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| Criterion |  Product Strategy DIBB |  Knowledge Modeling Ontology Design Patterns |  Decision Making Delphi Method |  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. | 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. | 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 | High | Medium |
Timedifferent | 1-2 h | 1-3 h pro Pattern | 1-4 Wochen | 2-4 h |
Participantsdifferent | 2-8 | 1-6 | 6-30 Experten | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Expert Forecast, Consensus Range, Assumption Notes | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | OntologyPatternsReuseSemanticModeling | ForecastingExpertsDecisionStrategy | OntologyKnowledge graphScopeRequirementsSemantic |