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| Criterion |  Decision Making Decision Tree |  Operations After-Action Review |  Product Strategy DIBB |  Decision Making Delphi Method |
|---|---|---|---|---|
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. | After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement. | 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. |
Complexitydifferent | Medium | Low | Low | High |
Timedifferent | 30-90 min | 20-45 min | 1-2 h | 1-4 Wochen |
Participantsdifferent | 1-6 | 3-12 | 2-8 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Lessons learned, Action items, Event summary | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | DecisionTreeOptions | LearningOperationsImprovement | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy |