HR Metrics & Analytics

Use cross-pollination to bring proven tools like biometrics into recruiting You probably don’t know it, but most of your recruiting messaging and marketing goes unread, and what is viewed actually has little measurable impact on attracting prospects. If you don’t believe that this is true at your firm, realize that …

Don’t Be Left Behind… As HR Shifts To A Data-Driven, High Business Impact Approach from Dr John Sullivan

A comprehensive list of current and future predictive talent metrics The use of predictive analytics is a hot issue and a developing trend in talent management. But unfortunately as a longtime thought leader in the area, most of the current prediction efforts are extremely shallow. And as a result, they …

I frequently get asked the question “What is the one thing that recruiting functions should be systematically doing, but for some unexplained reason, it doesn’t do it?” Well, one quick answer to that question is “to project the career trajectory of potential hires.” Which simply means to assess whether a …

Published at ATC Hub February 4, 2014 Whether you work in Australia, the USA or Europe, the hottest topic relating to how the Talent Management function operates is how to shift to a “metric based” decision-making model using advanced and predictive analytics (Note: the #2 topic is often making all …

When you survey the most frequent users of analytics and metrics in the corporate world, not surprisingly you find that HR ranks at the very bottom. Compared to finance, which is ranked No. 1, HR compares poorly with only half of its functions being classified as advanced users and three …

I work in the Silicon Valley, where we have a long-established mantra of “faster, cheaper and better.” But now no matter where you work in the world, almost everyone can sense the fact that every aspect of global business now seems to move significantly faster than it did even 10 …

by Trena Luong and Dr. John Sullivan This is the final part of a two-part research-based series that is designed to reveal and describe the four categories of factors that restrict the recruiting of STEM women (i.e. women with degrees in Science, Technology, Engineering, or Math) into high-tech firms. In part one we highlighted …

by  Trena Luong and Dr. John Sullivan We are deeply disturbed at the “there’s little we can do” attitude of the leadership at most major tech firms towards increasing the number of STEM (i.e. Science, Technology, Engineering, Math) women recruited into their firms. The leaders of these firms seem to think that their …

by Trena Luong and Dr John Sullivan There has been a great deal of publicity lately surrounding the lack of STEM women at high-tech firms. Unfortunately, we have to give two thumbs down to the diversity data from each of the top high-tech firms that have publicly released their numbers. …