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| Criterion |  UX Research Tree Testing |  Innovation Design Thinking |  UX Research Surveys |  Innovation Design Sprint |
|---|---|---|---|---|
Purposedifferent | 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. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | 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 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 | High | Medium | High |
Timedifferent | 1-2 Tage | 1 Tag bis mehrere Wochen | 3-14 Tage | 4-5 Tage |
Participantsdifferent | Based on research question | 4-10 | 50+ | 5-8 |
Formatdifferent | Async | Workshop | Async | Workshop |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Problem Statement, Prototype, Test Learnings | Survey Results, Charts, Segment Insights | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | Information architectureNavigationFindability | InnovationPrototypeResearch | QuantitativeResearchValidation | Design sprintPrototypeValidationInnovation |