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| Criterion |  Growth A/B Testing |  Growth Pirate Metrics AARRR |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Test Card |
|---|---|---|---|---|
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. | 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. | The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success. |
Complexitydifferent | High | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | 1-2 h Setup, laufend | 60-90 min | 20-35 min |
Participantsdifferent | 1-6 | 2-8 | 3-8 | 1-5 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | AARRR funnel, Metric baseline, Experiment backlog | Prioritization Canvas, Hypothesis Backlog | Test Card with a pre-set threshold |
Tags1 shared | ExperimentsGrowthAnalyticsValidation | GrowthMetricsExperiments | ExperimentsPrioritizationDiscoveryHypothesis | ExperimentsValidationDiscoveryHypothesis |