The learning metrics that matter: A data masterclass with Figma's Eric Grant
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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).

Interested in attending an interview live? Find out more at bigthink.com/plus/events)

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