View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  UX Research Personas |  Product Discovery Outcome-Driven Innovation |  UX Research Card Sorting |  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. | 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. | 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 | High | Low | Medium |
Timedifferent | 1-3 Tage | Mehrere Wochen | 20-45 min | 1-2 Tage |
Participantsdifferent | Internes Team | 2-6 researchers plus sample | Based on research question | Based on research question |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Persona Profiles, Needs Summary, Scenario Notes | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Content groups, Label set, IA hypotheses | Findability Metrics, Path Analysis, Revised IA |
Tagsno overlap | ResearchCustomerSynthesis | OutcomesInnovationResearchQuantitative | Information architectureNavigationStructure | Information architectureNavigationFindability |