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| Criterion |  Product Discovery Hypothesis Prioritization Canvas |  Operations Change Analysis |  Product Discovery Fake Door Test |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
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. | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | 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 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 60-90 min | 45-120 min | 1-5 Tage | 45-75 min |
Participantsdifferent | 3-8 | 2-6 | Nutzertraffic | 2-8 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Click Data, Interest Signal, Learning Decision | Test Matrix, Test Plan |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | ChangeRoot causeTroubleshootingComparison | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryOptions |