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| Criterion |  UX Research Tree Testing |  Innovation Design Thinking |  Innovation Lean Startup |  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. | 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. | 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 | Wochen bis Monate je Lernzyklus | 4-5 Tage |
Participantsdifferent | Based on research question | 4-10 | 2-8 | 5-8 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Problem Statement, Prototype, Test Learnings | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | Information architectureNavigationFindability | InnovationPrototypeResearch | LeanStartupValidationMVP | Design sprintPrototypeValidationInnovation |