Data. It’s loved by some, feared by many, but there’s no arguing that it’s an essential tool in a leader’s toolkit. But how do we turn numbers into knowledge?

In this episode, Figma’s Eric Grant shares why data fluency isn’t all about the tools—it’s about hands-on practice. He explains how consistently working with data drives better learning insights and leadership decisions, and argues that understanding the data behind the tools matters most.

You’ll learn:

• Lessons learned in data analytics from his time at Coinbase, Uber and Figma 
• Why (and how) practicing with data is more valuable than relying on tools
• Ways to measure learning program impact (his answer might surprise you!)
• The transition of a workplace with not enough data to too much data 
• New AI tools to watch out for

Things to listen for:

(00:00) Introduction to Eric Grant 

(06:53) How to use AI for data experimentation

(09:34) The importance of data when tracking the success of learning programs

(12:50) What L&D teams get wrong in measuring learning programs

(15:56) Why surveys shouldn’t be anonymous 

(19:44) Key indicators when measuring performance

(25:12) Measuring soft skills or company culture

(33:45) Partnership's role in the successful measurement of learning programs

(37:29) An adaptive learning project Eric’s working on 

(41:34) Data tools and resources reshaping L&D

(44:46) AI for course creation and instructional design

(45:19) Duolingo as an example of adaptive learning

To learn more about Eric and his work, check out his Linkedin profile or Figma’s website.

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