7. AI and automation

These HR trends probably sound familiar, but they continue to define the future of work. That’s why they’ll take center stage at our conferences in the year ahead. For details on what I’m seeing and hearing about these hot topics, read on…

7 HR Trends That Matter Now

1. Asynchronous Work

Asynchronous work is the future of work. It’s an environment where people collaborate and complete tasks without real-time presence or communication.

Some industries have relied on asynchronous work for decades. For example, in the software sector, developers often work from wherever it’s convenient. They rely on a blend of standards, practices, and tools that support distributed project management, team problem solving, and interactions. This improves productivity in various ways — especially by reducing interruptions when people want to focus on their primary tasks.

Asynchronous work also improves the accuracy of strategic planning and decision making. Without accuracy, running a business is very difficult.

Many companies are still striving to enable asynchronous work. This includes connecting systems of record so relevant data is secure but also highly available. The goal is to ensure that information isn’t scattered, so people don’t need to call or message others whenever a question arises. Speed bumps like these can create huge volumes of reactive work.

An asynchronous work infrastructure is the foundation of another key HR trend: distributed, remote and hybrid work…

2. Distributed, Remote, and Hybrid Work Models

The pandemic was like a time machine. It instantly catapulted much of the world into a variety of work models that many of us discussed for decades, but hadn’t implemented. Now, these work models are here to stay.

For example, consider one of our biggest clients. At the start of 2020, this company was planning an 18-month global roll out of Microsoft Teams. But when the pandemic struck, they actually rolled-out Teams within only a few days!

This wasn’t an isolated incident. Organizations of all types suddenly had to embrace flexible work  arrangements. Now, although some teams are returning to the office, remote work structures remain. This is driving demand for hybrid work, where people can engage remotely at least one day a week.

Another HR trend emerging from the pandemic is the four-day work week. Previously, this was also widely discussed but not widely implemented. Then, during quarantine, flexible work arrangements became a necessity. This paved the way for ongoing adoption of the four-day work week and other innovative scheduling models.

Pandemic-era flexible work arrangements also helped many employees improve work/life balance. This is yet another HR trend that received attention in the past, but was rarely achieved.

Flexible work models aren’t perfect. But I doubt we’ll ever return to a world where people go to the office and work from 9-5 all week. We’ve seen flexible work succeed, even under the most difficult circumstances. We now know it doesn’t make sense to endure long, expensive commutes and childcare struggles. And why limit creativity and productivity to a prescribed time and place?

3. Upskilling and Reskilling

Although tech industry layoffs are rampant and a recession is looming, the war for talent continues to escalate. But this isn’t really news. It’s been building for years. So, what is the HR trend to watch here?

Many workers who perform repetitive tasks increasingly feel frustrated by a lack of career growth. For decades, we’ve discussed the gap between these jobs and knowledge work. But now, the gap is growing even wider, as technology continues to advance and employers invest more heavily in upskilling and reskilling knowledge workers.

To keep top talent onboard, employers are making learning and development a priority. Professional development is also a powerful way to attract new talent in an increasingly competitive hiring climate. But what does this mean for people with jobs that are likely to become obsolete or automated soon?

Professional growth is increasingly important to people in every line of work. So employers are investing in learning programs to help attract and retain a future-ready workforce. HR departments are finding that implementing and maintaining effective learning programs is much faster, cheaper, and easier now. That’s because learning systems are adding innovative tech like AI-driven capabilities, interactive video, and augmented reality to improve learning experiences. They also offer APIs to connect learning platforms with other HR and business systems, so employers can more easily assess employee skills, track development progress, and measure learning outcomes.

Ultimately, this means employers are becoming better-equipped to help individuals grow in their careers, while helping their organizations succeed.

4. Diversity, Equity, Inclusion, and Belonging

Another key HR trend focuses on workforce diversity, equity, inclusion, and belonging (DEIB). This isn’t just lip service. It has been a serious priority for years, and the commitment continues. Here’s why:

Studies show that diverse companies outperform others. That’s partially because they can tap into a broader range of employee perspectives — spanning age, race, gender, religion, sexual orientation, ethnicity, and more.

In healthy cultures, all employees are paid equally for similar roles. But that’s not the only requirement. People also need to feel welcome, respected and included in relevant meetings and decisions. These pillars of DEIB are more important than ever in today’s dynamic work world, and they’re becoming even more integral to the fabric of vibrant organizations.

5. People Analytics

For decades, data analytics has played a central role across business disciplines — finance, logistics, e-commerce, sales, marketing, and information technology. Now it is becoming common for HR applications such as learning, recruitment, performance management, and employee experience platforms.

Going forward, HR teams will increasingly rely on people-oriented analytics systems to make evidence-based decisions. For example, when relocating an office, decision makers will want to assess talent, performance, and many other data points to determine who should staff that office.

Also, look for AI to play an increasingly important role in people analytics applications, so organizations can improve decision support, performance analysis, and predictive processes.

6. Employee Experience

Now more than ever, organizations are emphasizing employee experience — including onboarding, workflow, culture, career development, and other aspects of work life. This is because a positive work experience correlates with higher engagement, productivity, satisfaction, commitment, and retention.

Also, employee experience is gaining traction because analytics systems are becoming more prevalent. This means more organizations have the capacity to evaluate the impact of employee-focused initiatives. Measurement typically focuses on onboarding, training, and other career experiences such as project assignments and promotions.

Employee experience is derived from customer experience and personalization initiatives used in marketing to assess customer preferences and develop relationships based on those interests. Similarly, the more an HR organization learns about employees and their preferences, the more effectively it can design custom work experiences with a more positive impact on engagement, performance, morale, and commitment.

7. AI and Automation

I’ve mentioned AI previously, but AI and automation deserve a separate discussion. That’s because both are transforming HR processes by dramatically streamlining tasks and enabling HR teams to focus more on strategic priorities.

AI and automation are critical to people analytics and employee experience initiatives. For instance, they can help detect when an employee is unhappy and at risk of resigning. Then, they can recommend ways to correct the issue before it’s too late.

In addition, these tools can alert HR and business managers when employees aren’t receiving appropriate onboarding or learning support. They can also assess and recommend an employee’s unique training path based on the market’s changing demands and the organization’s talent realities.

AI and automation will increasingly permeate HR, reduce the burden of administrative tasks, and offer invaluable insights regarding employee growth, performance, engagement, satisfaction, and commitment.

Final Thoughts on Current HR Trends

The pandemic unleashed work changes no employer could predict. But that’s only the beginning. Now, changes that started several years ago are leading to even more challenges and opportunities ahead.

In today’s volatile talent market, workers continue to place new demands on employers. Meanwhile, HR tech innovation continues to accelerate, giving organizations even more powerful and effective tools to improve all facets of work. As employers rapidly adopt new tools and techniques to improve organizational impact, the future looks bright across the HR landscape.

How to Use ChatGPT as the Ultimate Recruitment Tool

What is ChatGPT?

It’s no secret — recruiting professionals are still struggling to find strong candidates for job openings. Competition for top talent remains fierce, and skilled workers are in short supply. No wonder many recruiters are turning to innovative tools to identify the right candidates more quickly and efficiently.

One of these tools is ChatGPT. This AI-powered chatbot uses advanced natural language processing techniques to communicate with users in a conversational way. It is trained on a massive dataset of internet text, which makes it proficient at discussing a vast spectrum of topics.

Why Recruiters Like ChatGPT

Why is this tool becoming so popular so quickly? Recruiters recognize it is a groundbreaking solution that can transform the speed and quality of talent acquisition. For example, if you ask ChatGPT about a candidate’s qualifications, experience, and skills, you’ll receive rapid responses that can help you make better-informed decisions.

ChatGPT is particularly useful at addressing the challenges posed by remote and hybrid work. During the pandemic, virtual hiring naturally accelerated. Now, as this trend continues, recruiters are finding that ChatGPT is a convenient solution for communicating with candidates from a distance.

Below, we’ll look closer at several ways employers are leveraging ChatGPT to improve recruitment. Specifically, we’ll cover how to use this powerful tool for:

  • Sourcing
  • Screening
  • Interviewing
  • Candidate Experience

4 Ways to Elevate Recruitment Results with ChatGPT

1) Increasing Sourcing Efficiency

Today’s hiring landscape is particularly complex and competitive. This makes it difficult to find the right candidates at the right time. However, tools like ChatGPT are revolutionizing this process.

One of ChatGPT’s most notable advantages is its ability to create personalized messages. In other words, automation in ChatGPT can help develop communications tailored to each candidate’s unique interests and characteristics. This means recruiters can differentiate themselves in sourcing outreach and increase their response rate.

How it works:

Enter specific information about the position and candidate qualifications. For instance, if you’re looking for a software engineer with experience in Java and Python, enter the job description and a descriptive profile of your ideal candidate. ChatGPT can generate messages that highlight the skills and experience you find most valuable.

Similarly, you can rely on ChatGPT to generate messages for marketing managers, data scientists, front-end developers, or others with specific qualifications. Your messaging can showcase your company’s strengths in these areas and appeal to candidates with relevant experience. Naturally, for best results, you’ll want to provide ChatGPT with the most complete information you’re able to share about your organization, open positions, and candidate qualifications.

ChatGPT isn’t the only AI-powered tool available for recruiters. In fact, you may want to use a tool designed specifically for talent sourcing. For example, Noon AI combines powerful language generation capabilities with data aggregation across LinkedIn, GitHub, and Crunchbase to help employers land the best candidates at a fraction of the typical cost per hire.

2) Improving Candidate Screening

Recruiting talent can be a daunting task, particularly when recruiters must process countless resumes. However, ChatGPT’s natural language processing and machine learning capabilities can dramatically streamline screening tasks. This makes it faster and easier to identify top talent.

One way ChatGPT improves this process is by extracting critical information from resumes. Instead of spending time analyzing each resume for relevant experience and skills, recruiters can input the resume data into ChatGPT. Then they can ask the bot to extract information that is pertinent to specific job requirements.

How it works:

For instance, say you’re looking for people with social media management skills. After you input these requirements into ChatGPT, the AI will highlight relevant experience and skills in a candidate’s resume.

Here are some prompts to help you get started:

  • “Please extract all relevant social media management experience and skills from this resume.”
  • “Can you help me identify any experience or skills related to project management in this candidate’s resume?”
  • “Please extract all relevant experience and skills related to customer service from this resume.”

In addition, ChatGPT can help prioritize candidates by providing AI-generated insights. By analyzing data such as past job performance and social media activity, it can help you quickly determine a candidate’s suitability for a particular role. If a candidate has a successful track record in similar positions, ChatGPT can prioritize them over other candidates with less relevant experience.

Here are some prompts to help you get started:

  • “Based on the candidate’s past job performance, can you provide insight into their potential fit for this role?”
  • “Please prioritize candidates with the most relevant experience for this role, based on your analysis of their resumes and job history.”

3) Enhancing the Interview Process

ChatGPT also significantly improves recruitment by assisting in the initial interview stage. Recruiters can leverage ChatGPT to create customized interview questions that align with each candidate’s experience and skills. This approach guarantees that each interview is more specific and targeted, leading to better-informed hiring decisions.

Here are a few sample prompts to help you get started:

  • “Hi ChatGPT. Can you help me generate interview questions tailored to this candidate’s experience and skills?”
  • “What are some interview questions I can ask to assess this candidate’s proficiency in Python programming?”
  • “Please provide me with interview questions that can help me evaluate a candidate’s communication skills.”

One of the most significant benefits of using ChatGPT for initial interviews is that it automates the evaluation of a candidate’s responses. In other words, it can analyze answer data and provides insights into each person’s strengths and weaknesses. This help you quickly identify which candidates are the best fit for a role.

Here are some example prompts to help you get started:

  • “Can you analyze this candidate’s responses to the interview questions and provide insights into their strengths and weaknesses?”
  • “Please give me an assessment of this candidate’s problem-solving skills, based on their interview responses.”

4) Elevating the Candidate Experience

ChatGPT is a robust tool that not only improves recruitment workflows but also enhances the overall candidate experience. For example, recruiters can automate the process of addressing candidate questions and concerns. This makes responding to inquiries quicker, easier and more reliable. It also helps candidates feel recognized and valued throughout the hiring process.

Here are a few sample prompts to help you get started:

  • “I want to improve candidate satisfaction by offering more transparency throughout the hiring process. ChatGPT, can you generate a message explaining next steps in the hiring process and what candidates can expect?”
  • “ChatGPT, can you help me craft a message to a candidate who wasn’t hired, but might be a good fit for future openings? I want to thank them for their interest and let them know that we’ll keep their resume on file.”
  • “ChatGPT, can you help me create a personalized welcome message for new hires? I want to provide them with information about our company culture, benefits, and onboarding process.”

ChatGPT also makes it possible to provide candidates with a seamless recruitment experience by guiding them through the application process — answering their questions and providing feedback. This reduces the amount of time and effort candidates must put into the application process, which leads to a stronger overall candidate experience.

Here are some sample prompts to help you get started:

  • “Can you help me create an application process that is user-friendly and easy to navigate?”
  • “Please provide candidates with feedback on their application status and next steps in the recruitment process.”
  • “Can you generate a message that expresses gratitude to candidates for their interest and the time they invested in our application process?”

Final Thoughts

In summary, ChatGPT helps bring a new level of efficiency and personalization to recruitment workflows. This kind of AI-driven tool makes it possible to receive and process resumes more rapidly, identify the best candidates with greater confidence, and improve transparency and responsiveness throughout the hiring process.

By making it easier for people to apply for jobs and interact with recruiters, ChatGPT ultimately contributes to stronger hiring decisions, even as it leads to a more engaging and satisfying candidate experience.

Should You Create an AI-Powered Talent Marketplace?

After years of upheaval that have redefined society, business and work, we’ve entered a period some call the “Great Reflection.” During this era of mindfulness, employees everywhere are reevaluating what they truly want from their career and their employer. In response, companies are investing more heavily in workforce retention strategies. For instance, the internal talent marketplace concept is rapidly gaining momentum.

Why marketplaces? CIPD research says 30% of employers intend to increase wages in 2023. This is certainly one way to show people you value them. Who wouldn’t appreciate competitive compensation? But many people are looking for deeper reasons to stay onboard. As a result, more companies are focusing on employees’ career development concerns.

According to Gallup, 76% of people are seeking opportunities for professional growth. At the same time, modern businesses know they can’t advance their agenda without a future-ready workforce.

That’s why now is a good time to invest in an internal talent marketplace. This kind of solution offers multiple pathways to develop more skilled, innovative individuals and teams. But how can you accomplish this in a way that is cost-efficient, personalized, and accessible? This is our story…

Inside a Talent Marketplace: One Example

To accelerate internal mobility, Schneider Electric, a global leader in integrated energy solutions, has developed and deployed an Open Talent Market (OTM). This marketplace leverages leading-edge technology to help retain talent and stimulate employee growth.

OTM is an AI-driven career development and internal mobility platform that matches workforce skills and ambitions to opportunities across the organization. First, employees describe their current skills and past experiences, as well as their future aspirations. Then OTM provides information about relevant open positions, part-time projects, and possible mentors.

The platform also offers career planning capabilities. For example, people can explore potential career paths and establish short-term development tracks to address immediate upskilling needs or develop new skills for the future.

How the OTM Process Works

This talent marketplace is open to all connected employees at Schneider Electric, and through pilot programs for shop floor employees who don’t have daily access to a work computer. With artificial intelligence as its backbone, OTM manages the entire experience at speed and at scale.

To get started, employees create a profile in the platform, which can be based on a LinkedIn profile or resume upload. Next, they can edit and expand their profile information, adding appropriate skills, experiences, interests and development areas. The more data an employee includes, the better the AI results will be.

Schneider Electric embraces the “3E” development framework – Experience (70%), Exposure (20%), and Education (10%). And because OTM is so easy to use, employees can independently explore upskilling and development opportunities that align with each of these learning methods.

Talent Marketplace Benefits

In addition to improving talent development and mobility, this solution has formalized the way our organization manages its internal gig economy. Now, by offering part-time projects through OTM, the company can unlock hours from employees who are eager to work on stretch assignments.

But the real beauty of this talent marketplace comes from its underlying AI, which makes it possible for anyone to discover opportunities that might not otherwise have been considered.

Too often in the past, finding a new position or mentor was all about who you knew. Now, it’s about transparency. That means everyone has access to a broader spectrum of opportunities that might not have been visible previously.

At the same time, the AI personalizes the matching process. In other words, it helps employees focus on opportunities that fit their unique skills and interests, instead of requiring them to filter through a sea of options. This levels the playing field and accelerates the talent matching process by identifying the strongest possibilities, regardless of current role or business unit.

Preparing to Support Internal Mobility

An effective talent marketplace depends on a culture that is open to internal mobility. For many organizations, this requires a significant mindset shift before and during the rollout.

At Schneider, the end goal is to retain our employees by placing them in opportunities that are best suited to their skills and help them continue to grow. This is why we strive to foster open dialogue among employees, current managers, and hiring managers about internal mobility and talent development.

To set the stage for OTM, we adjusted several key policies and procedures, and built OTM logic to support our business objectives:

Policy Changes

  • To help employees pursue new opportunities more on their terms, we’ve removed minimum “time in current role” requirements, as well as the need for a manager’s approval when applying for a new position.
  • To encourage actionable communication about opportunities, we ask internal candidates to receive feedback about any application, regardless of its outcome. In the past, this was not occurring consistently.
  • To support continuous learning and development, we request that employees dedicate 10-15% of their time to projects outside of their current role.

System Functionality

  • When using OTM for career planning, employees can see possible career paths based on several criteria, including their desired roles, typical paths that others in their current role have pursued, or whether they’re interested in moving into management. Within those paths, they can see existing open positions, as well as skill development opportunities to help prepare for future roles.
  • In addition, employees can use OTM to build shorter-term career tracks based on skills or experiences they want to gain or a specific position they want to pursue:
    • A track based on skills and experiences lets employees browse available opportunities, as well as courses offered in our learning management system.
    • A track based on positions lets employees select a specific position they’d like to pursue. Then the AI compares market data to find the skills most often applied in that role and identifies which of those skills the employee already has and indicates any gaps. The platform then suggests available projects, mentors and courses in our LMS that could help an employee fill those gaps.
  • Lastly, OTM is not a one-way street. The AI helps employees uncover matched opportunities. But it also lets recruiters and project owners discover candidates with a skill or experience needed for a position or project role. This feature required change management to ensure that our managers perceive it as a tool that enhances internal mobility, rather than “poaching.”

Talent Marketplace Results

To-date, 80,000 Schneider Electric employees are registered OTM users. And since its launch in May 2020, this solution has helped more than 26,000 employees connect with projects, positions or mentorship assignments.

OTM has been a highly effective way to actively involve employees in managing their careers. It supports people as they develop, grow, and shape their future. And it helps the organization more fully utilize talent, while strengthening engagement and retention. At Schneider, our commitment to a world-class talent marketplace is leading to a brighter future, all around.

 


EDITOR’S NOTE:  In developing this article, Jessica Staggs collaborated with Michele Egan, Open Talent Market Digital Transformation Lead at Schneider Electric

How Social Background Checks Preserve Work Culture

Sponsored by: Fama.io

Every employer wants to provide a safe, supportive environment where people can do their best work. That’s a key reason why social background checks have become so popular. But many organizations don’t talk openly about how they make this happen.

I get it. This can be tricky to manage. But workforce wellbeing and your brand reputation are on the line. So, it’s wise to include a strong social media screening solution in your HR toolkit.

What kind of services are leading the way? And what should you consider when seeking a provider you can trust? Join me as I explore these questions on the latest #WorkTrends podcast episode.

 

Meet Our Guest:  Ben Mones

Today, I’m speaking with Ben Mones, Founder and CEO of Fama.io, the world’s largest provider of social background checks, and a leader in applying artificial intelligence technology in workforce screening services. As an expert in this process, Ben is an excellent source of advice for HR practitioners and business leaders.

Linking Culture With Social Background Checks

Ben, welcome! Let’s dive right in. How do you see social background checks tying into the employee experience?

Too often, employers don’t talk about background screening because they think it’s a “dirty” job at the front of the candidate funnel or during the onboarding process.

But that’s not what we do. We look at publicly available online records to detect behavioral patterns associated with intolerance or harassment. We look at things that, if left unchecked, could find their way into a company culture and create some damage.

Remote Work Raises the Stakes

Many of us work virtually now, so the stakes are higher. I mean, how are we getting to know people?

Agree. We often meet our coworkers by friending them on Facebook, following them on Twitter, or exchanging DMs on Instagram. So, if we’re interacting in these digital spaces, the importance of digital identity naturally follows.

Digital Screening Adoption Rate

How many companies are screening candidates or employees?

CareerBuilder and SHRM say 70% of employers perform some sort of social media or online profile check before bringing people on board. For example, they may be Googling someone before hiring them.

Risks of Social Background Checks

Compliance is a big concern with this process. What are the risks?

I think the risks of doing it yourself scare people away.

For example, you could be exposed to things you shouldn’t see. If a recruiter does this internally, they’ll see a person’s gender, ethnicity, pregnancy. You’ll see all these protected classes.

EEO says you can’t unring that bell. You can’t unsee that information. So because bias naturally occurs within all of us, you consider these sorts of things in your hiring process.

Avoiding Compliance Pitfalls

How can employers deal with these risks?

Managing the process through a third party helps squash those risks because you can configure the solution to filter only for job-relevant information.

This means you’re blind to all the protected class information you’d see if you were conducting social background checks on your own.

Key Screening Factors

What core behaviors do you look for in social screening? 

Here’s what we don’t do. We don’t do a yes/no recommendation on a person. Instead, think of flags for things like intolerance, threats, harassment, violence, crime and drugs.

 


For more advice from Ben, listen to the full podcast. And for detailed information about how your organization can benefit from social background screening, visit the Fama.io website, where you’ll find benchmarking reports and other resources for employers.

Also, be sure to subscribe to the #WorkTrends Podcast on Apple Podcasts or Stitcher. And to continue this conversation on social media, follow our #WorkTrends hashtag on Twitter, LinkedIn, and Instagram.

How AI-focused HR Automation Is The Future Of Work

The HR department can be thought of as the company’s core. It is where the primary resources of your company—your employees—are selected, managed, and retained.

Meanwhile, consider what would happen if the company’s core did not execute at peak levels. Workflows would slow, and employees would quickly become dissatisfied with their circumstances. It could lead to decreased efficiency, fewer sales, and ultimately, decreased revenue.

Fortunately, today, we have the option of leveraging HR automation to free up time for focusing on the most crucial functions. Moreover, we have the option of eliminating repetitive, time-consuming, and strained workflows.

Most HR functions would have been further impacted by the sudden and unplanned shift to remote work in 2020 if companies had not adopted new digitalization practices.

So, while the future of work has been discussed and debated, everyone can agree on one thing. Automation and digitalization are inevitable in the post-pandemic world, particularly when it comes to HR functions.

The Age Of Digital HR And Its Challenges

Namely, more than 80 percent of CEOs say HR has played a leading role in responding to the impact of COVID-19, proving the C-suite depends on HR to rally the workforce through disruptive times.

The new digital HR is a value driver. But with the double-edged disruption of automation and remote-working, today’s digital HR professionals face new and unpredictable challenges.

Redefining Roles

With the rise in HR process automation, many HR roles must also be redefined as well. Meanwhile, a lack of technology skills among non-IT staff can be a critical challenge for digital HR teams.

Employee Training 

There is a significant disconnect between current HR skillsets and the internal digitalization of HR teams. But the learning and development-oriented training required to bring HR teams up to speed are typically outdated and ineffective.

HR Automation Affects The Entire Workforce 

Automating HR functions is easier said than done. Many HR functions are actually HR Delivery Services. These services are how an HR team interacts with and provides services to the rest of the workforce.

When it comes to automating these HR Delivery Services, the rest of the workforce must go through proper training.

Implementation Takes Time

Digital HR transformation necessitates rethinking and rewriting the rules of people management, performance management, leadership, recruiting, and many other areas.

Onboarding these new approaches will require considerable time management, resources, and experimentation.

How AI-Based Solutions Simplify Typical HR Functions

Undoubtedly, AI or artificial intelligence is the next big driver of transformation. AI is already changing HR operations by making them more efficient, allowing for better decision-making, and automating routine tasks.

Accordingly to a 2017 KPMG survey, 56 percent of respondents expect to see an improved performance due to HR automation. Meanwhile, 54 percent believe that sophisticated algorithms will free up people for more strategic tasks.

AI, cognitive processing, advanced analytics, and digital applications are all transforming how HR teams operate. Here are a few ways through which AI-based automation could simplify your people processes.

HR Chatbots Help Streamline Communication

Cognitive automation uses NLP (natural language processing) to interact with employees through HR chatbots. Think of it as an HR cloud-based digital assistant. It handles things like general inquiries, routine transactions, time-off requests, and payroll management.

AI Makes Recruiting Easier

Automation makes sourcing talents much simpler yet less biased. AI-based hiring tools can efficiently filter CVs, shortlist applicants, schedule interviews, collect interview data, help streamline the employee onboarding process, and manage new hires.

Cloud-based AI tools are used to compare job candidates to employees who have excelled in similar roles within the organization.

AI Enhances the Employee Experience

HR professionals can enhance employee experience by harnessing AI-based automation and digital tools on employee-centric programs.

These programs can range from rewards and recognition, employee benefits and compensation, employee surveys, and more. Automation of such programs ensures that engaging people is a continuous, timely, and measurable business process.

AI Aids In Decision-Making

AI-based tools empower HR leaders to make intelligent and faster decisions through tracking employee trends, insights, and data. Non-human involvement also attributes to fewer errors.

Additionally, discussing the complete role of AI in simplifying business processes is beyond the scope of this article. But what we will be discussing is why HR leaders must focus on going digital as soon as possible.

Does HR Automation Truly Drive Better Business Performance?

Digital-first human resource management focuses on innovation and automates everyday administrative tasks. Meanwhile, HR professionals can focus on doing priority tasks. Measuring and improving productivity, understanding talent needs, designing the future workplace, and more.

Here’s how AI-based automation will help them do so.

Workforce Insights 

Data is the new currency of today’s world. Without it, you might very well be shooting in the dark. That stands true for HR too, as attracting and retaining talent is a crucial function of HR.

With the implementation of AI-based tools, collecting, assessing, and acting on data-driven insights becomes a lot easier. It answers some vital questions like, “What benefits do employees really want?” and “Why is the turnover rate higher than last year?”

Competitive Advantage 

According to a Unit 4 survey, office workers spend 69 days annually on administrative activities. Ultimately, it ends up costing businesses $5 trillion each year.

Automation software will streamline HR functions, increasing employee productivity, efficiency, and engagement. Thus, if a company continues to rely on manual workflows, it risks losing its competitive edge.

Employee Experience

In the 2017 Deloitte Human Capital Trends report, 80 percent of HR and business leaders responded that employee experience was “important” or “extremely important” to them.

It reflects how today’s leaders understand that keeping their workforce happy is vital to “future-proof” a company.

AI and automation software can help you design the perfect employee experience through the timely collection, analysis, and monitoring of employee-centric data. This data can include metrics like engagement levels, onboarding data, exit data, and so on.

How Will HR Automation Affect Your Workforce?

One major upheaval that will come with HR automation is the eventual need for workforce shaping.

Workforce shaping is the process of redefining employee roles and responsibilities to meet the demand of a digitally transformed workplace. It means that no job role is a fixed one. An employee can have a completely different job role by the end of the month.

Meanwhile, the job requirements will change, and the pool of candidates will get more diverse.

It will be easier than ever to use HR automation software to improve the employee value proposition. The employee value proposition refers to the benefits you provide an employee in exchange for their performance.

HR professionals can use AI-based HR tools to focus on the critical factors of making an employee feel engaged. Specifically, these factors include performance-based recognition, compensation, employee benefits, career development, and more.

Key Takeaway

In conclusion, HR automation represents the inevitable digital transformation shift that experts long predicted.

It may be difficult to manage a mostly remote workforce–but only until HR teams become accustomed to the digitization of their day-to-day operations.

Using Ethical AI Technology to Champion DE&I Efforts

Anyone can launch a DEI initiative. The big challenge is to succeed.

What’s the biggest roadblock? Human unconscious biases.

Psychologists have shown over and over in research studies that our biases are ingrained and automatic. Even if we think we’re champions of equality, the associations are likely still there. For example, studies show that it’s not just men that associate being male with being smart. Women do it too.

Why do we have unconscious biases? And why is it so hard to shake them?

Biases are shortcuts. They are quick ways to make choices. That doesn’t make them good ways to make choices. They just help us navigate our world quickly in a way that feels good. These biases become particularly prominent in situations where we have to make a high volume of decisions quickly. There is simply no time to be thoughtful in these cases.

In the world of HR, the steady stream of resumes and constant pressure to hire is the perfect setup for unconscious biases to have free reign. Recruiters hire candidates that feel like the “right fit” and base these choices on biases. There is really no other way for the human brain to process that volume of information in a more effective or objective manner.

So how do we move towards hiring equity and remove these biases? Embrace AI technology.

Using AI technology in HR can be off-putting for two reasons:

  1. Some feel concerned about the “ick factor” of having not enough humanity in the HR process. In other words, who are machines to tell us how to hire?
  2. Others feel concerned about having the worst of humanity hard-wired into the HR process. They wonder: What if the technology learns our bad choices and implements them more broadly?

In either case, the AI technology underpinning any HR solution must stay ethical. In the HR space, there are many AI solutions. But not all of them are created equal. To ensure the technology you’re selecting is part of the solution and not an unethical part of the problem, you must be an active consumer of these technologies.

How to find the ethical AI technology for your team

To keep AI tech providers honest and their solutions ethical, you’ll need to avoid the following common pitfalls:

  • Baked-in biases: Unethical AI can embed inequity into the HR system itself. Make sure you are not codifying biases in hiring and making them more pervasive.
    • How to avoid them: Start with good, bias-free data. Be choosy with the data that your AI learns on. Bad data is worse than no data.
  • One-size-fits-all approaches: Unethical AI tries to be the universal solution for everything. AI doesn’t work well when its expertise is spread too thin.
    • How to avoid them: Narrow your AI’s focus. AI is at its most powerful when targeted to a specific space like human resources. This keeps AI-driven answers fast and accurate.
  • “Black box” systems: Unethical AI lacks transparency and may have unclear or opaque scientific methodology and/or output. This can lead to legal defensibility issues.
    • How to avoid them: Create a feedback loop where the humans that make up your HR team and the AI tech they rely on can learn from each other. Make sure you understand both the science behind the technology and its output.

How to partner with AI technology

We shouldn’t be using AI tech to replace humans, but to augment them. AI can radically alter how work gets done and who does it. It can help humans amplify their strengths, extend their capabilities, and free up their time.

But humans also need to do their part to support AI in return. They need to:

  • Help AI train to perform its tasks
  • Be able to explain these tasks to relevant stakeholders (which sometimes includes the AI itself)
  • Have a level of oversight to make sure these tasks are being completed responsibly

Creating a collaborative process where AI plays an objective gatekeeper role that is focused and transparent will help HR personnel feel confident adding ethical AI to their processes. It will also reassure HR professionals that the humanity of Human Resources will remain intact and can even be enhanced by incorporating AI. When AI and humans stay in the lanes that they excel in, everybody wins. AI gets to do what it does best, and so do humans.

Make sure to keep the lines of communication open between your AI technology and your human team. When AI and humans learn from each other, the people that you hire will feel the difference. And you’ll be confident you’ve hired the best person for the job–bias-free.

The Future of Work: AI Transforms Career Progression

What is the shelf life of your professional skills? According to research, not very long. In fact, one in three skills from an average 2017 job posting in IT, finance, or sales is obsolete due to continued digital innovation. If that stat doesn’t shock you, it should. The skills we have today are expiring fast, with some experts estimating their life expectancy at just two to three years.

While we can’t place blame solely on the global COVID-19 pandemic, it and other world events have accelerated us toward an environment of unrelenting business transformation and permanently pixelated work arrangements. Employers must now prioritize a more inclusive, purpose-driven culture through broader strategic skilling investments to retain and attract top talent.

Leveraging AI for skill proximity

As our skills become increasingly outdated, new skills will replace them. So, how can employees expect to excel in their careers when today’s business landscape is continuously evolving? It boils down to one word: visibility. A barrier many employees face in the workplace is a lack of visibility into career advancement opportunities. Employees are also largely unaware of the resources and connections available to help them achieve their career goals. This obstacle stems, in part, from a prolonged debate regarding who within a business owns career development. Difficulties aligning the needs and wants of the employee with those of the organization has also contributed to the issue.

Through skills proximity, employers can provide greater visibility. Companies should prioritize an employee’s distance between skills and identify how skills correlate to expedite development. If businesses can find a balance between where employees want to take their careers and where they might be able to take their careers within the organization, they can recognize and foster the skills needed to help them grow.

AI technology has a role to play here. For employees to proactively pursue a growth plan that accelerates career mobility, we need to leverage AI to make skills data and qualification information readily available. Resurfacing relevant learning content and development opportunities is also paramount to an employee’s future success. Done right, it can deliver a broad range of business benefits too. Improved organizational agility and workforce productivity, as well as increased transparency and DE&I, are all advantages attributed to AI.

In addition to AI technology, learning and development content is another tool necessary to ignite career development at work. However, human resources and talent leaders first need to identify a way to connect learning and development to performance results–and annual performance reviews aren’t going to cut it.

Employees and businesses each play a role

There is no one size fits all approach to employee engagement. For employers to maximize the success of their training programs, they must first personalize the content available to each employee. Lessons should be adapted according to an employee’s needs, learning style, and preferred delivery method, in turn allowing the employee to more easily navigate their own development and gauge how their skill-maturity aligns with their overall career goals.

Businesses also need to reconsider how they measure learning and development. Self-directed learning pathways require an element of unstructured exploration required for career growth. Currently, however, course completion and time in course are the metrics being utilized. While important, we need to pivot and explore other factors, including course engagement and the focus of content employees primarily seek out.

Ultimately, employee learning is the foundation of high performance and a key motivator for those wanting to stay at their current company. According to LinkedIn’s 2021 Workplace Learning report, managers are 3.3x more likely to still be with their company in two years if offered the room to learn and grow. Proof that when you invest in people, they will invest in you.

Employee experience is critical for overall company success

The bottom line is the best way to help employees achieve their full potential is to provide career growth opportunities. An AI-driven platform can provide employees with a unified view of skills. It can provide a measurement of the proximity of different skills. Also, it can provide continuous monitoring of the new skills required for continued career progression. Organizations that utilize comprehensive skills data will have a better understanding of their talent’s existing skillsets. Additionally, they’ll understand what will be required of them in the future to adapt.

Between artificial intelligence and the careful deployment of skills-oriented content, anyone with the intrinsic motivation to grow can benefit.

Image by Matthew Henry

HR Lessons Learned: Hiring Takeaways from 5 Different Industries

Talent acquisition is one of the most critical yet challenging undertakings for any business. Companies in many sectors face a shortage of workers today; they face stiff competition to hire applicants—any applicant. At the same time, hiring managers in other sectors must sift through a surplus of applications to find the best candidate.

In 2020, 74 percent of CEOs globally were concerned about the availability of key skills, with 32 percent being “extremely concerned.” There’s sufficient reason behind these concerns, too. A successful hire can extend a business’s value, while a poor selection can represent a considerable waste of resources.

As you can imagine, HR teams and recruiters are looking for ways to solve this problem. And many look for help in this area by turning to other industries. For example, what are companies in tech doing to improve efficiencies in hiring practices? How are organizations in the manufacturing sector, many of which are struggling through a long-term labor shortage, meeting this challenge?

To answer those questions, let’s look at standard hiring practices in five sectors at both ends of the labor spectrum. Perhaps by reviewing the HR lessons learned in each, your company can learn how to optimize your talent acquisition strategy.

1. Technology: Pre-employment Testing

The technology industry is one of the most rapidly growing sectors today. It also involves a high level of specialization and expertise, and as such, has had to develop similarly specialized hiring methods. Most notably, tech companies frequently rely on pre-employment tests.

In the tech sector, an applicant’s education and occupational background isn’t always the most reliable evidence of their skills or aptitude. The tech industry has recognized this, and so businesses frequently require applicants to take a skills assessment. These tests offer more conclusive proof of a candidate’s aptitude in a company’s specific needed skills.

The downside to pre-employment testing is that it’s time-consuming. The more in-depth the assessment, the longer it will delay the hiring process. If companies can afford that time, though, borrowing this practice from the tech sector can produce impressive results.

2. Healthcare: Artificial Intelligence

The medical sector has an 18.7 percent turnover rate, so healthcare companies need to recruit new workers quickly. Consequently, many organizations have turned to artificial intelligence (AI) to streamline the hiring process.

The healthcare industry has a history of using AI to increase medication adherence and more, so applying it to hiring was a natural step. Hospitals use it to automate tedious, repetitive tasks like interview scheduling and application screening. One of the HR lessons learned here is that automation gets promising applicants to the interview stage of hiring quicker, helping speed the journey from application to onboarding.

AI hiring tools are relatively new, but their impact is snowballing in many hiring sectors. With AI, larger businesses in various industries have found solutions that streamline their hiring processes by automating several recruiter and candidate tasks. As technology advances, these tools will be able to do even more to help the hiring process–and they’ll also be more available (and affordable) to smaller businesses.

3. Manufacturing: Passive Candidate Search

Manufacturing companies have had to work with an ongoing labor shortage for years. With fewer people entering the industry, manufacturers have had to find new avenues for recruiting workers. One of the most effective of these strategies has been searching for passive candidates.

Businesses have found that many manufacturing professionals are hard to find because they’re not actively looking for a new job. These workers don’t often apply independently. Given the right opportunity, however, they could be willing to switch careers or positions. Scouring databases of nearby workers, industry-related forums, and other data sources to find these employees helps manufacturers find ideal candidates.

Other industries facing labor shortages can employ the same tactic. After all, sometimes the best employees aren’t actively looking for new work. Until a better offer comes along, that is.

4. Real Estate: Mentorship

Success in the real estate sector often requires experience and intimate industry knowledge. While many companies’ reaction to this hiring environment would be to look for outside, experienced hires, many brokerages take a different approach. Instead of finding already-knowledgeable employees, real estate companies create them through inside hiring and mentorship programs.

The theory behind this approach: It’s easier to find an eager but inexperienced new hire than to poach an experienced outside worker. Real estate brokerages understand that by pairing recruits with their veteran employees, they can cultivate expertise.

By the time these once-inexperienced recruits become eligible for higher-level positions, they’ll be more qualified for it than anyone else. In fact, research shows that outside hires take three years to perform as well as internal hires doing the same job. So, rather than having to find employees in a competitive marketplace, one of the HR lessons learned here is that investing in better training through mentors helps companies more organically build the best workforce.

5. Education: Internships

The hiring process in the education industry is unique. Teaching at a K-12 level requires years of experience through hands-on education programs and passing certification tests. Not all industries have such high requirements, but they can still learn from these pipelines.

College students pursuing education degrees finish their programs by student-teaching at a school. More often than not, the school systems where they student-teach will later hire them as full-time teachers when they graduate. Businesses and other industries can mimic this process by instituting intern programs that act as pipelines to employment.

Universities frequently involve faculty in interviewing and hiring their colleagues. Other industries can benefit from this same practice. In this longer-term hiring approach, employees already have intimate, hands-on knowledge about a position’s actual demands. So they can help spot ideal or unideal candidates and advise hiring decision-makers accordingly.

Businesses Can Learn a Lot from Other Industries

In a labor shortage, hiring companies must look further than their competitors for ideas about how to improve their hiring process. There are many HR lessons learned when taking inspiration from other industries like those mentioned above. These industries can provide practical, novel insights that businesses may not have gained otherwise.

These five industries are not perfect examples of ideal hiring processes, of course, but they all feature useful takeaways. Learning from each, then combining methods as necessary, can help create the optimal talent acquisition system for your company.

 

Image from Marvent

Why We Must Unlock the Power of AI for Small Businesses

For all the attention large enterprise organizations get, small businesses have a tremendous impact. According to U.S. census data, companies with fewer than 500 employees make up more than 99% of all businesses. They also account for more than half of all economic and employment activity. This means it is time to unlock the transformative power of AI for small businesses.

Many of the most exciting artificial intelligence (AI) tools available today are targeted at larger companies. Sometimes, much, much larger. While some of that is by design, it doesn’t have to be this way. In fact, given the promise and potential of AI, companies that develop these tools should focus on how they can bring them to the small businesses that power such a significant portion of our economy.

We know it won’t be easy.

The Good (And Not So Good) Reasons Small Business Has Limited Access to AI

Unlocking the power of AI for smaller businesses isn’t just a matter of flipping a few switches in a tech solution. There are a variety of reasons why — some good and some bad — so much AI innovation has been focused on the top 1% of businesses.

Let’s start with one of the bad ones: the SaaS business model.

The economic and employment activity associated with large enterprise organizations is gigantic. Getting a big enterprise customer might be worth dozens or even hundreds of companies with fewer than 500 employees. For SaaS business models that depend on growing recurring revenue, often based on the number of employees or users, this model makes sense — at least for them. After all, think about how much easier it is for AI builders to target and service the Fortune 100 or 500 than it is to target millions of smaller businesses.

Although that may make sense from a pure business perspective, it keeps a growing class of buyers from benefiting from the innovation available to larger firms.

A second, less bad reason: Many AI tools are imagined as a way to solve big company challenges. For example, an AI chatbot that interacts with potential customers on your website and answers their questions sounds nice, right? But is it worth the large-scale investment for a company that sells $500,000 a month to a handful of customers? Probably not. Another example: Do organizations need an AI warehouse logistics solution if an employee can jog across their storehouse in 30 seconds? Again, probably not – or at least it isn’t worth the investment required.

While there’s obviously room for niche solutions, many of the limitations are driven by a lack of imagination. But there’s one area that’s ultimately challenging for smaller businesses to compete with…

The One Big Challenge for Small Business: Data

Larger organizations have one key advantage: data – usually, lots and lots of internal data, an incredibly relevant factor to AI.

Even more than just the sheer cost or the possible value AI could deliver to organizations, many tools simply aren’t a good fit if you don’t generate a lot of data from which to learn. For instance, it’s much easier to apply machine learning to a database with millions of customer orders across thousands of different product offerings. This large data set gives a recommendation engine a much richer data set to pull from.

It’s not just the initial setup, either. AI runs better when you are pulling in more real-time data. After all, how can a machine learn about predicted order flow if you’re not taking in hundreds or thousands of orders a day?

For small businesses, the lack of big data is a significant hurdle. But it doesn’t mean there aren’t solutions that can be applied to smaller organizations.

6 Ways Companies Can Cater AI to Smaller Businesses

Although there may never be an AI inventory solution for a small parts manufacturer, there are other areas where AI can serve smaller organizations well. It starts with solution providers and smaller organizations working together to consider their needs and then determine what’s truly possible. Here are just six ways AI companies can better serve small businesses:

1. Focus on finding solutions for more targeted needs

Instead of replacing a major part of the business, how can AI help streamline painful parts of your workflow? You may not be able to get a full AI assistant, but a tool that schedules meetings can be helpful even at smaller organizations.

2. Apply AI insights where internal data sources are not available

There’s an incredible amount of external data out there to drive AI insights. For example, it doesn’t require any internal data at all to leverage a recruiting process for small businesses that uses publicly available information to determine when a small business should reach out to a candidate.

3. Use AI to bring new expertise that a leaner team may not have

AI can also bring expertise that only an experienced team could deliver. For instance, an AI-driven programmatic ad-buying solution could supplement a team with more expertise on broader brand-building campaigns.

4. Be able to ramp up a solution quickly

Small businesses don’t have months to get up to speed. Instead, AI could help those businesses focus on consumer-friendly solutions that can get someone using their platform with very little ramp-up time.

5. Look for organizations that offer different pricing models

Traditional SaaS models are great for SaaS companies – but it’s not always the right model for smaller businesses that only see the top dollar amount on a long-term contract. A flat-rate or shorter-term contract – perhaps with on-off capability – can get people to opt-in to a more affordable, more practical AI solution much quicker.

6. Provide built-in support

You can’t support small businesses the same way you support large corporations. That means including tutorials and walk-throughs with the product is critical. Affordable, all-inclusive service and customization plans would also appeal to smaller businesses.

AI for Small Businesses: They Deserve the Power of AI

The next hire, sale, or customer experience touchpoints are all so important to small businesses. The impact of each on the budget of a small business, as a proportion of their expenditures, is enormous.

Enterprise organizations will always be able to make use of the latest and greatest AI technology. It’s time to apply that same energy to finding solutions for smaller businesses, the lifeblood of many communities across the U.S.

No, it won’t be easy. But by working together, we can help unlock the power of AI for small businesses.

 

Image by Peshkova

ATS + AI: Using Talent Intelligence to Unlock the Potential of Candidates

What is talent intelligence? And how can it help drive the right candidates into your company’s talent funnel?

An applicant tracking system provides the foundation for many corporate talent acquisition departments. These applicant tracking systems do what the name implies: they track applicants. They also store information such as resumes, perform keyword searches, help companies with government rules, etc. And to that end, they do the job.

And yet, many companies need more. 

The reality is that companies design ATSs to hire people who’ve done a job similar to one that’s open today. But for the companies whose businesses are changing rapidly, hiring someone based on specific experience isn’t sufficient. Take, for example, this quote from the recent 2021 HR Tech Market report from the analyst Josh Bersin: 

“I recently interviewed the head of talent acquisition for a large pharma company. She told me that the science of genetics is advancing so fast that they can no longer recruit for specific positions or jobs. Rather, her teams now look for people with advanced scientific expertise and recruit them into jobs needing these skills. This is a big trend in AI, machine learning, and cyber, where the core disciplines are advancing so fast that companies can’t hire for specific positions.”

Like this pharma company, many employers need to be future-ready. They need to hire for jobs that haven’t been created yet. So they need to hire people for potential and capabilities – not experience. Their ATS is not enough.

ATS + AI = Talent Intelligence

A system of talent intelligence, on the other hand, is designed to hire for potential. It considers an applicant’s “adjacent skills” – enabling them to succeed in an open role.

Here are some of what companies can do by pairing an ATS with artificial intelligence:

Add Deep-learning AI to Searches

Adding the deep-learning capabilities of AI to searches helps bring people with the potential to do the job to the surface. By identifying adjacent skills and delivering far more relevant profiles, an employer increases the number of qualified candidates in their talent pipeline.

Use AI to Enable Talent Rediscovery

AI helps find people in a “Talent Network,” which includes past applicants, employee referrals, and “silver medalists” who may not have been a fit before but are now. We’ve found that companies that pair AI with an applicant tracking system find that roughly one-third of new hires coming from past applicants.

Building a Talent Network

A Talent Network is more than a database of past applicants. It can include employee referrals, ex-employees, and even current employees. In fact, we’ve seen from our customers that a Talent Network averages roughly about 200 times the number of employees at a company. So, as a rule of thumb, if you have 10,000 employees, you have something on the order of a 2 million person Talent Network when pairing an ATS with a capable AI platform. And more data equals better search results and more qualified candidates.

Make Matches

With AI, companies can see who the strongest matches are for any job, regardless of whether these matches are past applicants, ex-employees, passive/sourced employees, or referrals with the potential to succeed. This saves time and improves quality of hire. Postmates turned to a talent intelligence platform and saw a 46 percent increase in strongly matched candidates between September 2019 and September 2020.

Focus on Skills, Not Jobs 

An AI platform understands the capabilities, including current skills and learnable skills, of every individual. Without this, with just an ATS, companies often default to “who has done the exact job we’re hiring for” based on antiquated keyword searches.

Personalize a Career Site

Within a career site powered by talent intelligence, candidates can immediately find the right job for them. They’ll also understand the reasons why that job is a fit for their qualifications and potential. This improves engagement and measurably lowers drop-off rates. Companies can also add a chatbot to improve the candidate experience and handle employee queries more efficiently.

At AirAsia, for example, the percentage of recruiting website visitors who eventually applied for a position rose 35 percent after adding talent intelligence to its career site. At Dexcom’s career site, 40 percent of career site visitors now apply for a job, and 42 percent upload a resume.

Improve CRM

Rarely does an applicant tracking system come equipped with the kind of technology you find in leading sales and marketing platforms. (Heck, many of the CRM systems made for the talent industry are lacking as well.) The ATS-AI combination, though, nurtures candidates in a pipeline based on their interests and delivers content of interest to them. Veterans, for example, can receive blog posts or company information about a company’s work with veterans and the military. Nutanix has seen a 70 percent open rate with some of its targeted campaigns. 

NextRoll decided to sponsor the Grace Hopper Celebration, an annual event that draws thousands of women who want to pursue a career in engineering. It sent emails to all women engineers in its database of potential candidates, saying NextRoll would be at the conference. “We got an incredible response that greatly exceeded our expectations,” Global Head of Talent Jody Atkins recalls. “People came up to us and said they received our email and wanted to seek us out. That was really rewarding. And it helped our employer branding, which was the goal of going to the conference.” 

Conference sponsors received an electronic book of resumes from all attendees. In the end, NextRoll uploaded more than 10,000 resumes.

NextRoll has also tailored contacts with individuals identified as high-potential candidates. “You have to engage people multiple times if you want to attract them to your company,” Atkins says. “Our engineers are encouraged to write blogs, and we use Eightfold to identify the subset of people in our database who would be interested in the subject of each blog.”

Improve Diversity

Companies like Postmates also have seen huge improvements in the diversity of their job applicants after combining AI with an ATS and hiring for potential. Postmates increased Black, Hispanic, and female applicants sharply, the latter by 91 percent between September 2019 and September 2020. 

Run Virtual Events and Hire Virtually

Virtual and in-person events are just so much more effective with the AI-ATS combination; it allows companies to spend their event time on the people who are strong matches for your jobs. AirAsia said that “Virtual Event Recruiting improved our recruiter’s efficiency and the quality of candidates through AI-enabled candidate matching. It was a single place to review and manage registration, assessment, and candidate experience.”

Schedule Interviews 

When asked to break down how they spend their days, many recruiters will tell you they wished they were doing a lot more… recruiting. Instead, recruiters get bogged down coordinating schedules. Adding an AI-based interview-scheduling system to an applicant tracking system frees recruiters up to do what’s most valuable and more fulfilling:

  • AirAsia cut recruiters’ coordination time by about 48 percent
  • Conagra  told us it has given “time back to recruiters to allow them to be true advisors to our business leaders.”
  • COIT Group said it has “freed up the recruiters to focus on the part where the human element’s important and allow them to go in and eliminate having to spend all day looking through that database for pockets of gold.”

Measure Results

Augmenting your ATS with the right platform offers ready-to-use, real-time reporting for diversity, CRM, recruiting pipeline, and other talent functions. So, with some legacy systems, a company may just see that it has a “diversity problem” if it can determine how many women, to take one example, work at different levels of the company. You can hone in on the problem with talent intelligence: are people from under-represented groups dropping off at the screening stage? The interview? Not accepting offers? In which departments/managers is the problem the worst? In the end, identifying the specific problem helps get to a solution.  

Pair Your ATS with AI

The bottom line is that, for the most part, an ATS actually does do what humans designed it to do. By definition, it’s a system of tracking and storage that relies on keyword matching based on the candidate’s experience. However, it is not a talent intelligence system – one that provides the ability to hire based on adjacent skills, as-yet untapped potential, and capabilities. 

Pairing an ATS with AI – and creating a talent intelligence platform – can dramatically increase your return on investment. And it can drive the right candidates into your talent funnel. Yes, even for jobs that didn’t exist until now.

 

Image by MNBB Studio

HR Automation: Understanding the Limits of Artificial Intelligence

Artificial intelligence has been infiltrating the business world for the past several years and has also played a major role in HR automation. Today, companies across all industries are using AI to automate a variety of job tasks and replace human capital. And by the mid-2030s, PwC estimates, 30% of all jobs will be automated.

The COVID-19 pandemic only promises to accelerate this trend. Now more than ever, business units are looking to boost their efficiency and save money through automation ‒ and HR is no exception. Automation has the potential to help HR teams recruit, hire, and train employees — and many organizations already use AI-driven software to carry out these tasks.

At first glance, it might make sense to hand some of these repetitive responsibilities to computers instead of humans. But as the executive director of an organization that teaches tech skills and works with companies on talent solutions, I believe these HR functions should remain largely human-driven.

HR automation can — and often does — go awry. Amazon’s HR team experienced this back in 2018, when it was using an algorithm to automatically review résumés. Unbeknownst to them, their AI was penalizing job applicants whose résumés included the word “women.” This bias went on for a solid year before the company noticed, causing the elimination of countless qualified candidates.

This cautionary tale illustrates why HR teams should be wary when implementing automation into their workflows. After all, AI might look like an enticing, cost-effective tool for screening candidates and building teams. But it can also cause your company to waste time and resources.

The Invaluable Human Element in HR

HR is all about humans. It requires a level of knowledge, nuance, and critical thought that simply cannot be replicated by even the most sophisticated AI solutions. As this technology continues to evolve, HR practitioners must remain vigilant about their use of automation. They also must ensure they appropriately devote human minds to the tasks that require them.

Looking ahead, HR teams can play a key strategic role in helping their companies prepare for the automation revolution. Here are three ways they can do so:

1. Futurecast for the Workforce of Tomorrow

According to the World Economic Forum’s “Future of Jobs Report 2020,” automation could displace 85 million jobs and create 97 million new jobs by 2025. No industry will be immune to this massive redistribution.

What skills will your company need one year from now, five years from now, and 10 years from now? HR professionals should steep themselves in market research and trends, and they should start proactively hiring for those skills today. Companies that conduct this analysis early and often will put themselves at a considerable advantage in the future.

2. Identify Opportunities (and Inevitabilities)

HR teams should keep a close eye on where automation is heading in their industries and how other companies are using this technology effectively. They should help their companies identify which positions are solid candidates for automation, which tasks should be driven by humans, and which jobs could be flat-out eliminated.

As jobs are automated and redistributed over time, companies will find themselves continually needing different skill sets across each department. HR practitioners should keep a watchful eye on how their teams are changing and continuously reassess the human skills that matter most. Creating and executing a reskilling program that trains existing employees in these skills will only serve your company well.

3. Evaluating Candidates for Reskilling and Upskilling

After developing an automation road map, HR teams can start reskilling and upskilling high-performing employees for the jobs of the future. First, they should identify adaptable workers who demonstrate a passion for learning new skills. They should encourage these individuals to pursue new roles after their jobs are automated, then provide them with learning opportunities.

This reskilling program must be crafted and carried out by human intelligence. It requires a series of interviews and heartfelt conversations, as well as a keen eye for soft skills. AI might be able to quickly sort through résumés and search for keywords. On some level, AI can also identify people who are qualified for the job — on paper. But AI cannot assess a candidate’s soft skills or persuade them to change their career path. Even newer technology that can detect facial expressions and vocal tones during video interviews cannot accurately assess a candidate’s fitness for a job. Traditional human-to-human interaction is the only way to uncover someone’s intangible attributes and their openness to reskilling.

HR Automation: Proceed with Caution

Automation remains poised to completely transform the industrial world. This incredible technology is forcing millions of companies to rethink their inner workings. It is exciting to imagine the multitude of ways companies can use AI to become smarter and more efficient. And yet businesses should proceed with caution when implementing it in the HR realm.

Team-building is a delicate process, and as we know, automation can present many drawbacks. Leaders must delegate vital HR tasks to human intelligence, not computer code. To help companies cope with the rise of automation, HR teams must use their critical thinking skills to assess the technological landscape, understand talent gaps, and identify opportunities for reskilling.

 

 

Michael Dziedzic

[#WorkTrends] How AI is Reinventing Talent Management

How will AI transform talent management? How will it impact talent acquisition?

One of the biggest challenges in talent management today? Enabling our employees to develop within our organizations — helping them grow and learn new skills so they don’t feel the need to opt-out and move on. 

In today’s world of work, employees expect companies to provide an opportunity for growth. In fact, a recent study noted in Forbes shows 78 percent of employees surveyed during the pandemic believe employers should help them become better off than they were before. 

Many quality organizations, in response to this growing work trend, are more intentionally providing continuous learning opportunities for team members. They are turning to technology to facilitate upskilling and reskilling and to improve internal mobility. And in 2020, that means using AI to first provide actionable insights — and then again leveraging the power of AI when executing the talent management vision.

Our Guest: Brad Sutton from Eightfold.ai

In this week’s episode of #WorkTrends, I am joined by Brad Sutton from the Strategic Accounts team at Eightfold.ai, a talent intelligence platform for enterprises that leverage AI to hire, engage, and nurture talent. Together, we talked about how AI is transforming the talent management game — from recruiting to team building to succession planning. As we learned, AI is also proving to be a powerful ally in retention engagement initiatives as well.

Brad shared an example of a company struggling to change their talent game: “They had 100 people taking inventory of their people’s skills. They spent a lot of time and money, only to learn that once you go through an exercise like this, it’s just one snapshot in time. Those skills expire after two to five years; many are out of date soon after a thorough people skills analysis project is over.”

Brad added: “So, organizations don’t necessarily know what skills each person has mastered today.  And, internally, we don’t do a good job of understanding all the things we’re each capable of tomorrow.”

There has to be a better way, right? To provide growth opportunities within an organization, we must know the full potential of each leader and team member. Brad agrees: “If your company’s not telling you, ‘Well here are the opportunities that you have here,’ or if somebody’s not advocating for you, it’s hard to find that next opportunity inside the organization.”

So, people opt-out. They choose to move on. And, during their subsequent job interviews, their skills, capabilities, and potential are thoroughly discussed. Rather than let that happen, Brad says we can rely on Talent Intelligence.

Talent Intelligence = Talent Management

“At its core, Talent intelligence is understanding the skills and capabilities of the people inside your talent network. Your talent network is every employee, everybody within your HRIS, and anybody who’s ever worked for your organization. It also includes alumni, referrals, and candidates. Often, this talent network is 100 to 200 times the size of your organization. AI looks at that huge talent network, then understands the skills and capabilities of each person. It allows us to know who has the potential to do something else, and learn something new.”

I learned from Brad that AI can help us assess, in real-time, who is ready to grow — perhaps even before we realize an opportunity for growth exists. 

“That’s what Talent Intelligence does,” Brad says. “It understands what you’ve done, and what you can do.”

Brad and I discussed how AI-driven talent intelligence can make a difference in many other areas, including reskilling and upskilling, retention of top talent, and a topic always near and dear to my heart: diversity and inclusion. Be sure to catch the entire episode. You won’t want to miss a minute!

#WorkTrends Twitter Chat: Wednesday, 10-28

Be sure to take advantage of the opportunity to engage with Brad on our next #WorkTrends Twitter chat, Wednesday, October 28 at 1:30pm Eastern. Brad will help us answer these questions:

  • Q1: Why do organizations struggle with talent management?
  • Q2. How can leaders make their talent management strategies more effective?
  • Q3: What strategies can promote smarter talent management for the future?

See you there!

 

Find Brad on LinkedIn.

 

This podcast was sponsored by Eightfold.ai.

 

Editor’s note: To better meet the needs of our valued community members, the #WorkTrends podcasts and also our Twitter chats have evolved! Check out the new FAQ page and #WorkTrends Podcast page. Then let us know how we’re doing!

 

Adrien Olichon

[#WorkTrends] The Inspiring Power of AI-Driven Collaboration

How can AI-driven collaboration help extend our company culture to the remote workplace?

You don’t want to miss a single episode of #WorkTrends…  subscribe to the podcast now!

At TalentCulture, we have always been a remote workplace. So lately, I’ve found it really interesting to work with companies that are experiencing this for the first time. It’s been fun, and inspiring, watching them pivot so quickly — and to see them function so well within the digital workspace we already knew so well.

For these and so many others, the many actions and interactions that happen within organizations have shifted to remote. Communication, meetings, feedback, managing, planning — all now happen virtually. It’s been really exciting to see work teams make the transition and thrive, especially in the HR space. In the last few months, I’ve often felt the urge to virtually pat HR teams on the back as they realize they can, in fact, run HR remotely. As they do, they’re not just learning a new way to operate.

They are learning that Artificial Intelligence, or AI, plays a huge role in how they manage, monitor, measure, and lead their efforts.

Our Guest: Guibert Englebienne of Globant

That is why I invited Guibert Englebienne, the Chief Technology Officer & Co-founder of Globant, on this week’s edition of #WorkTrends. I wanted to talk about how AI-driven collaboration enables us to manage our work and engage our people in entirely different ways. And how the best forms of AI enable us to work together efficiently and creatively from anywhere in the world. 

I first asked him what makes today’s workplace so different from past versions. His response quickly left me impressed with Guibert’s passion for his work, and for helping HR teams: “Technology has accelerated the world we live in today. That fast-paced competition has made companies focus on delighting consumers. Now it’s time to delight employees as well.”

“The pandemic forced us to digitally transform the world overnight. Organizations suddenly found themselves in a broadly remote working environment. That creates a lot of challenges,” Guibert added. “It was natural, at some point, to start asking, ‘Is our team okay?’ and maybe even ‘Is it there?’ When we were at the office, we could see each other’s eyes. We could see if someone was okay. And very suddenly, that all went away.”

The Power of AI-Driven Collaboration

As we’ve talked about many times within the TalentCulture community, the human connection isn’t all that went away. We also lost our connection to our company cultures. Guibert agreed, “We knew we needed to continue hiring and growing without the ability to live and breathe our culture. So, we at Globant set out to digitalize our culture.”

As Guibert admitted, this was a real challenge. “Soon, though, using AI-driven collaboration, we realized we had created a social operating system that allowed for a more human organization. One in which we each connect to more people. We get to know them better. And at the same time we create a lot of collective intelligence for the organization, which allows us to be more adaptable.”

A Human-Centered Operating System

Guibert went on to tell us exactly how Globant created this human-centered operating system. He also shared how AI plays a major role in creating a culture that inspires while also helping decide exactly what kind of organizational culture we want to build. The conversation, while it left my head spinning a bit, made me realize just how far we’ve come since the pandemic started and just how far we can still go. You don’t want to miss a minute of this episode of #WorkTrends!

We’re not done talking about AI-Driven collaboration yet, though. Please join us next Wednesday, October 7th at 1:30pm for a special #WorkTrends Twitter chat. During what is sure to be an inspiring conversation, Guibert and the Globant team will help us answer these questions:

Q1: Why do organizations struggle with team collaboration?

Q2: How can AI-driven tools help boost creativity?

Q3: How can leaders use AI-driven tools to boost company culture?

I’ll see you there!

 

Find Guibert Englebienne on Linkedin and Twitter.

 

This podcast was sponsored by Globant.

 

Editor’s note: #WorkTrends podcasts and also our Twitter chats have evolved to better meet your needs! For details, check the new FAQ page. And to see upcoming event topics and guests, check the calendar listing on the #WorkTrends Podcast page.

 

Edward Jenner

#WorkTrends: Transforming the Healthcare Benefits Experience

Now more than ever, employers feel a mandate to take good care of their people. And that responsibility is bigger than how best to empower a remote workforce. It is more complex than deciding the right time to bring them back on-site. Today, how we enable our employees to take care of themselves, and their loved ones, is a front and center issue.

You don’t want to miss a single episode of #WorkTrends… subscribe to the podcast now!

Are we providing the wellness benefits our employees need? Do they have access to the right providers? Is preventative care and testing available? How are employees making the decision on what plan to pick — and who is helping them make those decisions? And what kind of experience do we want our employees to have while choosing the right health plan, and providers, for them?

Healthcare Benefits: A Timely Conversation

This period just before open enrollment is not a great time for employees to be left without answers to these questions. So for this episode of @WorkTrends, I invited Justin Holland, CEO and Founder of Healthjoy, to shed some much-needed light on healthcare benefits.

In speaking with Justin, I learned how much healthcare has changed over the last few decades. I also discovered just how important it is to properly educate and enable employees before asking them to choose health benefits. “It’s really easy to run through an open enrollment presentation and forget about the impact of the decisions being made,” Justin said. “So our goal is to give employees the tools and framework they need to make the right decisions for them.”

Justin also confirmed how I have felt about open enrollment: That having a day or two to make major decisions just isn’t enough. “Open enrollment is obviously a very important time to educate employees on benefits. But there’s 364 other days a year they’re utilizing those benefits,” Justin said. “Our vision is that healthcare education be available at the right place at the right time. Because when a kid is sick at 2:00am and you’re going to the ER, chances are slim you’re going to remember what was said in that open enrollment meeting six months ago.”

Healthcare Education and Empowerment

Justin added: “Healthcare education and empowerment needs to be relevant during those touchpoints. At that moment, we’re all accountable — employee and employer, provider and platform — for the health and wellness of the family.”

During our conversation, Justin and I also talked about the rising cost of healthcare. We discussed how employers can provide healthcare benefits to freelancers and independent contractors. And we touched on how healthcare might look after the COVID-19 crisis is behind us. The timing of our conversation couldn’t be better. After all, chances are good your company is about to start an open enrollment period, or is considering a change to employee benefits for 2021. So please listen in!

Healthjoy sponsored this episode of #WorkTrends℠. And I’m so glad they did. I’m sure you’ll learn a lot from our 20 minutes or so together. I did!

 

Find Justin on Linkedin and Twitter.

 

Editor’s note: Have you heard about how #WorkTrends podcasts and Twitter chats are changing to better meet your needs? For details check the new FAQ page. Also, to see upcoming event topics and guests, check the new calendar listing on the #WorkTrends Podcast page.

 

Photo: Bethany Legg

Why You Should Recruit Introverts — and How

In this extrovert-biased world of ours, the squeaky wheel gets the grease. Many job candidates aren’t making it past the hiring process to get the jobs they’re qualified for. The reality is that if introverts don’t interview in a bubbly, enthusiastic manner, they likely won’t make it to the next round. And if they don’t share their accomplishments with confidence and bravado, they’re likely to be overlooked for positions in which they would thrive. 

The costs to our organizations of this lost talent are staggering to consider. 

Yet, emerging evidence shows that the tide is turning. In a 2019 Workplace Survey of some 240 introverts, a promising 38% of respondents said their organizations demonstrated a willingness to hire and promote introverts. And as general awareness of introversion increases, it may become less of an exclusionary factor. 

Hiring a diverse workforce is just the first step. Companies must also do the work to create places where people of all temperaments feel included and experience a sense of belonging. When introverts can see many different pathways to success and opportunities to thrive, it’s more likely that they’ll stay in an organization and do their best work. 

Consider How Introversion Impacts The Job

In the hiring process, weigh whether personality actually makes a difference for the position. 

Susan Schmitt, group vice president and head of human resources at Applied Materials, says, “The main thing that matters on temperament: Is there any element of this person’s temperament, nature or behavior that will impair them in this particular role or a future role?” 

In essence, how might their temperament work for or against them in that particular role? Susan gave the example of a new hire that appeared to have low energy during the interview process. “She was somewhat slow in her responses, thoughtful and reflective, which led some interviewers to think she may not be right for the role. But her skills, knowledge, experience and education were super strong, and her capacity for complexity and conceptual capability were outstanding.” The team hired her. 

“This hire became a success story, and she ended up becoming a vice president. Had she been dinged for her low-affect personality in that first interview, think of the lost contributions,” remarked Susan. 

To ensure that people with introverted personality types are included and embraced within your organization, make certain that introversion is a key dimension of diversity within your larger talent management strategy. This would establish that an introverted candidate who didn’t come across as the kind of person an interviewer would “like to have a beer with” wouldn’t get shot down for that reason. After all, not every position requires a candidate to be great at after-work socializing, right? Furthermore, if everyone inside an organization knows the introvert-inclusive criteria for hiring and promotion, then they can build a stronger introvert-friendly culture throughout. 

Through hiring greater numbers of introverts and embracing all personality types in our organizations, we may one day reach a critical mass of introverts who are recognized, respected and heard for their wise and understated input.

How Can You Attract Great Introvert Talent?

Here are some ways to ensure that you cast the widest net and seriously consider introverts in all hiring decisions. 

  1. Give them a sense of what it’s like. How do potential recruits view your company? Ryan Jenkins, Millennial and Gen Z expert, says that companies need to manage their YouTube channels and make sure they offer people the experience of seeing what it is like to work for your company. Introverts, who like to research and spend time in reflection, will be looking to social media channels to figure out if they have a connection to your brand. You may never even see those potential introverted hires if you have a sparse online presence. 
  1. Create an introvert-friendly interview process. Integrate these three strategies: first, prep the room. Avoid blazing lights and noisy areas. Consider chair placement; sitting too close together can be off-putting for introverts who value personal space. If it’s a group interview, seat the candidate at the middle of the table rather than at its head, so the candidate feels less scrutinized and can make eye contact with everyone. 

Next, schedule adequate time. If you schedule yourself too tightly between interviews, you may feel pressured and impatient if the person doesn’t respond quickly enough, especially if you are an extrovert. Introverted candidates are likely to pause before answering questions, and you want to provide them with the time they need to fully express themselves. 

And finally, attend to energy levels. One hiring manager said that she noticed her more introverted candidates were “not the same people at the end of the day. They deflated without a chance for breaks with back-to-back interviews.” To avoid overwhelming the candidate, only put people on the interviewing schedules who are essential to the process. Consider breaking a packed interview schedule into two days. 

  1. Check your bias at the door. If you’re more extroverted, beware of projecting your bias about introverts onto the candidate by wishing they showed more emotion or visible energy. If you’re an introvert, you’re more likely comfortable with a slower pace and pauses, and the possible self-effacing manner of an introverted interviewee. Check yourself for confirmation bias — that is, the tendency to seek answers that support your case and point of view while minimizing other important responses. Diversify your pool of candidates by being open to everyone. 
  1. Employ paraphrasing. Reflecting back what you heard gives candidates a chance to modify or validate what they said. It also offers a needed pause for introverts so they can process what’s being said in a reflective way. Both introverts and extroverts will appreciate the chance to clarify their thoughts and round out their responses.
  1. Use AI tools (with caution). Using artificial intelligence screening is receiving more attention as one solution to reducing the costs of hiring and to promote more diversity. AI can allow you to cast a wider net and includes those with introverted temperaments who might not be considered in the initial screening process. Digital interviews record verbal and nonverbal cues of candidates and analyze them against position criteria. But many experts suggest using a slower approach rather than a full-scale adoption of these tools at this stage, as they can bear unintentional biases. 

To capture introvert talent, think beyond hiring (and promoting) for personality. It starts with checking your own temperament bias and valuing introverts in your talent management process. 

 

Photo: Berkeley Communications

The Contact Center Evolution Will be Remote

The pandemic has thrown nearly every industry into a state of rapid-fire transformation, and that includes contact centers. Chances are, nearly everyone reading this has reached a contact center and talked to an agent; during the pandemic, agents have become a direct and human — and welcome — point of contact. And if you’re an employee at a contact center, you’re likely experiencing a whole different way of working right now, on the virtual front lines, in some cases, and I have to say this directly: thank you for being there.  

Nearly overnight, as we launched into lockdown and work-from-home orders, the on-site call center had to be replaced by remote locations with agents and managers working from their homes. Given the high-touch, fast-moving, highly managed nature of call center work, would such a shift be successful? Given the traditional model of a call center workspace, would it work for agents to operate from home? 

According to a new report by Calabrio in collaboration with Ravel Research, the answer to both questions is yes. The just-released study surveyed contact center managers from a broad range of industries, in both the U.S and U.K., to find out what major changes the pandemic has caused for contact centers. Among the factors investigated: how the pandemic has created changing customer expectations, how it changes the dynamic of employee management, how viable remote working is for contact centers, and how business intelligence plays a role in customer-centricity, innovation and operations. 

Such are the issues we all need to focus on as we collectively make the leap from the way we used to work to the way we work now — and beyond. And the study found that overall, the shift to remote working has been good — it’s had a positive impact on engagement, performance and results among agents, as managers note. What’s so compelling to me is that this new, transformed landscape wasn’t hard to navigate at all. In fact, it’s made the job easier and the experience better for call center agents and managers in no less than five key areas:

 1. Remote Improves Performance and Satisfaction

It’s worth noting that pre-pandemic, some contact centers already had a remote component: 36% of contact centers had at least half of their employees working remotely. But with the onset of the pandemic, that number soared, with 89% of contact centers having at least 50% of their employees working remotely. While the shift was triggered by necessity, there has been a groundswell of approval on the part of agents. Necessity triggered the shift, but once agents settle into their remote roles, what’s clear is that many see it as an advantage. Call center managers believe 72% of agents are happy working remotely. 

As far as the positive impact on productivity, again, the numbers are in remote’s favor: 73% of managers surveyed express satisfaction with the productivity of employees now working remotely, and 85% are satisfied with employee productivity on account of flexible hours. Moreover, this is not just a passing fad: the adjustment is expected to stick. Citing remote’s benefits for employee satisfaction, service flexibility, and overall employee performance, 72% of managers say a remote environment is likely to continue in the long-term. It’s a clear sign that to many in this workforce, the changes were not only welcome, they may have been overdue. That’s a relief considering that across the country, reopening plans aren’t exactly going as, well, planned. We may have to shutter those back-to-the-workplace goals in favor of maintaining remote arrangements for everyone’s safety. The good news is that in terms of contact centers, that should not have a negative impact on how well agents are doing, or how they feel about their jobs.

2. An Emphasis on New Skills 

For countless employees, shifting to remote (as well as to flexible schedules) has also shifted the emphasis to new skills; the same is true for contact center agents. Managers in the study report that 49% of their employees are better at self-management, 42% have improved their problem-solving abilities, and 42% are better at both technology set-up and security awareness. 

Being a contact center agent has always required excellent soft skills — ask an agent what he or she thinks and I’d bet the answer is that these are hard-won, carefully developed, and endlessly practiced; they’re not really “soft” at all. But now add these three critical skills to the toolbox of abilities — soft or not — that call center agents need, such as clear communication, empathy, patience, attention to detail, and the ability to maintain a positive attitude, and you have the new paradigm for recruiting. It’s not just about being able to ‘give good phone,’ as they used to say, but now also about being able to stay on track no matter where an agent is working from. And again, this reflects the overall trend in remote working: we’re all learning how to balance, integrate, and think on our feet in a new context. The difference is that we don’t always have a customer on the other line, with urgency, possibly stress, and an increased need for our empathy, responsiveness and great service. 

 3. Evolved Training and Coaching

The Calabrio/Ravel survey also reveals that while training and coaching have been able to continue without too much interruption, there will be a greater need to develop new methods and leverage the shift to a virtual workspace. As their top three training resources, managers name video calls and web conferencing (53%); live online training classes (44%); and recorded online training classes (35%). More than half of managers anticipate that moving forward, they will inevitably be able to do less in-person, one-on-one training. 

From a talent development perspective, this is an immense possibility — to harness the remote environment to bring new modes of training and coaching to contact center hires. Virtual Reality could provide new hires with an experiential and impactful way to learn. Digital resources, such as mock scenarios that reflect larger social and behavioral changes, and other “walk in their shoes” approaches may help to mitigate concerns such as unconscious bias or help raise the threshold in terms of patience. By carefully crafting these to begin with, employees have a holistic but modern tool at their disposal. Another option: on-demand and self-service modules, speaking to people’s need for greater flexibility.  

4. Quality Evaluations and Predictive Analytics

Working in a vacuum is a common lament for remote employees. But there are certainly ways to counteract that sense of isolation — and an opportunity to increase feedback and coaching with digital tools. To improve brand impact and with a sense of increased customer urgency (a byproduct of life during a pandemic), managers have ramped up evaluations. According to the study: 1 in 3 contact centers have increased the number of quality evaluations of customer interactions. And while it’s true that evaluations can be a thorn in a manager’s side if done entirely manually, in this case managers are getting smart, leveraging digital tools to ease the heavier load. 44% of managers are using predictive analytics and/or automated quality monitoring. These tools are boosting their effectiveness when it comes to agent coaching, speeding up the process and promoting responsiveness in real time. Being able to spot key trends for the full 100% of interactions means that manual evaluations can be far more targeted. And managers are freed from the traditional reliance of “walking the floor” in favor of a smoother and more fluid agent development process.  

Is this the wave of the future? Managers’ responses on this may be an indication: only 30% think quality evaluations will be the same as they were before and 27% believe they will be doing more evaluations. Yet clearly, some are more forward-thinking than others: 20% believe they will be seeing more automated quality monitoring, and 19% say they will be using more analytics. What this speaks to, from my perspective, is that these tools are on the horizon for some, and already in use for others. And instead of seeing tools like automation or predictive analytics as a norm, managers may see it as a stopgap, envisioning a point when things get “back to normal,” and they can go back to how they conducted evaluations before. That may indicate a gap in perception: these are the same managers who believe remote contact centers will continue into the future; and sentiment around predictive analytics and automation will likely grow. We’ll see how this plays out.

5. New Technologies Offer New Opportunities

The new technologies coming to contact centers are having a profound impact on employee as well as manager experience, and offering new opportunities for support as well as growth. The old adage: If you build it, they will come, applies to a call center — and as we’ve seen as we pivot to remote, instead of agents and managers coming to a physical workspace, now remote innovations are coming to them. The survey asked its respondents: How have your contact center’s investments changed in the following areas, because of the pandemic? Not surprisingly, the biggest investments are in remote working solutions (65%); video conferencing tools (62%); and then, expanded channels for customer communication (52%). All are helping to modernize the manager and agent experience. And it may or may not be a kind of workplace irony to have a human call agent aided by a chatbot or virtual assistance, but these are not as high on the list. 

What is markedly on the rise is business intelligence (BI). A full 90% of respondents say they are maintaining or increasing their investment in BI solutions. And contact managers expect a higher demand for contact analytics to come from every department. We’re going to see call centers increasingly rely on data and more accurate reporting to better assess performance and set strategy — yet another sign that digital tools are leading the evolution. For a remote workforce, BI knits together people, interactions and operations in real time, allowing for a far greater sense of the big picture, elevated flexibility when it comes to key questions asked, and an increased sense of connection between individual effort and overall results.

None of these developments are going to take the place of human connection, however. The rationale behind grabbing the brass ring of better and better technologies is as a means to improve the interactions between agents and customers — by enabling agents to better do their job, from training to maintaining their performance. That includes the interactive dashboards being used by some call centers to provide agents with real-time data on how they’re doing. Designed to answer the questions an individual agent might ask, these provide a graphic as well as numeric scoreboard they can continue to monitor to track their own improvements. 

Self-accountability and a sense of personal stake in excellence may turn out to be our best asset of all. For agents and managers in call centers, these traits are clearly driving the evolution as much as any external forces — and pointing to an overall growth in workplace culture we may not have expected, but as the Calabrio/Ravel survey shows, it’s happening right now.

To find out more, download the study.

This post is sponsored by Calabrio.

Photo: Josh Calabrese

Empathy, Action: What HR Can Do Now

Recently I published an article on Forbes.com about the elephant in the room. It was one of those pieces I had to do. I had to go out on a limb and just say it

We talk about diversity all the time — and on TalentCulture we’ve published many articles on improving diversity and inclusion. One offered seven tips on “managing diversity” in the workplace, and included wisdom from people working on the front lines of diversity, including diversity and inclusion consultant and author La’Wana Harris and Amy Cappellanti-Wolf, CHRO at Symantec. The post listed ways to improve more than manage, including building pipelines to more diverse talent, and letting go of seeing diversity not as a state of being but a buzzword. The step that struck me the most was examining policies to root out systemic inequality. As Harris noted, “Workplace policies, systems and processes can disproportionately impact historically marginalized populations.”

Of course, she’s right. But what strikes me now is that she didn’t put it in the past tense then, and it wouldn’t be in the past tense now. Between that post and the article on Forbes is the better part of a year, and a lot has happened to say the least. We’ve witnessed the murder of African-Americans at the hands of police and learned of one in which she was killed in her house, in her bed, and by mistake. You don’t usually see me get into these kinds of details, but the circumstances are so shocking I think they bear repeating, and repeating again. And we’ve seen — and millions have participated in — some 21 days and counting of protests spurred by outrage. 

AI and VR: Tools for Fairness

The one piece of good news is that we are being forced to reckon with that elephant. And the elephant for everyone in HR is this: we can’t improve diversity with any kind of commitment and intent if we don’t first address racism. And by addressing racism, I mean working as hard as we can to undo it in our own workplaces. It means looking hard at what we produce and offer, and asking whether it’s helping or not. IBM recently put the brakes on its facial recognition program. As CEO Arvind Krishna said, “We believe now is the time to begin a national dialogue on whether and how facial recognition technology should be employed by domestic law enforcement agencies.” He went on to note that AI systems need to be subject to far more scrutiny regarding bias. And that’s something that’s come up again and again, in a hiring context, on this site.

Is that where we start? We actively celebrate technology on TalentCulture: we just wrapped the HR Tech Awards for 2020, and among the many innovations there’s certainly AI. Another innovation that came up recently is VR, and I had a fascinating discussion on a recent #WorkTrends with clinical psychologist Robin Rosenberg about how VR can help radically improve empathy among diverse work teams. The podcast focused not just on diversity but on work culture as a whole — but it’s the potential to decrease unconscious bias, microaggressions and intolerance that stays with me. If we can put on a headset and literally experience what that feels like to someone else, maybe it should be part of everyone’s training — make it a required component of onboarding or skill development.  

Undoing the Status Quo

Do I expect my clarion call on Forbes to have an affect? Perhaps it will. Sometimes a post goes viral for reasons completely beyond our control, as when I talked about emotional intelligence and leadership just when EQ was getting on our radar, or more recently, when I predicted the key trends we’d see in 2020. (I’m lucky to have great readers, and grateful.) In the trends article, I mentioned a shift to tending rather than managing our workforce, advocated for leaning harder on AI for recruiting so long as it was programmed without bias, and pointed out that more of us would be working remotely. But that was written well before the pandemic threw up all into a tailspin, or survival mode, or just home, before the nation exploded, and before it became clear that we tend to stay entrenched in our own status quo. 

But we can’t accept the status quo anymore, and this is the opportunity to snap out of it. I wasn’t surprised when 63% of respondents to our June 3 newsletter survey said they’d experienced racism in the workplace either directed at themselves (39.7%) or a coworker (23.8%). But I was shocked to find out that less than 5% had reported it. HR, I’m looking at you.

HR Has a Role to Play

So let’s have real conversations about the bias that may be stuck within our work cultures (conscious or unconscious). Let’s push back against complacency or just inertia when it comes to examining and improving workplace policies. Let’s keep asking the hard questions — we just ran a follow-up survey question this week, asking who is now having discussions about racism among their coworkers. I’m very interested in those results. I’d like to challenge the top innovators to find the best means to systematically detach AI from potential bias. I’d like to know who’s reviewing accounts of unfair treatment in their workplace, and having a new reckoning to set things right. 

In the end, every business will be better and more sustainable in the future if it works to be more equitable, diverse, and fair in the present. Knowledge is power, as we well know. And HR is a field that wants to evolve — and indeed, it can’t stop evolving. We’re made for this. So let’s get to it.

Photo: Andy Kelly

#WorkTrends: The AI-Powered Leadership Coach

If there’s a silver lining to this global pandemic, it may be that we’re all getting a lot more familiar with AI, data and AI-driven analysis. When researchers and policy makers explain the forecasting changes based on a constant influx of new data, we get it. We even have our own favorite go-tos: Poynter, NYT, and Muck Rack among them. 

So when Meghan M. Biro and WorkTrends’ guest Kevin Kruse sat down to talk about the future of work and life, they both touched on the universal sense — at least within HR — that our predictions about leaning on digital tools in the near future are coming true in a way we never could have anticipated. Kevin is the founder and CEO of LEADx — which created the digital leadership tool, Coach Amanda. He’s also passionate about how innovation can improve work cultures. 

Discussing how he saw AI’s potential as a coaching tool, he told Meghan, “I’ve been writing some articles just like everybody around — top tips for leading remote teams … the same tips for leading the teams if they were in the office. It’s just more important than ever before, you know, having a cadence of communication, having authentic leadership, caring about your people.” In other words, it may be a machine, but it has to take a human approach.

Meghan asked him whether or not he thought AI coaches could replace humans. In some cases, Kevin noted, they’re providing coaching for organizations that don’t have the resources or the bandwidth to provide human trainers. But in other cases, they’re a tool that works right alongside — adding value to the leadership already happening. What AI-driven digital leadership coaching provides is a whole platform that covers a lot of bases, including starting someone on their own leadership coaching journey. Coach Amanda is virtually human and an “accountability buddy,” added Kruse, giving others access to the tools they need to become natural leaders themselves.

Listen to the full conversation and see our questions for the upcoming #WorkTrends Twitter Chat. And don’t forget to subscribe, so you don’t miss an episode. 

Twitter Chat Questions

Q1: Why do many organizations struggle with leadership coaching? #WorkTrends
Q2: How can AI tools help develop leaders? #WorkTrends
Q3: What can leaders do to help organizations develop better leadership coaching? #WorkTrends

Find Kevin Kruse on Linkedin and Twitter

Photo: Omar Flores

#WorkTrends: AI, VR, and the Internal Communication Revolution

We’re all suffering from both information overload and information under-load right now. As companies struggle to communicate with their employees and navigate a global health crisis, one thing is crystal clear: communication is rarely as clear and effective as we’d like it to be. In today’s workplace, it’s a challenge we need to overcome yesterday — even in the best of circumstances. But given what’s unfolding, it’s more critical than ever – and could even mean the difference between putting employees at-risk and keeping them safe. 

Meghan M. Biro brought internal communication expert Shel Holtz to #WorkTrends to talk about how to do it better. Shel has been involved in internal communication for decades — and recalled how he’d thought he’d invented the intranet for a moment back in the 90s. But fact is, he’s a pioneer who helps many organizations understand that communication is a whole new ball game now (one that’s not canceled). While countless organizations threw everything into their intranet, that was then. We don’t process or seek information the way we used to — and companies should take a lesson from media outlets.

As Shel said, “The intranet emerged during a day when people were surfing the web and it was new and interesting and fun. But these days people tend to be very task-oriented sitting down at a web page. Otherwise, they’re reading and engaging on their phones. You have to meet people where they are. If you think about the major media outlets… they have their website, but also the app, and a podcast, and they’re tweeting and letting people on Facebook know about the articles they’ve read. We have to adopt this kind of consumer-grade mentality around getting content out to people.”

That also means using technology to better communicate — AI helps drive talk-to-text and transcription apps, powers chatbots, and more. But it can also reveal trends and issues we may miss. Shel recalled a company diversity initiative involving internal referrals that wasn’t getting any traction among employees whatsoever. No one could figure out why. An AI tool was able to find the reason by sifting through all the discussions and emails — and the organization was able to course-correct, clarify, and make the program successful. 

Meghan pointed out that the key to assuring that AI doesn’t cause unease among employees is being upfront about it all. “If we’re being truthful, and transparent with our employees, they are going to appreciate this, and be more likely to adopt and adjust.” We all want a way to do our work better — and that includes how we communicate. But in the end, we can’t be operating behind a curtain, no matter what tools we use. It’s not just how we say it – or being “tool-centric,” as Shel added. It’s about what we say.

Listen to the full conversation and see our questions for the upcoming #WorkTrends Twitter Chat. And don’t forget to subscribe, so you don’t miss an episode. 

Twitter Chat Questions

Q1: Why do many brands struggle with internal communication?  #WorkTrends
Q2: What strategies can improve our strategic communication? #WorkTrends
Q3: What can leaders do to help organizations improve internal communication? #WorkTrends

Find Shel Holtz on Linkedin and Twitter

 

The Age of the Super-Recruiter

An Interview with Sanjoe Jose, CEO and Cofounder of Talview

The challenges in hiring span from finding the right talent to finding the technology to help make successful hires. And we’ve seen an incredibly fast-paced phase of innovation in the field. At the forefront are leaders like Sanjoe Tom Jose, cofounder and CEO of Talview.

Sanjoe is passionate about making hiring easier with cutting-edge AI and machine learning-based technologies. He’s also likely one of the rare innovators who turned down an offer from Google to strike out on his own. Instead, he built Talview — which stands for ‘talent view.’ The firm’s Instahiring Experience platform is the first to bring the one-click consumer experience to a hiring context, radically shortening an organization’s time-to-hire. 

We talked about how AI can be leveraged to transform the whole hiring journey, about his thoughts on the market, and why certain hiring teams are AI-averse — despite the fact that given today’s talent race, recruiting needs, and deserves, a real shot in the arm.

What market problems are you trying to solve?

In speaking with our customers, hiring lag or a long hiring process is their biggest challenge. Businesses always need talent as soon as possible. But hiring lag also impacts other key hiring metrics — such as Quality of Hire, since the best candidates are only available in the market for ten days. This is especially critical in the gig economy, where companies can’t spend 2 months to hire someone who might only be employed for 6-12 months. Long hiring processes and not being able to provide remote functions also impact the Candidate Experience: 57% of candidates drop out of the hiring funnel due to a long hiring process. Companies also need a way to showcase their culture, values, and expectations to candidates before they’re hired, as it will help new hires ramp up quicker.

In your view, how is the candidate experience broken?

The back-and-forth process between employer and employee can easily become slow and confusing due to the time it takes to screen and select the best resumes, contact the candidate, arrange an interview time that suits both parties, and organize for someone to conduct

the interview. It’s not just a lack of speed that’s hurting businesses’ hiring process, either. The quality of the candidate’s experience as they go through the different stages of the funnel is also suffering at the hands of inefficient and aging recruitment practices. Job applicants are often forced to take off work to make multiple trips to attend interviews in person, and once they’re in the final stages, an offer can take weeks. A poor candidate experience also means applicants drop out of the funnel, and they’re less likely to reapply to the same company in the future.

Let’s talk a bit about solutions. How can technology fix some of these problems? 

In our own firm, we base solutions on three propellers: Remote, Automate, and Reuse. Generally, organizations need to be able to complete screening assessments and interviews online — they should not have to rely on physical face to face, especially if the best talent is remote. This can be done through live and recorded modes, saving candidates as well as recruiters immense time while both parties are still deciding if there’s a good fit.

And there are so many routine recruitment processes that are still completed by humans when they could be automated, such as screening resumes and scheduling interviews. Automating these processes frees up recruiters ’so they can spend time on far more value-adding activities,such as conducting final-stage interviews. And automation should be able to function round the clock, so candidates don’t have to wait to hear back from recruiters, and their questions can be answered immediately by a chatbot. 

Finally, recruiters and candidates as well need a way of streamlining the process when this is a repeat applicant. That means recording all application and interview data — so it’s available to reuse when a candidate reapplies to work for the same organization, and they can be fast-forwarded to the relevant stage. There’s no reason they should have to go through those assessments and interviews they already completed when they applied previously. Reuse just makes it easier.

How do you leverage AI and machine learning in your platform? What phases are you using AI and ML for in terms of the hiring journey? Is it end to end?

Yes — we’ve leveraged AI and ML to automate and drive more insights — all the way from the top of the hiring funnel right through to the moment of hire. From the start of the process, these technologies are used to screen resumes, derive additional insights from interviews and expertly match candidates to their ideal roles. As the candidate goes through each step from the location of their choice, computer vision is leveraged to authenticate their identity and administer multiple variety of skill based assessments. During the interview process, the technology assists hiring managers in conducting an objective interview — by building a behavioral profile of the candidate that leverages speech recognition and natural language processing, and giving suggestions as to areas hiring managers should probe from a non-technical skills standpoint. With companies struggling to assess soft skills accurately, these kinds of behavioral reports help companies hone in on communication, interpersonal, and leadership skills.

Do you think organizations can benefit more from recruiting platforms that are all-in-one inclusive?  

I do. While there are many pinpointed solutions that impact one or two steps in the hiring process, disparate systems can pose problems for enterprises, such as time-consuming, inefficient data entry and reconciliation processes. It’s more effective to have a seamless experience. Inefficiencies can lead to user dissatisfaction for all parties involved. And while some organizations do try to integrate disparate systems themselves, the performance is far from optimal and adds major overhead. We wanted to be enable the true digitization of hiring, and provide a platform that could be integrated with any of the leading Applicant Tracking Systems. I think that’s the kind of solution both sides want — the candidates as well as the hiring teams.  

My last question: What would you say to companies that are reluctant to shift to AI and machine learning for recruiting and hiring?

AI offers significant benefits while applied in the recruiting process, and hence is bound to become a significant part of every organization’s recruiting strategy sooner or later. AI can be leveraged to automate a lot of mundane tasks recruiters today perform — like matching a resume to the job description and scheduling of an interview. It enables recruitment teams to become true strategists and candidate experience champions, and ensure the best candidates join their organizations. It would be wiser for teams to leverage the benefits of AI and become super-recruiters than to get left behind.

To learn more about Talview, visit Talview.com.

The Role of Artificial Intelligence in the Hiring Process

As artificial intelligence evolves, we’re going to increasingly rely on it for boosting the hiring process. In Life 3.0: Being Human in the Age of Artificial Intelligence, author Max Tegmark asserts that the “rise of AI has the potential to transform our future more than any other technology.” So it is, as we already see in hiring. AI is already saving HR teams time and money while attracting the best candidates in these key ways:

Solving the Sourcing Process

A recent study found that 46 percent of companies struggle with finding and attracting the right candidates for their open positions. AI programs can search online resumes and social profiles to find the best candidates for each job based on specific traits. They can also relay personalized messages to promising candidates and do it in scale — something human recruiters could not do alone. 

AI is being taught to overcome human biases during sourcing and screening. The key is teaching the program on data that presents as gender-neutral and training it to ignore other identifying information that might trigger biased decisions. An organization may end up with a pool of applicants far more diverse than if the HR team itself had sourced them.

Enhancing Employee Experience

Once your AI program sources and contacts candidates, AI can lead them through the recruiting funnel quickly and efficiently, ensuring the candidate experience goes smoothly.  Recruiter chatbots can provide real-time answers to candidate questions, offer quick feedback and suggest next steps. They can provide links to promising job descriptions, clarify company hours and location, and schedule interviews. 

Having a good experience during this phrase is a big deal, as is borne out in a study by CareerBuilder: 58 percent of candidates are likely to have a negative opinion of a company if they never get a response to their job application.67 percent are likely to have a favorable view of the company if they get frequent updates after they applied. Instead of dead air, a chatbot fills the space — and furthers the process.

Screening Boosts

AI-powered conversational tools can also give the screening process a boost. Since these tools are always learning, they’re ideal for when going back for a second look at candidates who applied in the past. AI tools can store essential data on all applicants, saving time and effort when you’re ready to reach out to them again. Companies that use AI tools have reduced their cost per screening by 75 percent.

Using technology to screen talent also saves time and effort for candidates. When CVS Health began using the Virtual Job Tryout assessment, it was looking for an automated screening tool to shortlist candidates quickly. The company processes over one million applicants per year: saving time on the hiring process is critical to the recruiting team. 

By offering job simulation inside hiring platforms, CVS enabled  candidates to virtually try out some of the tasks in a potential position. Depending on their performance, they might be invited  go proceed to the next step in the recruiting process. Or they might decide the position wasn’t a good fit, saving themselves and the company time. CVS Health found this tool screened out half a million applicants right away, saving 40 years of hiring manager time.  The tool also brought a measurable improvement in performance, training, new hire retention, and operational outcomes.

Assistance with Interviewing

AI in HR provides a simple way not only to reach out to possible candidates, but also screen, rank, and shortlist their resumes based on the traits most relevant to your company. Then, once you have a list of people you’d like to interview, the chatbot can act as the scheduler.

Certain AI tools can also help you conduct a later-stage virtual interview before inviting a candidate to come in person. Conducting a video interview with preset questions, you can run an AI program to analyze candidates’ facial expressions, tone of voice, mannerisms, and word choice. 

This technology will make it more likely you’ll end up with new employees who fit your company culture, which is why major brands like Google, Facebook, and Apple have been using this technology for years. And now even more companies use it, including Capital One, Allstate, ThredUp, Hilton, and AT&T. 

Onboarding

AI is also improving onboarding procedures — by, for instance, automating repetitive or tedious tasks like conducting background checks, putting together documents about benefits, and creating offer letter templates. AI can also help organize, print, and deliver all onboarding paperwork. 

The same can be said of training documents — another time-consuming step when the HR team has to do it manually. Instead, AI-powered tools can ensure all new employees receive copies of the paperwork that spells out company policies and log-in information.They can track when documents have been read, prompt an electronic signature, and schedule meetings to go over the information further when necessary. 

And all can happen 24/7 from anywhere, which means employees can start training or getting answers to their questions any time and from any device. It also allows the HR department to focus on tasks that cannot be automated or done outside of business hours. 

Why Use AI in HR?

From sourcing and screening candidates to interviewing and onboarding, AI is undeniably changing HR’s capabilities. A report from Deloitte in 2017 notes that 38 percent of survey respondents believed AI would be widely used at their company within three to five years. In 2018, that number rose to 42 percent,. It’s still climbing.  

72 percent of executives believe AI will offer significant business advantages in the coming years, while a LinkedIn study found that 76 percent of hiring managers believe AI will be at least somewhat important in the future. As Eric Sydell, EVP of Innovation at Modern Hire, summed it up, “AI is a perfect way to recruit the best talent that will excel at your company, as it uses huge volumes of data to predict outcomes better than any person can. Not only does AI save HR departments time, but it also gives candidates some insight into whether they even want the job.” 

 

 

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How AI Is Making the Employee Experience Better Than Ever

If you’re in HR, you’ve undoubtedly heard two buzzwords as much or more than any others in the past few years: AI and employee experience.

They’re topics we often link to automation — after all, the employee experience is a lot better when you’re freed from tedious, repetitive processes. But AI is actually improving the employee experience in other ways that are often overlooked.

We spoke with two leading AI experts about a few ways AI is making the employee experience better than ever.

AI Is Expanding Voice-Controlled Interfaces

Let’s consider employee experience for a moment. A large part of the focus centers on creating a more “consumerized” approach to the relationship between employee and employer — essentially to treat the employee like a customer. Employees are also looking to bring their most authentic selves to work. The days of being a different person at home and at the office are over.

In order to bridge this gap between our professional and public selves, organizations have begun to think about the way employees use technology, mirroring the way we use it at home. Many of us are used to talking to Siri or Alexa, and organizations are in the process of embracing voice-powered AI to create a better employee experience. “This is becoming very mainstream,” says Emily He, senior vice president of marketing, human capital management, at Oracle. “People want to use a conversational style to engage with their application.”

In terms of automation, voice interfaces will provide the same convenience they do for us when we want to hear “Despacito” — except that now employees can use voice to assist with tasks that have a bit more import. For example, “Expense reports approval is a really cumbersome process,” He says. “Now, with the AI app, I can say, ‘Approve all expense reports below a certain amount.’ ”

AI Is Driving Internal Talent Mobility

Jeanne Meister is the founder of Future Workplace, an HR research and advisory firm that offers a popular course, AI 4 HR. She says that AI will be a massive boon for internal talent mobility. “Companies are doing everything they can to keep the people they have,” she says.

Meister says organizations have begun to have employees create what is essentially an internal LinkedIn profile. In these profiles, employees can share personal information, credentials and other relevant information that allows AI to match them with potential promotions. “Sometimes it’s jobs that the individual may not have thought about themselves,” she says. “This gives the employee working inside the company the opportunity to understand how their skills plus their aspirations can lead to a new internal position.”

And if an employee isn’t quite ready for a new position? The AI has the ability to recommend courses and training programs, bringing a more personalized form of talent development to the employee experience, Meister says.

AI Is Streamlining and Improving the Hiring Process

It’s important to remember that the employee experience always begins with the candidate experience.

Many organizations have begun to use chatbots as part of recruiting, and they’re beginning to see results. Both He and Meister point to Hilton’s success in this area. The hotel chain began using chatbots in 2015, and the program has shown marked results, Meister says. “They have increased their net promoter score for the candidate experience to 80%” — and also increased the diversity of the talent pool, she says.

Most impressive, though, is how chatbots have sped up Hilton’s recruiting process, she says. “Their recruiters are offering 85 more jobs per week than they were previously,” Meister says.

To learn more about AI and how it’s powering modern HR organizations, check out our AI for HR guide.