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| Criterion |  Systems Thinking System Dynamics Simulation |  UX Research Surveys |  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. | When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. | 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 | Medium | High | Medium |
Timedifferent | Mehrere Tage bis Wochen | 3-14 Tage | Mehrere Wochen | 1-3 h |
Participantsdifferent | 1-5 Modellierende, Stakeholder asynchron | 50+ | 2-6 researchers plus sample | 2-8 |
Formatdifferent | Async | Async | Workshop + async | Workshop |
Outputdifferent | Simulation Model, Scenario Reports | Survey Results, Charts, Segment Insights | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Causal Loop Diagram, Feedback Notes, Leverage Points |
Tagsno overlap | Systems thinkingDynamicsSimulationAnalysis | QuantitativeResearchValidation | OutcomesInnovationResearchQuantitative | FeedbackSystems thinkingCausalityDynamics |