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| Criterion |  Product Discovery Concierge MVP |  Innovation Design Thinking |  UX Research Affinity Diagramming |
|---|---|---|---|
Purposedifferent | 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. | 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. |
Complexitydifferent | Medium | High | Low |
Timedifferent | 1-4 Wochen | 1 Tag bis mehrere Wochen | 45–90 min |
Participantsdifferent | 3-10 Kunden | 4-10 | 3-10 |
Formatdifferent | Workshop + async | Workshop | Workshop |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Problem Statement, Prototype, Test Learnings | Theme clusters, Insight statements, Opportunity areas |
Tagsno overlap | MVPValidationServiceDiscovery | InnovationPrototypeResearch | SynthesisQualitativeRoot cause |
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