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| Criterion |  Growth Pirate Metrics AARRR |  Product Discovery Fake Door Test |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Smoke Test |
|---|---|---|---|---|
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. | 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. | 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. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 1-2 h Setup, laufend | 1-5 Tage | 60-90 min | 1-5 Tage |
Participantsdifferent | 2-8 | Nutzertraffic | 3-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | AARRR funnel, Metric baseline, Experiment backlog | Click Data, Interest Signal, Learning Decision | Prioritization Canvas, Hypothesis Backlog | Interest Metrics, Conversion Signal, Learning Note |
Tags1 shared | GrowthMetricsExperiments | ValidationExperimentsDemandDiscovery | ExperimentsPrioritizationDiscoveryHypothesis | ValidationExperimentsDemandGrowth |