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| Criterion |  Product Strategy DIBB |  Decision Making Delphi Method |  Knowledge Modeling Competency Questions |  Knowledge Modeling Linked Open Terms |
|---|---|---|---|---|
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. | 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. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. |
Complexitydifferent | Low | High | Medium | Medium |
Timedifferent | 1-2 h | 1-4 Wochen | 2-4 h | Wochen bis Monate |
Participantsdifferent | 2-8 | 6-30 Experten | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy | OntologyKnowledge graphScopeRequirementsSemantic | OntologyMethodologyAgileSemantic |