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| Criterion |  Product Discovery Outcome-Driven Innovation |  UX Research Card Sorting |  Innovation Design Sprint |  Product Discovery Solution Interview |
|---|---|---|---|---|
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 the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | 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. |
Complexitydifferent | High | Low | High | Medium |
Timedifferent | Mehrere Wochen | 20-45 min | 4-5 Tage | 30-60 min je Interview |
Participantsdifferent | 2-6 researchers plus sample | Based on research question | 5-8 | 5-10 Interviews |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Content groups, Label set, IA hypotheses | Prototype, Test Findings, Decision Rationale | Solution Feedback, Objection List, Validation Notes |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Information architectureNavigationStructure | Design sprintPrototypeValidationInnovation | ValidationInterviewsPrototype |