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| Criterion | ![]() Growth Pirate Metrics AARRR | ![]() Decision Making Assumption Surfacing | ![]() Product Discovery Experiment Canvas | ![]() Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. | 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 | Medium | Low | Low | High |
Timedifferent | 1-2 h Setup, laufend | 45-90 min | 30-60 min | 1-4 Wochen |
Participantsdifferent | 2-8 | 2-8 | 1-5 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | AARRR funnel, Metric baseline, Experiment backlog | Assumption List, Critical Assumptions, Learning Plan | Completed Experiment Canvas, Success Metric | Experiment results, Decision log, Learning summary |
Tagsno overlap | GrowthMetricsExperiments | AssumptionsRiskDecisionDiscovery | ExperimentsValidationDiscoveryHypothesis | ExperimentsGrowthAnalyticsValidation |



