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| Criterion | ![]() UX Research Personas | ![]() UX Research Card Sorting | ![]() Product Discovery Outcome-Driven Innovation | ![]() Innovation Design Thinking |
|---|---|---|---|---|
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. | 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. |
Complexitydifferent | Medium | Low | High | High |
Timedifferent | 1-3 Tage | 20-45 min | Mehrere Wochen | 1 Tag bis mehrere Wochen |
Participantsdifferent | Internes Team | Based on research question | 2-6 researchers plus sample | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Persona Profiles, Needs Summary, Scenario Notes | Content groups, Label set, IA hypotheses | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | ResearchCustomerSynthesis | Information architectureNavigationStructure | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch |



