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| Criterion |  Innovation Double Diamond |  UX Research Tree Testing |  Innovation Design Thinking |  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 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. | 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 | High | High |
Timedifferent | Wochen bis Monate | 1-2 Tage | 1 Tag bis mehrere Wochen | 4-5 Tage |
Participantsdifferent | 3-12 | Based on research question | 4-10 | 5-8 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop |
Outputdifferent | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | Findability Metrics, Path Analysis, Revised IA | Problem Statement, Prototype, Test Learnings | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | ProcessDivergenceInnovation | Information architectureNavigationFindability | InnovationPrototypeResearch | Design sprintPrototypeValidationInnovation |