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| Criterion |  UX Research Surveys |  Product Discovery Outcome-Driven Innovation |  Decision Making Argument Mapping |  Innovation Design Thinking |
|---|---|---|---|---|
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. | 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 statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on. | 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 | Medium | High | Medium | High |
Timedifferent | 3-14 Tage | Mehrere Wochen | 1-3 h | 1 Tag bis mehrere Wochen |
Participantsdifferent | 50+ | 2-6 researchers plus sample | 1-8 | 4-10 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Survey Results, Charts, Segment Insights | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Argument Map, Evidence Gaps, Decision Rationale | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | QuantitativeResearchValidation | OutcomesInnovationResearchQuantitative | SensemakingDecisionRationale | InnovationPrototypeResearch |