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| Criterion | ![]() Decision Making Delphi Method | ![]() Decision Making Decision Tree | ![]() Systems Thinking Leverage Points | ![]() Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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 | High | Medium | High | Low |
Timedifferent | 1-4 Wochen | 30-90 min | Half day | 1-2 h |
Participantsdifferent | 6-30 Experten | 1-6 | 3-12 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Decision Tree, Option Map, Assumption List | Leverage Map, Action Strategy | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ForecastingExpertsDecisionStrategy | DecisionTreeOptions | Systems thinkingChangeStrategy | StrategyDecisionAssumptionsHypothesis |



