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| Criterion |  Product Discovery Outcome-Driven Innovation |  UX Research Card Sorting |  Innovation Design Thinking |  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. | 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. | 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 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 | Low | High | Medium |
Timedifferent | Mehrere Wochen | 20-45 min | 1 Tag bis mehrere Wochen | 3-14 Tage |
Participantsdifferent | 2-6 researchers plus sample | Based on research question | 4-10 | 50+ |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Content groups, Label set, IA hypotheses | Problem Statement, Prototype, Test Learnings | Survey Results, Charts, Segment Insights |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Information architectureNavigationStructure | InnovationPrototypeResearch | QuantitativeResearchValidation |