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| Criterion |  UX Research Surveys |  UX Research Tree Testing |  Innovation Design Sprint |  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 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. | 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. | 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 | High | High |
Timedifferent | 3-14 Tage | 1-2 Tage | 4-5 Tage | Mehrere Wochen |
Participantsdifferent | 50+ | Based on research question | 5-8 | 2-6 researchers plus sample |
Formatdifferent | Async | Async | Workshop | Workshop + async |
Outputdifferent | Survey Results, Charts, Segment Insights | Findability Metrics, Path Analysis, Revised IA | Prototype, Test Findings, Decision Rationale | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | QuantitativeResearchValidation | Information architectureNavigationFindability | Design sprintPrototypeValidationInnovation | OutcomesInnovationResearchQuantitative |