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| Criterion |  Product Discovery Assumption Mapping |  Product Strategy DIBB |  Knowledge Modeling NeOn Methodology |
|---|---|---|---|
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. | The NeOn Methodology structures ontology work as a controlled process with reuse, scenarios, and reviews. It is useful when ontologies should not emerge ad hoc but modularly and reusably. |
Complexitydifferent | Medium | Low | High |
Timedifferent | 45-60 min | 1-2 h | Mehrere Wochen bis Monate |
Participantsdifferent | 2-8 | 2-8 | 2-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Assumption map, Test backlog, Risk ranking | DIBB document, Belief list, Bet list, Learning report | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tagsno overlap | AssumptionsRiskExperimentsValidation | StrategyDecisionAssumptionsHypothesis | OntologyMethodologyReuseSemanticEngineering |
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