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| Criterion |  Systems Thinking Future Reality Tree |  Knowledge Modeling Feynman Technique |  Decision Making Delphi Method |  Product Strategy DIBB |
|---|---|---|---|---|
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. | 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. | 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 | Low | High | Low |
Timedifferent | 2-4 h | 20-60 min | 1-4 Wochen | 1-2 h |
Participantsdifferent | 3-8 | 1 | 6-30 Experten | 2-8 |
Formatdifferent | Workshop | Async | Async | Workshop + async |
Outputdifferent | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Plain-language Explanation, Knowledge Gaps, Study Notes | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | Theory of ConstraintsSystems thinkingChange | LearningKnowledgeUnderstanding | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis |