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?
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