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| Criterion |  Growth Funnel Analysis |  Growth Pirate Metrics AARRR |  Product Discovery Assumption Mapping |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | 1-3 h | 1-2 h Setup, laufend | 45-60 min | 1-5 Tage |
Participantsdifferent | 1-5 | 2-8 | 2-8 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | AARRR funnel, Metric baseline, Experiment backlog | Assumption map, Test backlog, Risk ranking | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | AnalyticsConversionGrowth | GrowthMetricsExperiments | AssumptionsRiskExperimentsValidation | ValidationExperimentsDemandGrowth |