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| Criterion | ![]() Systems Thinking Leverage Points | ![]() Systems Thinking Future Reality Tree | ![]() Decision Making Constraint Analysis |
|---|---|---|---|
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. | 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. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. |
Complexitydifferent | High | High | Low |
Timedifferent | Half day | 2-4 h | 30-90 min |
Participantsdifferent | 3-12 | 3-8 | 2-8 |
Formatdifferent | Workshop | Workshop | Workshop + async |
Outputdifferent | Leverage Map, Action Strategy | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | Systems thinkingChangeStrategy | Theory of ConstraintsSystems thinkingChange | ConstraintsDecisionPlanningOptions |
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