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| Criterion |  Decision Making Delphi Method |  Product Discovery Assumption Mapping |  Knowledge Modeling NeOn Methodology |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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. | 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 | High | Medium | High | Low |
Timedifferent | 1-4 Wochen | 45-60 min | Mehrere Wochen bis Monate | 1-2 h |
Participantsdifferent | 6-30 Experten | 2-8 | 2-10 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Assumption map, Test backlog, Risk ranking | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ForecastingExpertsDecisionStrategy | AssumptionsRiskExperimentsValidation | OntologyMethodologyReuseSemanticEngineering | StrategyDecisionAssumptionsHypothesis |