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| Criterion |  Knowledge Modeling Teach-back |  Systems Thinking Future Reality Tree |  Decision Making Delphi Method |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | Teach-back checks whether an explanation actually got through to the other person. The method makes misunderstandings visible early and strengthens shared understanding in advisory and learning situations. | 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. | 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 | Low | High | High | Low |
Timedifferent | 5-20 min | 2-4 h | 1-4 Wochen | 1-2 h |
Participantsdifferent | 2-8 | 3-8 | 6-30 Experten | 2-8 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | Understanding Check, Clarification Notes, Learning Gaps | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | LearningUnderstandingCommunication | Theory of ConstraintsSystems thinkingChange | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis |