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| Criterion |  Systems Thinking Future Reality Tree |  Growth A/B Testing |  Decision Making Constraint Analysis |
|---|---|---|---|
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. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | 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 | 2-4 h | 1-4 Wochen | 30-90 min |
Participantsdifferent | 3-8 | 1-6 | 2-8 |
Formatdifferent | Workshop | Async | Workshop + async |
Outputdifferent | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Experiment results, Decision log, Learning summary | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | Theory of ConstraintsSystems thinkingChange | ExperimentsGrowthAnalyticsValidation | ConstraintsDecisionPlanningOptions |
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