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| Criterion |  Product Discovery Working Backwards |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery MVP Test Matrix |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When the target state and benefit need to be clear first, it thinks backward from the desired outcome into the product logic. It sharpens vision, objections, and value proposition before elaboration. | 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 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 4-8 h, mehrere Iterationen | 60-90 min | 45-75 min | 1-5 Tage |
Participantsdifferent | 2-6 | 3-8 | 2-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Workshop | Async |
Outputdifferent | Future Press Release, FAQ, Vision Statement | Prioritization Canvas, Hypothesis Backlog | Test Matrix, Test Plan | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | VisionNarrativeAlignment | ExperimentsPrioritizationDiscoveryHypothesis | ExperimentsValidationDiscoveryOptions | ValidationExperimentsDemandDiscovery |