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| Criterion |  Product Discovery Hypothesis Prioritization Canvas |  Growth Pirate Metrics AARRR |  Product Discovery Experiment Canvas |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 60-90 min | 1-2 h Setup, laufend | 30-60 min | 1-5 Tage |
Participantsdifferent | 3-8 | 2-8 | 1-5 | Nutzertraffic |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | AARRR funnel, Metric baseline, Experiment backlog | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tags1 shared | ExperimentsPrioritizationDiscoveryHypothesis | GrowthMetricsExperiments | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |