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| Criterion | ![]() Product Strategy Impact Mapping | ![]() Growth Pirate Metrics AARRR | ![]() Growth A/B Testing | ![]() Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | When a goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures. | 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. | 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. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 45-90 min | 1-2 h Setup, laufend | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 3-8 | 2-8 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop | Workshop + async | Async | Async |
Outputdifferent | Impact Map, Outcome Hypotheses, Delivery Options | AARRR funnel, Metric baseline, Experiment backlog | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | OutcomesStrategyBehaviorPlanning | GrowthMetricsExperiments | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |



