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
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