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| Criterion |  Product Discovery Assumption Mapping |  Product Strategy DIBB |  Knowledge Modeling Ontology Design Patterns |  Decision Making Assumption Surfacing |
|---|---|---|---|---|
Purposedifferent | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | 45-60 min | 1-2 h | 1-3 h pro Pattern | 45-90 min |
Participantsdifferent | 2-8 | 2-8 | 1-6 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Assumption map, Test backlog, Risk ranking | DIBB document, Belief list, Bet list, Learning report | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Assumption List, Critical Assumptions, Learning Plan |
Tagsno overlap | AssumptionsRiskExperimentsValidation | StrategyDecisionAssumptionsHypothesis | OntologyPatternsReuseSemanticModeling | AssumptionsRiskDecisionDiscovery |