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| Criterion |  UX Research Surveys |  UX Research Tree Testing |  Product Discovery Outcome-Driven Innovation |  Innovation Design Sprint |
|---|---|---|---|---|
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 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. | When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. |
Complexitydifferent | Medium | Medium | High | High |
Timedifferent | 3-14 Tage | 1-2 Tage | Mehrere Wochen | 4-5 Tage |
Participantsdifferent | 50+ | Based on research question | 2-6 researchers plus sample | 5-8 |
Formatdifferent | Async | Async | Workshop + async | Workshop |
Outputdifferent | Survey Results, Charts, Segment Insights | Findability Metrics, Path Analysis, Revised IA | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | QuantitativeResearchValidation | Information architectureNavigationFindability | OutcomesInnovationResearchQuantitative | Design sprintPrototypeValidationInnovation |