Don’t make the mistake of forgetting about prior applicants when looking to fill a new position. Learn how to rediscover candidates that might be a fit.
How can technology help reduce your bias in recruiting? Take a look!
A new Deloitte survey finds companies’ interest in diversity in the workplace is focused on bias in recruiting and the use of new tools to reduce this bias. 68% of companies they surveyed measure and monitor diversity and inclusion in their recruiting. The appeal of diversity in the workplace is recognized by both sides of the recruiting equation. A Glassdoor survey found 67% of job seekers believe diversity is an important factor when considering companies and job offers, whereas 57% of recruiters say their talent acquisition strategies are designed to attract diverse candidates. To help you capture this competitive advantage, here are
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The “hiring is broken” reputation is a hard one for recruiters to shake and the hiring process is only predicted to become even harder this year. To help you maintain your recruiting sanity, I’ve compiled a list of 6 fixes to improve your hiring process summarized in an infographic below. Attract more candidates by promoting your employer brand A LinkedIn survey found the #1 obstacle for job seekers changing jobs is “not knowing what it’s really like to work at the company.”This uncertainty is a big reason why recruitment marketing has become so popular. As a central part of recruitment marketing, your employer
A major feature of AI for recruiting is its ability to stop unconscious bias. A recent lawsuit reminds us why we need to avoid bias during hiring: Palantir, a software startup, is paying $1.7 million to settle a racial discrimination lawsuit with the Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP). Similar to EEOC guidelines, as a federal government contractor, Palantir cannot discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability or against military veterans. The Department of Labor accused Palantir of disproportionately eliminating qualified Asian applicants for engineering positions. The lawsuit alleges Asian applicants were routinely
The growing need for recruitment automation tools has fueled the recent popularity in AI for recruiting. With hiring volume predicted to increase next year but recruiting teams remaining the same size or shrinking, interest in recruitment automation will only get stronger. In 2017, finding top talent will depend on a recruiter’s ability to intelligently automate their workflow. Recruiting teams are also facing increased pressure to demonstrate data-based KPIs. Talent acquisition leaders are increasingly measuring their recruiting teams by quality of hire in addition to time to fill. According to LinkedIn’s data, the most important recruiting KPIs are: Quality of hire is the top priority
Interest in artificial intelligence (AI) recruiting technology has exploded recently. From finance to sales departments, business leaders are asking how they can leverage AI technology to become more efficient, cost-effective, and competitive. HR is no exception. To stay on top of this trend, here are seven recruiting AI terms that every recruiter needs to know. Artificial intelligence Artificial intelligence (AI) is a machine that can mimic human abilities such as learning, problem- solving, planning, perception, and the ability to move objects. In a nutshell, AI requires large amounts of data as inputs to produce an output which is a solution to
