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| Criterion |  Innovation TRIZ |  UX Research Tree Testing |  Innovation Design Sprint |  Innovation Design Thinking |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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. |
Complexitydifferent | High | Medium | High | High |
Timedifferent | 1-4 h | 1-2 Tage | 4-5 Tage | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-8 | Based on research question | 5-8 | 4-10 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop |
Outputdifferent | Contradiction Statement, Inventive Principles, Solution Concepts | Findability Metrics, Path Analysis, Revised IA | Prototype, Test Findings, Decision Rationale | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | InnovationProblem solvingContradictionsCreativity | Information architectureNavigationFindability | Design sprintPrototypeValidationInnovation | InnovationPrototypeResearch |