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| Criterion |  Product Discovery MVP Test Matrix |  Growth Pirate Metrics AARRR |  Growth A/B Testing |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. | 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 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. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 45-75 min | 1-2 h Setup, laufend | 1-4 Wochen | 30-60 min |
Participantsdifferent | 2-8 | 2-8 | 1-6 | 1-5 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Test Matrix, Test Plan | AARRR funnel, Metric baseline, Experiment backlog | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric |
Tags1 shared | ExperimentsValidationDiscoveryOptions | GrowthMetricsExperiments | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis |