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| Criterion |  Knowledge Modeling IBIS |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Fake Door Test |
|---|---|---|---|
Purposedifferent | IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus. | 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 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 |
Timedifferent | 1-3 h | 60-90 min | 1-5 Tage |
Participantsdifferent | 2-8 | 3-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Async |
Outputdifferent | Issue Map, Positions, Argument Notes | Prioritization Canvas, Hypothesis Backlog | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | RationaleKnowledgeDecision | ExperimentsPrioritizationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |
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