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| Criterion |  UX Research Surveys |  UX Research Personas |  UX Research Usability Testing |  Product Discovery Outcome-Driven Innovation |
|---|---|---|---|---|
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. | When target groups stay too vague and teams talk about the same people differently, personas create a shared, solid picture of usage. Condensed profiles make needs, contexts, and differences tangible enough for decisions. | When a product is built but people get stuck on tasks, usability testing shows the friction at concrete points. Observed use instead of self-report makes visible where orientation, understanding, or interaction breaks down. | 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. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | 3-14 Tage | 1-3 Tage | 1-2 h je Session | Mehrere Wochen |
Participantsdifferent | 50+ | Internes Team | Based on research question | 2-6 researchers plus sample |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Survey Results, Charts, Segment Insights | Persona Profiles, Needs Summary, Scenario Notes | Usability Issues, Severity List, Recommendations | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | QuantitativeResearchValidation | ResearchCustomerSynthesis | ValidationUXPrototype | OutcomesInnovationResearchQuantitative |