A practical event taxonomy that survives product change
How to name events around user intent, keep properties useful, and prevent a tracking plan from becoming archaeology.
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Ideas for more useful product evidence.
Practical notes for teams that want their analytics to produce clearer choices.
Retention curves: what the shape is actually telling you
A field guide to comparing cohorts, spotting weak activation, and avoiding conclusions the data cannot support.
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Choosing one useful north-star metric
A good north-star metric reflects delivered value. Here is how to test candidates against real product behavior.
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