Audit advanced Works with: Any AI

Product Analytics Event Tracking Audit

Table output

Check that tracking supports the questions you ask.

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Audit my product analytics tracking against the questions the team needs answered. Product description: [PRODUCT]. Analytics tool: [ANALYTICS_TOOL]. Key questions we want to answer: [BUSINESS_QUESTIONS]. Current event list with properties: [PASTE_EVENT_LIST].

Return tables:
1. Question coverage: Question | Events needed | Events I have | Properties needed | Missing | Can we answer it today? (yes, partly, no).
2. Event quality: Event name | Naming consistency (pattern, tense, case) | Properties present | Property types | Issue (duplicate, ambiguous, fires on load, missing user or account identifier, personal data in properties) | Fix.
3. Funnel integrity: sign-up, activation, key action, retention milestone, with the events in each and how to verify the order and de-duplication.
4. Data governance: owner for each event, definition, date added, and QA status.
5. Recommended tracking plan: Event | Trigger | Properties | Why it matters.

Suggest a naming convention in five rules, a QA routine (test in a debug view, check one real user flow, compare with the database), and privacy cautions. Don't recommend tracking everything; list events to remove.

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