For a lot of reasons, 2016 has been a contentious year. One development that’s less controversial, however, are all of the promising trends that are evolving in the world of HR. With Thanksgiving fast approaching, here are four of the hiring trends we’re most thankful for this year:
For some time, just about every industry was raving about the potential of Big Data – the process of analyzing enormous data sets to discover patterns and trends that can then be used to guide business decisions. In the world of HR, the discourse on Big Data became so prevalent that the term started to be used as a catch-all description for any type of predictive analytics in the hiring process. But long before the concept of “Big Data” took off, companies who favored data-driven, evidence-based hiring methodologies were using pre-employment tests to gather information on prospective employees. And while pre-employment testing may be an older, more established way of gathering data on job candidates, it differs in several critical ways (both ethical and practical) from Big Data.
The wage gap between men and women is well-documented, and there’s much debate about the reasons behind the oft-cited statistic that women are paid 77 cents for every dollar earned by men. One common explanation for the wage gap is that it is, at least in part, affected by the types of jobs and industries that men and women choose for their careers. So we decided to dig into our own data to find out what jobs men and women were actually applying to the most.
Last summer we reacted to an interview with Laszlo Bock at Google who seemed to say that tests scores and grades were useless predictors for hiring decisions. We said that what constitutes information for hiring purposes at Google may well differ from what constitutes information for hiring elsewhere, and we pointed out that validating a selection tool after it has been used, and only for those who were selected will typically yield lower estimates of the usefulness of that tool.