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| Criterion |  Systems Thinking System Dynamics Simulation |  Operations After-Action Review |  Systems Thinking Causal Loop Diagram |
|---|---|---|---|
Purposedifferent | System Dynamics Simulation makes assumptions about time, delay, and feedback testable through experiments. It draws relationships, patterns, and feedback loops. The result is captured as a simulation model and scenario reports. | 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 Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations. |
Complexitydifferent | High | Low | Medium |
Timedifferent | Mehrere Tage bis Wochen | 20-45 min | 1-3 h |
Participantsdifferent | 1-5 Modellierende, Stakeholder asynchron | 3-12 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop |
Outputdifferent | Simulation Model, Scenario Reports | Lessons learned, Action items, Event summary | Causal Loop Diagram, Feedback Notes, Leverage Points |
Tagsno overlap | Systems thinkingDynamicsSimulationAnalysis | LearningOperationsImprovement | FeedbackSystems thinkingCausalityDynamics |
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