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| Criterion |  Innovation Double Diamond |  UX Research Tree Testing |  Innovation Lean Startup |  Innovation Design Sprint |
|---|---|---|---|---|
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 uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | 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 | Medium | High |
Timedifferent | Wochen bis Monate | 1-2 Tage | Wochen bis Monate je Lernzyklus | 4-5 Tage |
Participantsdifferent | 3-12 | Based on research question | 2-8 | 5-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop |
Outputdifferent | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | Findability Metrics, Path Analysis, Revised IA | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | ProcessDivergenceInnovation | Information architectureNavigationFindability | LeanStartupValidationMVP | Design sprintPrototypeValidationInnovation |