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| Criterion |  UX Research Surveys |  Innovation Double Diamond |  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. | For complex problems with a fuzzy situation, the method cleanly separates search space and decision. It first creates breadth in understanding and then focus in elaboration. This brings open questions, problem definition, and solution path into a traceable movement. | 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 | Wochen bis Monate | 1-2 Tage | Mehrere Wochen |
Participantsdifferent | 50+ | 3-12 | Based on research question | 2-6 researchers plus sample |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Survey Results, Charts, Segment Insights | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | Findability Metrics, Path Analysis, Revised IA | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | QuantitativeResearchValidation | ProcessDivergenceInnovation | Information architectureNavigationFindability | OutcomesInnovationResearchQuantitative |