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| Criterion |  Systems Thinking System Dynamics Simulation |  Systems Thinking Causal Loop Diagram |  Product Discovery Experiment Canvas |
|---|---|---|---|
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. | 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. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | High | Medium | Low |
Timedifferent | Mehrere Tage bis Wochen | 1-3 h | 30-60 min |
Participantsdifferent | 1-5 Modellierende, Stakeholder asynchron | 2-8 | 1-5 |
Formatdifferent | Async | Workshop | Workshop + async |
Outputdifferent | Simulation Model, Scenario Reports | Causal Loop Diagram, Feedback Notes, Leverage Points | Completed Experiment Canvas, Success Metric |
Tagsno overlap | Systems thinkingDynamicsSimulationAnalysis | FeedbackSystems thinkingCausalityDynamics | ExperimentsValidationDiscoveryHypothesis |
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