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| Criterion |  Decision Making Decision Tree |  Operations After-Action Review |  Decision Making OODA Loop |  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. | 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. | In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia. | 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 | Low | Medium | Low |
Timedifferent | 30-90 min | 20-45 min | 15-60 min je Zyklus | 1-2 h |
Participantsdifferent | 1-6 | 3-12 | 1-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Lessons learned, Action items, Event summary | Situation Assessment, Decision Loop, Action Updates | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | DecisionTreeOptions | LearningOperationsImprovement | DecisionChangeLearningStrategy | StrategyDecisionAssumptionsHypothesis |