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| Criterion |  Product Discovery Outcome-Driven Innovation |  Innovation Design Thinking |  Product Discovery Solution Interview |  UX Research Surveys |
|---|---|---|---|---|
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. | 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. | When a solution idea is already on the table, it checks how it is understood and evaluated. It looks for resonance, objections, and missing fit early in the conversation. | 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. |
Complexitydifferent | High | High | Medium | Medium |
Timedifferent | Mehrere Wochen | 1 Tag bis mehrere Wochen | 30-60 min je Interview | 3-14 Tage |
Participantsdifferent | 2-6 researchers plus sample | 4-10 | 5-10 Interviews | 50+ |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings | Solution Feedback, Objection List, Validation Notes | Survey Results, Charts, Segment Insights |
Tagsno overlap | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch | ValidationInterviewsPrototype | QuantitativeResearchValidation |