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| Criterion | ![]() Product Discovery Problem Interview | ![]() Innovation Design Thinking | ![]() UX Research Affinity Diagramming | ![]() Product Discovery Solution Interview |
|---|---|---|---|---|
Purposedifferent | When the picture of the problem still needs to become solid, it asks about real situations and consequences. It separates genuine suffering from mere interest in a solution. | 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 research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | 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 | Medium | High | Low | Medium |
Timedifferent | 30-60 min je Interview | 1 Tag bis mehrere Wochen | 45–90 min | 30-60 min je Interview |
Participantsdifferent | 5-12 Interviews | 4-10 | 3-10 | 5-10 Interviews |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Problem Evidence, Risk Notes, Customer Segments | Problem Statement, Prototype, Test Learnings | Theme clusters, Insight statements, Opportunity areas | Solution Feedback, Objection List, Validation Notes |
Tagsno overlap | DiscoveryInterviewsValidation | InnovationPrototypeResearch | SynthesisQualitativeRoot cause | ValidationInterviewsPrototype |



