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cover of episode Charlie Sull – How AI Can Actually Measure Company Culture

Charlie Sull – How AI Can Actually Measure Company Culture

2025/6/12
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Charlie Sull: 我认为企业文化至关重要,它是员工满意度的首要驱动因素,甚至比薪酬更重要。企业文化影响着员工在工作中的方方面面,以及公司的战略执行。然而,企业文化又非常无形,难以捉摸。因此,文化测量就显得尤为重要,它是连接重要性和无形性的桥梁,使文化变得有形和可量化,从而更容易管理。目前很多企业文化相关的言论都是空话,缺乏实际的测量和评估。如果有一种可靠的测量系统,能够显示员工对企业的关心程度,那么很多文化方面的胡说八道就会消失。 David Teretsky: 我认为企业文化与营销和品牌密切相关,它影响着人们对企业的整体感觉。企业领导者在塑造企业文化方面起着关键作用。同时,我也对如何实际测量企业文化很感兴趣。传统的调查方式存在很多问题,例如员工可能会机械地给出相同的答案,无法获取真实的信息。因此,我们需要一种更有效的方法来测量企业文化。 Dwight Brown: 我认为利用情感分析等技术可以更好地理解员工的感受。传统的调查方式可能会遗漏很多信息,而新的技术可以帮助我们更深入地了解员工的真实想法。同时,我也对如何获取数据来衡量企业文化感兴趣。例如,Glassdoor上的评论是否具有代表性?

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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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