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| Criterion |  Systems Thinking System Dynamics Simulation |  Innovation Design Thinking |  Systems Thinking Current Reality Tree |  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. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once. | 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 | High | High | Medium |
Timedifferent | Mehrere Tage bis Wochen | 1 Tag bis mehrere Wochen | 2-6 h | 1-3 h |
Participantsdifferent | 1-5 Modellierende, Stakeholder asynchron | 4-10 | 3-8 | 2-8 |
Formatdifferent | Async | Workshop | Workshop | Workshop |
Outputdifferent | Simulation Model, Scenario Reports | Problem Statement, Prototype, Test Learnings | Current Reality Tree, Core Problems, Intervention Ideas | Causal Loop Diagram, Feedback Notes, Leverage Points |
Tagsno overlap | Systems thinkingDynamicsSimulationAnalysis | InnovationPrototypeResearch | Systems thinkingRoot causeConstraintsCausality | FeedbackSystems thinkingCausalityDynamics |