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| Criterion |  Systems Thinking Leverage Points |  Operations ALPEN Method |  Operations After-Action Review |  Systems Thinking Future Reality Tree |
|---|---|---|---|---|
Purposedifferent | 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. | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | 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. |
Complexitydifferent | High | Low | Low | High |
Timedifferent | Half day | 10-20 min daily | 20-45 min | 2-4 h |
Participantsdifferent | 3-12 | 1 | 3-12 | 3-8 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop |
Outputdifferent | Leverage Map, Action Strategy | Daily Plan, Time Estimates, Review Notes | Lessons learned, Action items, Event summary | Future Reality Tree, Negative Branches, Assumption List, Improved Injections |
Tagsno overlap | Systems thinkingChangeStrategy | PlanningTime managementProductivityOperations | LearningOperationsImprovement | Theory of ConstraintsSystems thinkingChange |