Find your Best-Fit Talent with Non-Directional Data

These sessions are part of our series Reimagining People Data to Build a Workforce for the Future.

For HR leaders today, it’s clear now more than ever that what’s worked in the past won’t work for the future of acquiring and managing talent. Jobs and skills in demand are changing rapidly and relying on past experience is no longer the best predictor of future success. Hiring diverse talent becomes more urgent everyday and traditional ways of screening and assessing candidates include significant bias.

This series is meant to help you learn more about the data you need and how to harness it to build and maintain your best workforce.

In this session, Dr. Justin Hess, Senior IO Psychologist at pymetrics, will explain differences between directional and non-directional data, including all of the information you're leaving on the table if you rely on directional data. Learn how non-directional data can help you better understand your candidates in a holistic way, instead of looking for "right" and "wrong" traits, to find the best-fit talent for the specific role at your organization.

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