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| Criterion |  UX Research Tree Testing |  Innovation TRIZ |  Innovation Design Thinking |  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 technical contradictions or trade-offs, the method looks for solutions that resolve opposing requirements at the same time. It translates limits into an explicit picture of conflict that becomes workable. This produces not just compromises but more elegant principles. | 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 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 | High | High |
Timedifferent | 1-2 Tage | 1-4 h | 1 Tag bis mehrere Wochen | 4-5 Tage |
Participantsdifferent | Based on research question | 2-8 | 4-10 | 5-8 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Contradiction Statement, Inventive Principles, Solution Concepts | Problem Statement, Prototype, Test Learnings | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | Information architectureNavigationFindability | InnovationProblem solvingContradictionsCreativity | InnovationPrototypeResearch | Design sprintPrototypeValidationInnovation |