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| Criterion |  Decision Making Delphi Method |  Knowledge Modeling Competency Questions |  Systems Thinking Future Reality Tree |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | 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. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | 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. |
Complexitydifferent | High | Medium | High | Low |
Timedifferent | 1-4 Wochen | 2-4 h | 2-4 h | 1-2 h |
Participantsdifferent | 6-30 Experten | 2-8 | 3-8 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ForecastingExpertsDecisionStrategy | OntologyKnowledge graphScopeRequirementsSemantic | Theory of ConstraintsSystems thinkingChange | StrategyDecisionAssumptionsHypothesis |