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| Criterion |  Operations After-Action Review |  Systems Thinking Future Reality 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. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | 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 | High | Low |
Timedifferent | 20-45 min | 2-4 h | 1-2 h |
Participantsdifferent | 3-12 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Lessons learned, Action items, Event summary | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | LearningOperationsImprovement | Theory of ConstraintsSystems thinkingChange | StrategyDecisionAssumptionsHypothesis |
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