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| Criterion |  Systems Thinking System Dynamics Simulation |  Innovation Design Thinking |  Systems Thinking Causal Loop Diagram |  Innovation Design Sprint |
|---|---|---|---|---|
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 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 the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. |
Complexitydifferent | High | High | Medium | High |
Timedifferent | Mehrere Tage bis Wochen | 1 Tag bis mehrere Wochen | 1-3 h | 4-5 Tage |
Participantsdifferent | 1-5 Modellierende, Stakeholder asynchron | 4-10 | 2-8 | 5-8 |
Formatdifferent | Async | Workshop | Workshop | Workshop |
Outputdifferent | Simulation Model, Scenario Reports | Problem Statement, Prototype, Test Learnings | Causal Loop Diagram, Feedback Notes, Leverage Points | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | Systems thinkingDynamicsSimulationAnalysis | InnovationPrototypeResearch | FeedbackSystems thinkingCausalityDynamics | Design sprintPrototypeValidationInnovation |