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Charlie Sull, Co-Founder of CultureX and Culture Researcher at MIT, joins us this episode to explore how artificial intelligence is revolutionizing the way we understand and measure corporate culture. He explains why traditional employee surveys fall short and how AI tools are providing new insights into what employees really think about their workplace culture.

[0:00] Introduction

• Welcome, Charlie!
• Today’s Topic: Using AI to Understand and Improve Corporate Culture

[5:30] Why should anyone care about cultural measurement?

• We know culture is important, but many still see it as an ethereal concept that’s difficult to manage
• Why so many people think corporate culture is marketing nonsense

[13:22] How is culture actually measured?

• Why 1-to-5-point scale surveys fail to capture true sentiment
• Using LLMs to analyze and distill human sentiment from employee reviews

[24:13] Why is AI a better way of measuring company culture?

• Why deciphering complex employee sentiments is nearly impossible with traditional surveys
• The newfound flexibility of gathering data for culture analysis using AI tools

[35:08] Closing

• Thanks for listening!

Quick Quote

“[With traditional 1-to-5-point scale surveys] you’re not getting any information. If you’re trying to measure company culture with this robotic, repetitive low quality data, you just can’t understand . . . what your employees are saying.”

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