1. Turn a product question into a metric contract
Product Analytics · Define the population, analysis unit, event and observation window before calculating.
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Product Analytics
Funnels, cohorts, retention and responsible experiment interpretation.
2. Audit event evidence before interpreting a chart
Product Analytics · Validate identities, timestamps, repeated deliveries and event meaning.
Explore & practise3. Build an ordered, time-bounded user funnel
Product Analytics · Measure step conversion without counting repeats or out-of-order actions as new users.
Explore & practise4. Compare cohorts without confusing time and age
Product Analytics · Group users consistently and compare the same stage of their product lifetime.
Explore & practise5. Measure retention with complete observation windows
Product Analytics · Distinguish exact-day return, rolling return and incomplete data.
Explore & practise6. Design a randomized experiment before seeing results
Product Analytics · Define assignment, intention-to-treat analysis, outcomes, guardrails and stopping rules.
Explore & practise7. Interpret effects, uncertainty and experiment health
Product Analytics · Calculate an effect with its uncertainty and resist premature winner claims.
Explore & practise8. Deliver a product analytics decision memo
Product Analytics · Combine funnel, retention and experiment evidence into an honest recommendation.
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