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| Criterion |  Systems Thinking System Dynamics Simulation |  Systems Thinking Polarity Mapping |  Systems Thinking Iceberg Model |  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. | Polarity Mapping makes tensions between two opposing poles tangible, such as standardization and adaptation or control and autonomy. The method guards against making apparent either-or decisions prematurely. | The Iceberg Model separates visible events from patterns, structures, and mental models. This turns a single observation into a deeper understanding of why a problem keeps recurring. | 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 | Medium | Low | Medium |
Timedifferent | Mehrere Tage bis Wochen | 1-2 h | 30-60 min | 1-3 h |
Participantsdifferent | 1-5 Modellierende, Stakeholder asynchron | 3-12 | 2-10 | 2-8 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop |
Outputdifferent | Simulation Model, Scenario Reports | Polarity Map, Warning Signs, Balance Actions | Iceberg Worksheet, Pattern Notes, Intervention Ideas | Causal Loop Diagram, Feedback Notes, Leverage Points |
Tags1 shared | Systems thinkingDynamicsSimulationAnalysis | Systems thinkingTradeoffsLeadership | Systems thinkingRoot causePatterns | FeedbackSystems thinkingCausalityDynamics |