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| Criterion |  Product Discovery Outcome-Driven Innovation |  UX Research Surveys |  UX Research User Interviews |  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 teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. | 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 | Low | High |
Timedifferent | Mehrere Wochen | 3-14 Tage | 30–60 min per interview | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-6 researchers plus sample | 50+ | 1 participant per interview | 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 | Interview Notes, Themes, Insight Summary | Problem Statement, Prototype, Test Learnings |
Tags1 shared | OutcomesInnovationResearchQuantitative | QuantitativeResearchValidation | QualitativeResearchCustomerDiscovery | InnovationPrototypeResearch |