AI Product Telemetry
Telemetry for AI products goes beyond tokens and latency. It measures whether the feature changes user behavior in a positive way.
Useful Product Signals
- Acceptance rate of suggestions
- Edit distance between draft and final output
- Time saved on repeated workflows
- Escalation or retry frequency
- User retention for AI-powered features
Why Telemetry Matters
A model can be technically impressive while still failing the product test. Telemetry shows whether answers are trusted, whether users complete tasks faster, and whether the feature creates new friction.
Product Truth
The best AI metrics connect system behavior to user outcomes. That is what separates a model demo from a valuable product capability.