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| Criterion |  Product Strategy DIBB |  Knowledge Modeling Ontology Design Patterns |  Decision Making Force Field Analysis |  Knowledge Modeling Competency Questions |
|---|---|---|---|---|
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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. | Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures. |
Complexitydifferent | Low | Medium | Low | Medium |
Timedifferent | 1-2 h | 1-3 h pro Pattern | 45-90 min | 2-4 h |
Participantsdifferent | 2-8 | 1-6 | 3-12 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Force Field Map, Change Levers, Risk Notes | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | OntologyPatternsReuseSemanticModeling | ChangeDecisionStrategy | OntologyKnowledge graphScopeRequirementsSemantic |