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| Criterion |  Decision Making Decision Tree |  Decision Making Delphi Method |  Systems Thinking Leverage Points |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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. | 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. | 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 | Medium | High | High | Low |
Timedifferent | 30-90 min | 1-4 Wochen | Half day | 1-2 h |
Participantsdifferent | 1-6 | 6-30 Experten | 3-12 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Expert Forecast, Consensus Range, Assumption Notes | Leverage Map, Action Strategy | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | DecisionTreeOptions | ForecastingExpertsDecisionStrategy | Systems thinkingChangeStrategy | StrategyDecisionAssumptionsHypothesis |