event-tracking-plan

Create an event tracking plan by translating top product questions into key events, properties, and naming conventions, producing an engineer-ready specification with payload examples, identity mapping, and validation notes for reliable product analytics instrumentation.

The best way to define event naming conventions is to group events by flow or feature using consistent snake_case formatting for events and properties, ensuring your tracking schema captures the exact data needed to answer core business questions.

Map business questions to events by identifying the user actions and properties required to answer each query, then document these mappings within your tracking spec to ensure every tracked event directly supports a product analytics goal.

Yes, you can generate engineer-ready tracking specs for experiment instrumentation and schema redesign by defining global properties, identity mapping, and implementation notes compatible with common analytics platforms to onboard engineers quickly.

Product analytics instrumentation fails to answer business questions when events are tracked reactively without a structured plan, causing under-instrumentation and missing properties that prevent teams from querying essential user flow data.

An engineer-ready tracking specification should include event definitions, example payloads, global and identity properties, naming conventions, business-question mappings, and implementation and validation notes to ensure reliable feature instrumentation.