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| Criterion | ![]() Product Discovery Solution Interview | ![]() UX Research Card Sorting | ![]() Product Discovery Outcome-Driven Innovation | ![]() Innovation Design Sprint |
|---|---|---|---|---|
Purposedifferent | 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 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. | 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 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. |
Complexitydifferent | Medium | Low | High | High |
Timedifferent | 30-60 min je Interview | 20-45 min | Mehrere Wochen | 4-5 Tage |
Participantsdifferent | 5-10 Interviews | Based on research question | 2-6 researchers plus sample | 5-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Solution Feedback, Objection List, Validation Notes | Content groups, Label set, IA hypotheses | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | ValidationInterviewsPrototype | Information architectureNavigationStructure | OutcomesInnovationResearchQuantitative | Design sprintPrototypeValidationInnovation |



