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| Criterion |  Systems Thinking System Dynamics Simulation |  Product Discovery Outcome-Driven Innovation |  Systems Thinking Causal Loop Diagram |  Innovation Design Thinking |
|---|---|---|---|---|
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. | 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. | 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. |
Complexitydifferent | High | High | Medium | High |
Timedifferent | Mehrere Tage bis Wochen | Mehrere Wochen | 1-3 h | 1 Tag bis mehrere Wochen |
Participantsdifferent | 1-5 Modellierende, Stakeholder asynchron | 2-6 researchers plus sample | 2-8 | 4-10 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop |
Outputdifferent | Simulation Model, Scenario Reports | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Causal Loop Diagram, Feedback Notes, Leverage Points | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | Systems thinkingDynamicsSimulationAnalysis | OutcomesInnovationResearchQuantitative | FeedbackSystems thinkingCausalityDynamics | InnovationPrototypeResearch |