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| Criterion |  Systems Thinking Future Reality Tree |  Operations After-Action Review |  Product Strategy DIBB |  Systems Thinking Leverage Points |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. |
Complexitydifferent | High | Low | Low | High |
Timedifferent | 2-4 h | 20-45 min | 1-2 h | Half day |
Participantsdifferent | 3-8 | 3-12 | 2-8 | 3-12 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Lessons learned, Action items, Event summary | DIBB document, Belief list, Bet list, Learning report | Leverage Map, Action Strategy |
Tagsno overlap | Theory of ConstraintsSystems thinkingChange | LearningOperationsImprovement | StrategyDecisionAssumptionsHypothesis | Systems thinkingChangeStrategy |