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| Criterion |  Decision Making Delphi Method |  Knowledge Modeling Ontology Design Patterns |  Product Discovery Assumption Mapping |  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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | 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. |
Complexitydifferent | High | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | 1-3 h pro Pattern | 45-60 min | 1-2 h |
Participantsdifferent | 6-30 Experten | 1-6 | 2-8 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Assumption map, Test backlog, Risk ranking | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ForecastingExpertsDecisionStrategy | OntologyPatternsReuseSemanticModeling | AssumptionsRiskExperimentsValidation | StrategyDecisionAssumptionsHypothesis |