View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  UX Research Surveys |  UX Research Personas |  UX Research Tree 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 navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination. | 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 Tage | Mehrere Wochen |
Participantsdifferent | 50+ | Internes Team | Based on research question | 2-6 researchers plus sample |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Survey Results, Charts, Segment Insights | Persona Profiles, Needs Summary, Scenario Notes | Findability Metrics, Path Analysis, Revised IA | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | QuantitativeResearchValidation | ResearchCustomerSynthesis | Information architectureNavigationFindability | OutcomesInnovationResearchQuantitative |