measure

A telemetry event schema specifies event names, triggers, and properties so instrumentation teams can implement product analytics consistently. You define it within a measurement plan to capture KPIs and track feature success verifiably before implementation begins.

A telemetry and measurement plan defines success metrics, event schemas, telemetry destinations, and failure signals to make feature outcomes verifiable. It aligns teams on what to measure and ensures errors, drop-offs, and performance issues are caught early.

You plan KPI tracking and failure signals by defining success metrics from your PRD and specifying telemetry destinations. This ensures you catch errors, drop-offs, and performance issues early by creating a concrete measurement plan before building the feature.

Yes, generating an event schema from your PRD produces a measurement plan that includes event names, triggers, and properties. This schema provides consistent instrumentation guidance for product analytics tools like PostHog or Sentry.

Yes, you need an existing PRD to define product analytics KPIs. The measurement plan applies to product development scenarios where the PRD success metrics are missing, ambiguous, or need alignment, using the PRD as the input to generate verifiable outcomes.

The best way to align teams on feature success metrics is creating a concrete measurement plan before implementation. By defining success metrics, event schemas, and failure signals upfront, teams verify outcomes instead of guessing what success means.