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| Criterion |  UX Research Affinity Diagramming |  Product Discovery Concierge MVP |  Product Discovery Problem Interview |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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 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 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. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Low | Medium | Medium | Low |
Timedifferent | 45–90 min | 1-4 Wochen | 30-60 min je Interview | 30-60 min |
Participantsdifferent | 3-10 | 3-10 Kunden | 5-12 Interviews | 1-5 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Concierge Learnings, Service Blueprint, MVP Risks | Problem Evidence, Risk Notes, Customer Segments | Completed Experiment Canvas, Success Metric |
Tagsno overlap | SynthesisQualitativeRoot cause | MVPValidationServiceDiscovery | DiscoveryInterviewsValidation | ExperimentsValidationDiscoveryHypothesis |