Data Infrastructure & Instrumentation Checklist for Learning
An actionable, savable checklist teams can use before experiments, KPI huddles, or data-product handoffs. Covers event taxonomy, ownership, instrumentation verification, test data, schema versioning, retention, discoverability, and a lightweight data product contract capture.
Data Infrastructure & Instrumentation Checklist for Learning
Use this checklist to confirm the events, metrics, and datasets needed for experiments, huddles, and measurement-driven decisions are instrumented, verified, and discoverable. Complete the checklist as part of experiment readiness, data-product handoff, or pre-huddle preparation. Save a copy of each submission so teams can track progress, surface recurring issues, and demonstrate signal trustworthiness.
Tips: Be concrete about dataset identifiers and evidence. If an item is blocked, note the blocker and an owner so the next huddle can remove the obstacle.
Save a personal copy, bring it to your team, or tailor the questions and workflow to fit what you are hungry to improve.
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