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| Criterion |  Growth Funnel Analysis |  Product Discovery Fake Door Test |  Product Discovery Hypothesis Prioritization Canvas |  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. | 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 | 1-3 h | 1-5 Tage | 60-90 min | 1-5 Tage |
Participantsdifferent | 1-5 | Nutzertraffic | 3-8 | Nutzertraffic |
Formatdifferent | Async | Async | Workshop | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Click Data, Interest Signal, Learning Decision | Prioritization Canvas, Hypothesis Backlog | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | AnalyticsConversionGrowth | ValidationExperimentsDemandDiscovery | ExperimentsPrioritizationDiscoveryHypothesis | ValidationExperimentsDemandGrowth |