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| Criterion |  Systems Thinking System Dynamics Simulation |  Innovation Design Thinking |  Product Discovery Outcome-Driven Innovation |  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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | 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 | Mehrere Wochen | 1-3 h |
Participantsdifferent | 1-5 Modellierende, Stakeholder asynchron | 4-10 | 2-6 researchers plus sample | 2-8 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop |
Outputdifferent | Simulation Model, Scenario Reports | Problem Statement, Prototype, Test Learnings | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Causal Loop Diagram, Feedback Notes, Leverage Points |
Tagsno overlap | Systems thinkingDynamicsSimulationAnalysis | InnovationPrototypeResearch | OutcomesInnovationResearchQuantitative | FeedbackSystems thinkingCausalityDynamics |