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| Criterion |  Product Discovery Smoke Test |  Product Discovery Assumption Mapping |  Growth Pirate Metrics AARRR |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | For products with complex usage paths, overall growth alone is too coarse to reveal bottlenecks. Pirate Metrics breaks the relationship with the product into consecutive stages and shows where the funnel actually leaks. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | Low | Medium | Medium | High |
Timedifferent | 1-5 Tage | 45-60 min | 1-2 h Setup, laufend | 1-4 Wochen |
Participantsdifferent | Nutzertraffic | 2-8 | 2-8 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | Assumption map, Test backlog, Risk ranking | AARRR funnel, Metric baseline, Experiment backlog | Experiment results, Decision log, Learning summary |
Tags1 shared | ValidationExperimentsDemandGrowth | AssumptionsRiskExperimentsValidation | GrowthMetricsExperiments | ExperimentsGrowthAnalyticsValidation |