The Recognition Mistake Costing You Your Best People with Michelle Kozin

Lisa Ryan sits down with Michelle Kozin, an organizational strategist who uses behavioral science to help manufacturers connect people strategy with business strategy. Michelle's background in change management started with large-scale ERP implementations, where she learned that the technology was never the hard part. The people were.

In this conversation, Michelle and Lisa unpack why the same recognition can motivate one employee and completely miss the mark with another, why pay is rarely the real reason a skilled tradesperson walks out the door, and why role clarity might matter more than personality type when it comes to unlocking performance. They also look ahead to a shift already underway on plant floors: leaders who will soon manage AI agents alongside human teams, and what that means for trust, communication, and job design.

What You'll LearnWhy change triggers fear of loss, not fear of change itself, and what that means for how leaders communicateThe difference between extrinsic and intrinsic motivators, and why money is rarely the true reason someone starts job huntingHow to recognize employees according to how they're wired, not how you'd want to be recognized yourselfWhy treating everyone "the same" often reads as unfair, and what real fairness looks like insteadThe difference between behavioral assessments and job assessments, and why role clarity solves more retention problems than personality typing doesHow AI and automation are reshaping job expectations the same way ERP implementations did two decades agoOne question every plant manager can ask before their next one-on-one to build more trust this week

Key QuotesMichelle Kozin on why people resist change: people aren't afraid of change itself, they're afraid of what they might lose, whether that's control, influence, or relationships.

Michelle on recognition: a gift lands based on the person opening it, not the person giving it, and that means leaders need to know how each team member is wired before deciding how to show appreciation.

Michelle on fairness: real fairness means matching your approach to the person in front of you, using the same standard of communication but a different path to get there.

Lisa Ryan on AI and human judgment: machines will be right the vast majority of the time, but the small percentage where human judgment matters is exactly where tribal knowledge and critical thinking need to be protected and passed down.

Actionable Takeaways for Plant and Operations Leader