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| Criterion |  Systems Thinking System Dynamics Simulation |  Systems Thinking Intervention Mapping |  Systems Thinking Causal Loop Diagram |  Systems Thinking Future Reality Tree |
|---|---|---|---|---|
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. | Intervention Mapping translates a need for change into a planned, evaluable program. The method connects target group, determinants, actions, and measurement into a traceable chain. | 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. | 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 | High | Medium | High |
Timedifferent | Mehrere Tage bis Wochen | 1-5 Tage | 1-3 h | 2-4 h |
Participantsdifferent | 1-5 Modellierende, Stakeholder asynchron | 4-12 | 2-8 | 3-8 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop |
Outputdifferent | Simulation Model, Scenario Reports | Logic Model, Change Objectives, Intervention Components, Evaluation Plan | Causal Loop Diagram, Feedback Notes, Leverage Points | Future Reality Tree, Negative Branches, Assumption List, Improved Injections |
Tags1 shared | Systems thinkingDynamicsSimulationAnalysis | ChangeSystems thinkingCapability | FeedbackSystems thinkingCausalityDynamics | Theory of ConstraintsSystems thinkingChange |