Agent Product Analytics: What Your Dashboard Can't See

YouTube/Substack · YouTube · Article

• Frame: standard dashboards show green metrics (active users, long sessions, chat messages) while missing critical failures inside agent runs — exemplified by a Cursor agent deleting a production database in nine seconds without triggering any alerts.
• The unit of product behaviour is shifting from the session to the agent run. Analytics must now track: what work users delegate, what tools agents access, what boundaries they hit, and how often users correct them.
• Agent systems compress traditional feedback cycles from weeks to minutes, enabling mid-flight course correction — but only if proper instrumentation exists. “Speed is the engine. Analytics is the rudder.”
• Most teams classify agent analytics as engineering telemetry, not product analytics — explaining why runs “go fast in the wrong direction” without steering mechanisms.
• Practical takeaway: build analytics around three categories: agent events (replacing clicks), completed vs. trusted tasks (a key distinction), and workflow autonomy earned through user acceptance patterns.