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Use cases

Define the tracking plan as a schema and validate emissions

Analytics and tracking|The work pauses once the plan is written. Somebody reads the approach and approves it before any code exists, and the run continues from there.

A tracking plan in a spreadsheet, turned into a schema that fails the build when an event does not match.

The ticket

Express the tracking plan as a schema and validate emitted events against it.

Acceptance criteria

  • The plan is expressed as a machine-readable schema
  • Emissions are validated against it in CI
  • An invalid event fails the build rather than reaching the warehouse
  • The schema is the source the documentation is generated from

What lands as proof

A deliberately invalid event failing CI, which moves the failure from the warehouse to the pull request.

Why teams defer it

  • A spreadsheet plan and the code drift apart from the first week and nothing forces them back together.
  • Writing the schema means auditing what is actually emitted, which is the real work.

Questions

What does the agent actually change?
The ticket is scoped to one outcome: express the tracking plan as a schema and validate emitted events against it. Work that serves that outcome is in scope, and anything outside it is left for a separate ticket, so the pull request stays reviewable.
How do I know the work is done?
The pull request carries the evidence, not only the diff. Here that means an invalid event fails in CI rather than in the warehouse, so a reviewer can confirm the result without reproducing the work locally.
How much oversight does this need?
The run stops once the plan is written. Somebody reads the approach and approves it before any code exists, which is the cheapest moment to redirect the work.

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