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| Criterion | ![]() Operations After-Action Review | ![]() Decision Making Decision Tree | ![]() Product Strategy DIBB |
|---|---|---|---|
Purposedifferent | 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. | 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 | Low | Medium | Low |
Timedifferent | 20-45 min | 30-90 min | 1-2 h |
Participantsdifferent | 3-12 | 1-6 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Lessons learned, Action items, Event summary | Decision Tree, Option Map, Assumption List | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | LearningOperationsImprovement | DecisionTreeOptions | StrategyDecisionAssumptionsHypothesis |
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