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| Criterion | ![]() Systems Thinking Future Reality Tree | ![]() Systems Thinking Intervention Mapping | ![]() 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. | Intervention Mapping translates a need for change into a planned, evaluable program. The method connects target group, determinants, actions, and measurement into a traceable chain. | 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 | High | High | Low |
Timedifferent | 2-4 h | 1-5 Tage | 1-4 Wochen | 1-2 h |
Participantsdifferent | 3-8 | 4-12 | 6-30 Experten | 2-8 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Logic Model, Change Objectives, Intervention Components, Evaluation Plan | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | Theory of ConstraintsSystems thinkingChange | ChangeSystems thinkingCapability | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis |



