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| Criterion |  Knowledge Modeling IBIS |  Growth A/B Testing |  Product Discovery Concierge MVP |  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 two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | When an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. | 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 | High | Medium | Medium |
Timedifferent | 1-3 h | 1-4 Wochen | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 2-8 | 1-6 | 3-10 Kunden | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Issue Map, Positions, Argument Notes | Experiment results, Decision log, Learning summary | Concierge Learnings, Service Blueprint, MVP Risks | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | RationaleKnowledgeDecision | ExperimentsGrowthAnalyticsValidation | MVPValidationServiceDiscovery | ValidationExperimentsDemandDiscovery |