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| Criterion |  Systems Thinking Future Reality Tree |  Knowledge Modeling Feynman Technique |  Decision Making Force Field Analysis |  Decision Making Delphi Method |
|---|---|---|---|---|
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. | The Feynman Technique checks understanding by explaining a topic so that it stays easy for others to understand. It makes knowledge gaps visible before they become costly in everyday work. | 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. | 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. |
Complexitydifferent | High | Low | Low | High |
Timedifferent | 2-4 h | 20-60 min | 45-90 min | 1-4 Wochen |
Participantsdifferent | 3-8 | 1 | 3-12 | 6-30 Experten |
Formatdifferent | Workshop | Async | Workshop | Async |
Outputdifferent | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Plain-language Explanation, Knowledge Gaps, Study Notes | Force Field Map, Change Levers, Risk Notes | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | Theory of ConstraintsSystems thinkingChange | LearningKnowledgeUnderstanding | ChangeDecisionStrategy | ForecastingExpertsDecisionStrategy |