Free Lesson

AI Feature Analytics: A Practical Framework

Hosted by Glenn Vanderlinden

Tue, Jun 16, 2026

12:00 PM UTC (30 minutes)

Virtual (Zoom)

Free to join

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What you'll learn

Measure AI feature behavior

Apply a decision-based model that tracks how users engage with AI features, not just whether the feature fired.

Connect events to business questions

Use Glenn's decision map to link every instrumented event to a specific question your team can answer and act on.

Design a scalable AI event taxonomy

Apply a property design pattern that keeps your AI tracking clean and consistent as you ship more features.

Why this topic matters

Most product teams are just starting to think about AI in their workflows—not yet building agents, but adding AI features and trying to figure out what to measure. This session is a practical deep dive into setting up the basics correctly. If your team is at the "we're adding AI features, now what do we measure?" stage, this is where to start.

You'll learn from

Glenn Vanderlinden

Co-founder, Humans37 | Data Strategy & Operations Expert

Glenn Vanderlinden is a co-founder at Human37, a data strategy and operations agency with operations across EMEA. At Human37 he leads the analytics practice, focusing on data activation, privacy and governance. Glenn enjoys solving complex problems and is mostly driven by curiosity. 

He prefers an actionable and pragmatic approach above all else and is a firm believer in learning by doing. You can find some of his work on glennv.com.


Connect with Glenn and other product leaders in Cohort, an Amplitude community.

CREDENTIALS INCLUDE

Human37
Deloitte
Semetis
See all products from Amplitude AI Analytics

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