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| Criterion | ![]() Product Discovery Problem Interview | ![]() Innovation Design Thinking | ![]() UX Research Affinity Diagramming | ![]() Innovation Design Sprint |
|---|---|---|---|---|
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 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 | High | Low | High |
Timedifferent | 30-60 min je Interview | 1 Tag bis mehrere Wochen | 45–90 min | 4-5 Tage |
Participantsdifferent | 5-12 Interviews | 4-10 | 3-10 | 5-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop |
Outputdifferent | Problem Evidence, Risk Notes, Customer Segments | Problem Statement, Prototype, Test Learnings | Theme clusters, Insight statements, Opportunity areas | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | DiscoveryInterviewsValidation | InnovationPrototypeResearch | SynthesisQualitativeRoot cause | Design sprintPrototypeValidationInnovation |



