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| Criterion |  Product Discovery Outcome-Driven Innovation |  UX Research Surveys |  UX Research Personas |  Innovation Design Thinking |
|---|---|---|---|---|
Purposedifferent | 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 topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. | 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. | 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 | High | Medium | Medium | High |
Timedifferent | Mehrere Wochen | 3-14 Tage | 1-3 Tage | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-6 researchers plus sample | 50+ | Internes Team | 4-10 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Survey Results, Charts, Segment Insights | Persona Profiles, Needs Summary, Scenario Notes | Problem Statement, Prototype, Test Learnings |
Tags1 shared | OutcomesInnovationResearchQuantitative | QuantitativeResearchValidation | ResearchCustomerSynthesis | InnovationPrototypeResearch |