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Ep 716: Using AI To Transform Quality of Hire

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Manage episode 491910418 series 1535872
Content provided by Matt Alder. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Matt Alder or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Recruiting Future is a podcast that helps Talent Acquisition teams drive measurable impact by developing their strategic capability in Foresight, Influence, Talent, and Technology.

This episode is about Talent and Technology.

Timely and effective measurement of the quality of hire has long been a significant frustration for talent acquisition, with meaningful data often trapped in subjective performance reviews that arrive too late to be of any help.

But what if AI could help connect interview assessments, onboarding metrics, and performance data in ways that reveal which hires are going to succeed, creating real-time feedback loops that continually improve hiring decisions?

So, how exactly can employers build these types of connected systems?

My guest this week is Mark Linnville, Head of Talent at Garner Health. In our conversation, he reveals how to identify accurate leading indicators for quality of hire, why authentic interview experiences help predict performance, and how AI helps connect the dots we've been missing.

In the interview, we discuss:

  • Talent market challenges
  • Removing the silos in the talent function
  • Providing a true-to-self candidate experience
  • How do you judge quality of hire from a TA perspective?
  • Leading indicators versus lagging data
  • Creating continuous feedback loops
  • Using AI to connect interviews to performance
  • The importance of the human element of talent acquisition
  • What does the future look like?

Follow this podcast on Apple Podcasts.

Follow this podcast on Spotify.

  continue reading

780 episodes

Artwork
iconShare
 
Manage episode 491910418 series 1535872
Content provided by Matt Alder. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Matt Alder or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Recruiting Future is a podcast that helps Talent Acquisition teams drive measurable impact by developing their strategic capability in Foresight, Influence, Talent, and Technology.

This episode is about Talent and Technology.

Timely and effective measurement of the quality of hire has long been a significant frustration for talent acquisition, with meaningful data often trapped in subjective performance reviews that arrive too late to be of any help.

But what if AI could help connect interview assessments, onboarding metrics, and performance data in ways that reveal which hires are going to succeed, creating real-time feedback loops that continually improve hiring decisions?

So, how exactly can employers build these types of connected systems?

My guest this week is Mark Linnville, Head of Talent at Garner Health. In our conversation, he reveals how to identify accurate leading indicators for quality of hire, why authentic interview experiences help predict performance, and how AI helps connect the dots we've been missing.

In the interview, we discuss:

  • Talent market challenges
  • Removing the silos in the talent function
  • Providing a true-to-self candidate experience
  • How do you judge quality of hire from a TA perspective?
  • Leading indicators versus lagging data
  • Creating continuous feedback loops
  • Using AI to connect interviews to performance
  • The importance of the human element of talent acquisition
  • What does the future look like?

Follow this podcast on Apple Podcasts.

Follow this podcast on Spotify.

  continue reading

780 episodes

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