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| Criterion |  Growth Funnel Analysis |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Learning Card |  Product Discovery Fake Door 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 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 Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | 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 | 1-3 h | 60-90 min | 25-40 min | 1-5 Tage |
Participantsdifferent | 1-5 | 3-8 | 1-5 | Nutzertraffic |
Formatdifferent | Async | Workshop | Workshop + async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Prioritization Canvas, Hypothesis Backlog | Learning Card with evidence and next action | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | AnalyticsConversionGrowth | ExperimentsPrioritizationDiscoveryHypothesis | ExperimentsValidationDiscoveryLearning | ValidationExperimentsDemandDiscovery |