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| Criterion |  Systems Thinking System Dynamics Simulation |  Innovation Design Thinking |  Systems Thinking Stock and Flow Diagram |  Product Discovery Outcome-Driven Innovation |
|---|---|---|---|---|
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 Stock and Flow Diagram shows how stocks, inflows, and outflows shape a system over time. It is especially suited when growth, delays, or capacity limits determine the dynamics. | 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. |
Complexitysame | High | High | High | High |
Timedifferent | Mehrere Tage bis Wochen | 1 Tag bis mehrere Wochen | 2-6 h | Mehrere Wochen |
Participantsdifferent | 1-5 Modellierende, Stakeholder asynchron | 4-10 | 1-6 | 2-6 researchers plus sample |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Simulation Model, Scenario Reports | Problem Statement, Prototype, Test Learnings | Stock and Flow Model, Dynamics Notes, Simulation Hypotheses | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | Systems thinkingDynamicsSimulationAnalysis | InnovationPrototypeResearch | DynamicsSimulationFeedbackSystems thinking | OutcomesInnovationResearchQuantitative |