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| Criterion |  UX Research Personas |  UX Research Card Sorting |  Product Discovery Outcome-Driven Innovation |  UX Research Tree Testing |
|---|---|---|---|---|
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 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. | 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 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. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | 1-3 Tage | 20-45 min | Mehrere Wochen | 1-2 Tage |
Participantsdifferent | Internes Team | Based on research question | 2-6 researchers plus sample | Based on research question |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Persona Profiles, Needs Summary, Scenario Notes | Content groups, Label set, IA hypotheses | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Findability Metrics, Path Analysis, Revised IA |
Tagsno overlap | ResearchCustomerSynthesis | Information architectureNavigationStructure | OutcomesInnovationResearchQuantitative | Information architectureNavigationFindability |