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| Criterion |  UX Research Affinity Diagramming |  Product Discovery Solution Interview |  Product Discovery Concierge MVP |  Product Discovery Wizard of Oz Test |
|---|---|---|---|---|
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 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 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. | When a new experience would still be too expensive to automate for real, it simulates the outcome behind the scenes. It checks user reaction and value before the technology disappears. |
Complexitydifferent | Low | Medium | Medium | High |
Timedifferent | 45–90 min | 30-60 min je Interview | 1-4 Wochen | 2-10 Tage |
Participantsdifferent | 3-10 | 5-10 Interviews | 3-10 Kunden | 5-20 Nutzer |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Solution Feedback, Objection List, Validation Notes | Concierge Learnings, Service Blueprint, MVP Risks | Prototype Learnings, Manual Effort Notes, Risk List |
Tagsno overlap | SynthesisQualitativeRoot cause | ValidationInterviewsPrototype | MVPValidationServiceDiscovery | PrototypeValidationMVP |