Listen "Ep 742: Aligning Hiring with Values"
Episode Synopsis
Most hiring currently focuses on assessing a mix of skills and experience. However, there's a deeper layer that often gets overlooked. Companies talk endlessly about culture and values, yet few know how to genuinely assess them.
This matters especially for purpose-driven organizations. Whether it's a B Corp, a sustainability-focused business, or any company with a strong mission, finding people whose values are truly aligned isn't just nice to have—it's essential.
So how do you find genuinely aligned candidates, and where does technology help, and where does it hinder
My guest this week is Leon Richards, founder of Good Talent, an Executive search & leadership advisory consultancy for values-led organizations. In our conversation, he explains how values-based recruiting actually works, why human judgment matters, and what responsible AI use looks like.
In the interview, we discuss:
Values, purpose, and mission-driven organizations
The importance of alignment
Why cultural fit is often missed
How to assess for values alignment
AI, human skills, and accountability
The "moral crumple zone"
What does responsible AI look like?
The future of TA
This matters especially for purpose-driven organizations. Whether it's a B Corp, a sustainability-focused business, or any company with a strong mission, finding people whose values are truly aligned isn't just nice to have—it's essential.
So how do you find genuinely aligned candidates, and where does technology help, and where does it hinder
My guest this week is Leon Richards, founder of Good Talent, an Executive search & leadership advisory consultancy for values-led organizations. In our conversation, he explains how values-based recruiting actually works, why human judgment matters, and what responsible AI use looks like.
In the interview, we discuss:
Values, purpose, and mission-driven organizations
The importance of alignment
Why cultural fit is often missed
How to assess for values alignment
AI, human skills, and accountability
The "moral crumple zone"
What does responsible AI look like?
The future of TA
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