How AI and Data Analytics Can Help Manage Work Stress | Eitan Vesely of Watercooler

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EPISODE 412: Burnout has long been a cause of higher suicidal rates in the construction industry. But what if there’s a way to detect burnout before anything worse happens?

Join me in this week’s episode as my co-host, Nathan Wood, and I speak with Eitan Vesely, a former engineer turned successful founder.

Today, we’ll talk about the world of employee well-being and how Eitan’s Watercooler, an AI-powered tool, helps companies detect and combat burnout in their employees.

We’ll explore the balance needed in managerial interactions, the effectiveness of well-being programs, and their relevance to the high-demanding construction industry.

Tune in now and learn how you can proactively address burnout and foster healthier construction job sites.

Let’s jump in!

Key Takeaways:

Introduction (00:00)

Meet Eitan Vesely and how he started Watercooler (02:43)

How Watercooler gathers and uses data (07:26)

Addressing privacy and ethical concerns during data-gathering (15:29)

Leveraging AI to stop employee burnout (21:14)

Watercooler vs. other personality test platforms (24:31)

Real-world applications and success stories (26:35)

How burnout is influenced by work demands and inflexibility (29:55)

The balance between over and under management (32:13)