An event taxonomy that survives product growth
How to make event names, properties, and ownership useful after the first release—without turning the plan into a tracking encyclopaedia.
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Field-tested thinking for healthier analytics.
Practical notes on measurement design, data quality, behavioural analysis, and the choices behind trustworthy product evidence.
Retention analysis beyond one number
A practical way to choose return behaviours, cohort windows, and segments that reflect how your app genuinely creates value.
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A calm analytics QA routine before release
A repeatable pre-release check for event firing, identity, properties, consent, and edge cases across mobile apps.
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