HR Tech 2021 Series – Recruiting Metrics & Performance: Past, Present, & Future

HR Tech 2021 Series – Recruiting Metrics & Performance: Past, Present, & Future

HR Data Labs took the studio mobile and went live at HR Tech 2021 at Mandalay Bay in Las Vegas, NV, talking to thought leaders in People Analytics and HR Technology. Join us as we go on this enlightening journey gathering cutting-edge insights from our guests!

Tim Sackett is one of the few HR professionals who has been on both sides of the desk. With over 15 years of experience in talent acquisition, Tim has worked as a corporate staffing director for companies like Applebee’s International, ShopKo Stores, Inc. and Sparrow Health System. He has also had two stints with HRU. The first time, for eight year immediately following college; the second, returning à la Prodigal Son to run HRU—and his story is closer to the Biblical reference than you might think! Tim is an active HR blogger, a conference presenter, and an advocate for a Diet Mountain Dew soda fountain in the office. He truly believes that the most important role of HR in any organization is to increase talent. In this episode, Tim talks about how recruiting metrics and recruiting performance have changed over the years and where they might go in the years to come.

December 2, 2021

[0:00 – 6:03] Introduction

  • Welcome, Tim Sackett!
  • Today’s Topic: Recruiting Metrics & Performance

[6:04 – 16:49] Recruiting Metrics that Yield Usable Data

  • How some metrics fall short of their intended goal
  • Developing a constructive recruiter-hiring manager relationship

[16:50 – 28:35] What Impacts Recruiting Performance?

  • Starting to see the impact of AI on talent acquisition
  • How transparency in data can drive better performance
  • How much does compensation affect a person’s decision to leave an employer?

[28:36 – 29:44] Final Thoughts & Closing

  • Thank you for listening!

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In this show we cover topics on Analytics, HR Processes, and Rewards with a focus on getting answers that organizations need by demystifying People Analytics.

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