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| Criterion |  Systems Thinking System Dynamics Simulation |  UX Research Surveys |  Product Discovery Outcome-Driven Innovation |  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. | 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. | 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 | Medium | High | High |
Timedifferent | Mehrere Tage bis Wochen | 3-14 Tage | Mehrere Wochen | 4-5 Tage |
Participantsdifferent | 1-5 Modellierende, Stakeholder asynchron | 50+ | 2-6 researchers plus sample | 5-8 |
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 | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | Systems thinkingDynamicsSimulationAnalysis | QuantitativeResearchValidation | OutcomesInnovationResearchQuantitative | Design sprintPrototypeValidationInnovation |