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| Criterion |  Product Discovery Pretotyping |  Knowledge Modeling Knowledge Mapping |  Product Discovery MVP Test Matrix |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. | 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 several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. | 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 | Low | Medium | Medium | Medium |
Timedifferent | Stunden bis wenige Tage | 1-3 h | 45-75 min | 1-5 Tage |
Participantsdifferent | 1-4 | 3-12 | 2-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Workshop | Async |
Outputdifferent | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Test Matrix, Test Plan | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ValidationDemandMVP | KnowledgeMappingRisk | ExperimentsValidationDiscoveryOptions | ValidationExperimentsDemandDiscovery |