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| Criterion |  Product Discovery Outcome-Driven Innovation |  UX Research Tree Testing |  Innovation TRIZ |  Innovation Design Thinking |
|---|---|---|---|---|
Purposedifferent | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | 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. |
Complexitydifferent | High | Medium | High | High |
Timedifferent | Mehrere Wochen | 1-2 Tage | 1-4 h | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-6 researchers plus sample | Based on research question | 2-8 | 4-10 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Findability Metrics, Path Analysis, Revised IA | Contradiction Statement, Inventive Principles, Solution Concepts | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Information architectureNavigationFindability | InnovationProblem solvingContradictionsCreativity | InnovationPrototypeResearch |