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| Criterion |  Innovation Double Diamond |  UX Research Tree Testing |  Innovation Design Thinking |  Product Discovery Outcome-Driven Innovation |
|---|---|---|---|---|
Purposedifferent | For complex problems with a fuzzy situation, the method cleanly separates search space and decision. It first creates breadth in understanding and then focus in elaboration. This brings open questions, problem definition, and solution path into a traceable movement. | 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. | 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. |
Complexitydifferent | Medium | Medium | High | High |
Timedifferent | Wochen bis Monate | 1-2 Tage | 1 Tag bis mehrere Wochen | Mehrere Wochen |
Participantsdifferent | 3-12 | Based on research question | 4-10 | 2-6 researchers plus sample |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | Findability Metrics, Path Analysis, Revised IA | Problem Statement, Prototype, Test Learnings | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | ProcessDivergenceInnovation | Information architectureNavigationFindability | InnovationPrototypeResearch | OutcomesInnovationResearchQuantitative |