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| Criterion |  Systems Thinking Future Reality Tree |  Knowledge Modeling Competency Questions |  Decision Making Delphi Method |  Decision Making OODA Loop |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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 | In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia. |
Complexitydifferent | High | Medium | High | Medium |
Timedifferent | 2-4 h | 2-4 h | 1-4 Wochen | 15-60 min je Zyklus |
Participantsdifferent | 3-8 | 2-8 | 6-30 Experten | 1-8 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Expert Forecast, Consensus Range, Assumption Notes | Situation Assessment, Decision Loop, Action Updates |
Tagsno overlap | Theory of ConstraintsSystems thinkingChange | OntologyKnowledge graphScopeRequirementsSemantic | ForecastingExpertsDecisionStrategy | DecisionChangeLearningStrategy |