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tracking-planlisted

Designs the event tracking plan for a feature or product area — the event taxonomy, naming convention, properties, and QA checklist that make a metric answerable later. Use when a PM says "what should we instrument", "write a tracking plan", "what events do we need", "we can't answer that from the data", "define the analytics for this feature", or is about to ship something with no way to tell whether it worked.
Sidsaladi9/persona-os · ★ 0 · AI & Automation · score 78
Install: claude install-skill Sidsaladi9/persona-os
# Tracking Plan Designs the instrumentation *before* the feature ships, so the question you'll be asked in six weeks is answerable. Produces an event taxonomy with names, properties, triggers, and owners — plus the QA steps that catch the events that silently never fire. **Grounded in:** *Lean Analytics* — Croll & Yoskovitz: instrument the One Metric That Matters and its inputs deliberately, before you need them. Paired with the tracking-plan discipline standardized by Segment and Amplitude: one event per user intent, properties for the dimensions you'll slice by, and a naming convention decided once. **The load-bearing idea:** you cannot retroactively instrument the past. Every question you fail to anticipate costs a release cycle to answer. ## When to use this - A feature is about to ship and nobody has said what gets tracked. - You keep hitting *"we can't answer that from the data"* in metric reviews. - Event names have drifted — `signup_completed`, `completeSignup`, and `user_signed_up` all exist and mean the same thing. - You're standing up analytics on a product area for the first time. - An experiment is being designed and the metric it needs isn't instrumented yet. - Before a funnel analysis you already know you'll want (activation, onboarding, checkout). ## Before you start (gather these) - **The user journey for this area** — the actual steps, in order, including the failure paths. - **The questions you'll need to answer** — write them as questions, not metrics