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| Criterion |  Decision Making Pre-Mortem |  Decision Making Decision Tree |  Decision Making Delphi Method |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures. | 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. | 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 | Low | Medium | High | Low |
Timedifferent | 20–45 min | 30-90 min | 1-4 Wochen | 1-2 h |
Participantsdifferent | Small cross-functional group | 1-6 | 6-30 Experten | 2-8 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Risk list, Mitigation plan, Assumption log | Decision Tree, Option Map, Assumption List | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report |
Tags1 shared | RiskDecisionFailurePlanning | DecisionTreeOptions | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis |