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| Criterion |  Knowledge Modeling IBIS |  Product Discovery Concierge MVP |  Product Strategy DIBB |
|---|---|---|---|
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 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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. |
Complexitydifferent | Medium | Medium | Low |
Timedifferent | 1-3 h | 1-4 Wochen | 1-2 h |
Participantsdifferent | 2-8 | 3-10 Kunden | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Issue Map, Positions, Argument Notes | Concierge Learnings, Service Blueprint, MVP Risks | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | RationaleKnowledgeDecision | MVPValidationServiceDiscovery | StrategyDecisionAssumptionsHypothesis |
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