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| Criterion |  Product Strategy DIBB |  Knowledge Modeling Linked Open Terms |  Decision Making Delphi Method |  Decision Making Force Field Analysis |
|---|---|---|---|---|
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. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. | 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. | 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. |
Complexitydifferent | Low | Medium | High | Low |
Timedifferent | 1-2 h | Wochen bis Monate | 1-4 Wochen | 45-90 min |
Participantsdifferent | 2-8 | 2-8 | 6-30 Experten | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Expert Forecast, Consensus Range, Assumption Notes | Force Field Map, Change Levers, Risk Notes |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | OntologyMethodologyAgileSemantic | ForecastingExpertsDecisionStrategy | ChangeDecisionStrategy |