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| Criterion |  UX Research Tree Testing |  Innovation Design Sprint |  Innovation Lean Startup |
|---|---|---|---|
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. | 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. | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. |
Complexitydifferent | Medium | High | Medium |
Timedifferent | 1-2 Tage | 4-5 Tage | Wochen bis Monate je Lernzyklus |
Participantsdifferent | Based on research question | 5-8 | 2-8 |
Formatdifferent | Async | Workshop | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Prototype, Test Findings, Decision Rationale | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision |
Tagsno overlap | Information architectureNavigationFindability | Design sprintPrototypeValidationInnovation | LeanStartupValidationMVP |
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