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| Criterion |  Product Strategy DIBB |  Knowledge Modeling NeOn Methodology |  Product Discovery Assumption Mapping |
|---|---|---|---|
Purposedifferent | 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. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Low | High | Medium |
Timedifferent | 1-2 h | Mehrere Wochen bis Monate | 45-60 min |
Participantsdifferent | 2-8 | 2-10 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | OntologyMethodologyReuseSemanticEngineering | AssumptionsRiskExperimentsValidation |
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