AI features are shipping fast. But how do you know if they're actually working?

Most teams default to the metrics they already have. The problem is that traditional product metrics only tell part of the story when AI is involved. You need a system that connects your north star all the way down to the granular signals that reveal whether your AI features are delivering real value, or just creating noise.

This is the third session in our AI Amplified live webinar series, built for product teams who want to move from AI experimentation to AI that actually delivers.

In this session, product coaches Raz and Ana from JustMad walk through a practical framework for building the right metrics system for AI. You'll leave with a clear playbook for defining your growth formula, layering in the additional signals AI features demand, and evaluating AI feature success from north star to granular evals.

What You'll Learn

• Building your growth formula with KPI trees: how to map the metrics that matter most for your product and make sure your AI features connect to real business outcomes
• Expanding your metrics toolkit for AI: why traditional product metrics are still the foundation, and how to layer in the additional signals AI features demand to get the full picture
• Evaluating AI feature success end to end: from setting a north star metric to defining granular evals, with a framework that works for both simple AI features and complex agents

Live Q&A: bring your questions and we'll dig into your specific measurement challenges