Free Lesson
Metrics 101: Define a North Star with AI
Part of Build Your AI Product Analyst
60 min
Oct 7, 2026 1:00 PM
What you'll learn
Run the 7-question checklist
The quick test that tells you whether a candidate North Star actually predicts value, or just looks good on a dashboard.
Tell a leading metric from a lagging one
Spot the metric that moves before revenue does, so you can steer instead of reporting the score after the game.
Break it into the levers you can move
Decompose your North Star into the two or three inputs a team can actually act on this quarter.
Avoid the classic vanity traps
Catch the metrics that go up while the business goes nowhere, before they end up in a goal.
Why this topic matters
Most North Star metrics are vanity metrics in disguise. They climb on a slide while retention sits flat, and a whole quarter gets aimed at the wrong number. AI can pressure-test yours in minutes: it checks the definition, tests whether it leads or lags, and breaks it into levers you can move. This session is the workflow for defining a North Star that holds up, and you leave with a checklist.
