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| Criterion |  Innovation Double Diamond |  UX Research Tree Testing |  Product Discovery Outcome-Driven Innovation |  UX Research Card Sorting |
|---|---|---|---|---|
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. | 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 content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | Wochen bis Monate | 1-2 Tage | Mehrere Wochen | 20-45 min |
Participantsdifferent | 3-12 | Based on research question | 2-6 researchers plus sample | Based on research question |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | Findability Metrics, Path Analysis, Revised IA | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Content groups, Label set, IA hypotheses |
Tagsno overlap | ProcessDivergenceInnovation | Information architectureNavigationFindability | OutcomesInnovationResearchQuantitative | Information architectureNavigationStructure |