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| Criterion |  Product Discovery Hypothesis Prioritization Canvas |  Knowledge Modeling Knowledge Mapping |  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. | Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable. | 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 | 1-3 h | 30-60 min | 1-5 Tage |
Participantsdifferent | 3-8 | 3-12 | 1-5 | Nutzertraffic |
Formatdifferent | Workshop | Workshop | Workshop + async | Async |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | KnowledgeMappingRisk | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |