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| Criterion |  Decision Making Delphi Method |  Decision Making Cynefin Workshop |  Decision Making Decision Tree |  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. | When problems are unclear, chaotic, or only seemingly familiar, standard recipes fall short. A Cynefin Workshop sorts situations by the nature of their problem and connects them with matching action logic. | 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. | 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 | Medium | Low |
Timedifferent | 1-4 Wochen | 60-180 min | 30-90 min | 1-2 h |
Participantsdifferent | 6-30 Experten | 4-20 | 1-6 | 2-8 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Cynefin Map, Domain-specific Actions, Sensemaking Notes | Decision Tree, Option Map, Assumption List | DIBB document, Belief list, Bet list, Learning report |
Tags1 shared | ForecastingExpertsDecisionStrategy | ComplexitySensemakingDecision | DecisionTreeOptions | StrategyDecisionAssumptionsHypothesis |