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| Criterion | ![]() UX Research Surveys | ![]() Systems Thinking Soft Systems Methodology | ![]() Product Discovery Outcome-Driven Innovation | ![]() Decision Making Cynefin Workshop |
|---|---|---|---|---|
Purposedifferent | 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. | 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 problems are unclear, chaotic, or only seemingly familiar, standard recipes fall short. A Cynefin Workshop sorts situations by the nature of their problem and connects them with matching action logic. |
Complexitydifferent | Medium | High | High | Medium |
Timedifferent | 3-14 Tage | 0.5-3 Tage | Mehrere Wochen | 60-180 min |
Participantsdifferent | 50+ | 5-15 | 2-6 researchers plus sample | 4-20 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop |
Outputdifferent | Survey Results, Charts, Segment Insights | Rich Picture, Root Definitions, Conceptual Models, Change Agenda | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Cynefin Map, Domain-specific Actions, Sensemaking Notes |
Tagsno overlap | QuantitativeResearchValidation | Soft systemsComplexitySensemakingSystems thinking | OutcomesInnovationResearchQuantitative | ComplexitySensemakingDecision |



