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| Criterion |  UX Research Tree Testing |  Innovation Contradiction Analysis |  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. | When a system should improve while another measure suffers as a result, the method makes the underlying conflict precisely formulable. It separates the desired effect from its side effect. This makes solutions possible that address the contradiction deliberately instead of half-heartedly. | 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 | Medium | High | High |
Timedifferent | 1-2 Tage | 60-120 min | 1 Tag bis mehrere Wochen | 4-5 Tage |
Participantsdifferent | Based on research question | 2-8 | 4-10 | 5-8 |
Formatdifferent | Async | Workshop | Workshop | Workshop |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Contradiction Statement, Abstraction Notes, Solution Principles, Concept Ideas | Problem Statement, Prototype, Test Learnings | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | Information architectureNavigationFindability | ContradictionsInnovationProblem solving | InnovationPrototypeResearch | Design sprintPrototypeValidationInnovation |