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| Criterion |  Growth A/B Testing |  Growth Pirate Metrics AARRR |  Product Discovery Test Card |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | 1-4 Wochen | 1-2 h Setup, laufend | 20-35 min | 60-90 min |
Participantsdifferent | 1-6 | 2-8 | 1-5 | 3-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | AARRR funnel, Metric baseline, Experiment backlog | Test Card with a pre-set threshold | Prioritization Canvas, Hypothesis Backlog |
Tags1 shared | ExperimentsGrowthAnalyticsValidation | GrowthMetricsExperiments | ExperimentsValidationDiscoveryHypothesis | ExperimentsPrioritizationDiscoveryHypothesis |