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| Criterion |  Product Strategy DIBB |  Decision Making Assumption Surfacing |  Knowledge Modeling Ontology Design Patterns |  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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | 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 | Low | Medium | Medium |
Timedifferent | 1-2 h | 45-90 min | 1-3 h pro Pattern | 2-4 h |
Participantsdifferent | 2-8 | 2-8 | 1-6 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Assumption List, Critical Assumptions, Learning Plan | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | AssumptionsRiskDecisionDiscovery | OntologyPatternsReuseSemanticModeling | OntologyKnowledge graphScopeRequirementsSemantic |