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| Criterion | ![]() UX Research Affinity Diagramming | ![]() Product Discovery Problem Interview | ![]() Innovation Design Thinking | ![]() Product Discovery Concierge MVP |
|---|---|---|---|---|
Purposedifferent | 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 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 an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. |
Complexitydifferent | Low | Medium | High | Medium |
Timedifferent | 45–90 min | 30-60 min je Interview | 1 Tag bis mehrere Wochen | 1-4 Wochen |
Participantsdifferent | 3-10 | 5-12 Interviews | 4-10 | 3-10 Kunden |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Problem Evidence, Risk Notes, Customer Segments | Problem Statement, Prototype, Test Learnings | Concierge Learnings, Service Blueprint, MVP Risks |
Tagsno overlap | SynthesisQualitativeRoot cause | DiscoveryInterviewsValidation | InnovationPrototypeResearch | MVPValidationServiceDiscovery |



