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| Criterion |  Product Strategy DIBB |  Decision Making Delphi Method |  Systems Thinking Future Reality Tree |  Systems Thinking Leverage Points |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. |
Complexitydifferent | Low | High | High | High |
Timedifferent | 1-2 h | 1-4 Wochen | 2-4 h | Half day |
Participantsdifferent | 2-8 | 6-30 Experten | 3-8 | 3-12 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Leverage Map, Action Strategy |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy | Theory of ConstraintsSystems thinkingChange | Systems thinkingChangeStrategy |