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| Criterion |  Systems Thinking Soft Systems Methodology |  Product Discovery Outcome-Driven Innovation |  UX Research Surveys |  Innovation Design Thinking |
|---|---|---|---|---|
Purposedifferent | Soft Systems Methodology helps explore unclear or politically charged problems systematically. Instead of forcing a quick answer, the method builds a shared understanding of perspectives and room for action. | 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 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. | 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 | 0.5-3 Tage | Mehrere Wochen | 3-14 Tage | 1 Tag bis mehrere Wochen |
Participantsdifferent | 5-15 | 2-6 researchers plus sample | 50+ | 4-10 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop |
Outputdifferent | Rich Picture, Root Definitions, Conceptual Models, Change Agenda | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Survey Results, Charts, Segment Insights | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | Soft systemsComplexitySensemakingSystems thinking | OutcomesInnovationResearchQuantitative | QuantitativeResearchValidation | InnovationPrototypeResearch |