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| Criterion |  UX Research Personas |  UX Research Tree Testing |  Innovation Design Thinking |  Innovation Design Sprint |
|---|---|---|---|---|
Purposedifferent | When target groups stay too vague and teams talk about the same people differently, personas create a shared, solid picture of usage. Condensed profiles make needs, contexts, and differences tangible enough for decisions. | 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 | 1-3 Tage | 1-2 Tage | 1 Tag bis mehrere Wochen | 4-5 Tage |
Participantsdifferent | Internes Team | Based on research question | 4-10 | 5-8 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop |
Outputdifferent | Persona Profiles, Needs Summary, Scenario Notes | Findability Metrics, Path Analysis, Revised IA | Problem Statement, Prototype, Test Learnings | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | ResearchCustomerSynthesis | Information architectureNavigationFindability | InnovationPrototypeResearch | Design sprintPrototypeValidationInnovation |