Most learning programs fail at measurement because they’re asking the wrong questions with the wrong tools.
Eric Grant, who leads learning and content in Product Support at Figma, has cracked the code on learning analytics that actually matter. With an MS in data science and experience at LinkedIn, Coinbase, Uber, and The Trade Desk, Eric brings statistical rigor to a field that typically runs on intuition.
In this episode, he shares his proven blueprint for measuring learning impact. He explains why the question “Did this make you better at your job?” beats satisfaction scores every time, how to set up control groups when AB testing isn’t possible, and when to invest in rigorous measurement versus when to trust the vibe.
From survey design that actually drives insights to avoiding the credibility-killing mistake of claiming every program worked, Eric provides the practical analytics toolkit that L&D professionals need to prove their impact.
If you’ve been struggling to move beyond course completions and smile sheets, this blueprint shows you exactly how to measure what actually matters.
Full Episode
Guest Links
Show Notes
- [00:00 – 03:03] Introduction to Learning Measurement
- [03:04 – 06:06] The Challenge of Measuring Learning
- [06:07 – 09:04] Perceived Value of Training
- [09:05 – 12:10] Marketing Learning Effectively
- [12:11 – 14:57] The Intersection of Data and Human Behavior
- [14:58 – 20:56] Case Study: Coinbase Training Success
- [20:57 – 23:48] Insights from Measurement and Analysis
- [23:49 – 29:57] Common Pitfalls in Learning Measurement
- [29:58 – 39:34] Final Thoughts and Recommendations
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