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| Criterion |  Product Discovery Outcome-Driven Innovation |  UX Research Card Sorting |  Product Discovery Solution Interview |  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 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. | 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. | 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 | Low | Medium | High |
Timedifferent | Mehrere Wochen | 20-45 min | 30-60 min je Interview | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-6 researchers plus sample | Based on research question | 5-10 Interviews | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Content groups, Label set, IA hypotheses | Solution Feedback, Objection List, Validation Notes | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Information architectureNavigationStructure | ValidationInterviewsPrototype | InnovationPrototypeResearch |