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| Criterion |  UX Research Affinity Diagramming |  Product Discovery Problem Interview |  Product Discovery MVP Test Matrix |  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 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 several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. | 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 | 30-60 min je Interview | 45-75 min | 30-60 min |
Participantsdifferent | 3-10 | 5-12 Interviews | 2-8 | 1-5 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Problem Evidence, Risk Notes, Customer Segments | Test Matrix, Test Plan | Completed Experiment Canvas, Success Metric |
Tagsno overlap | SynthesisQualitativeRoot cause | DiscoveryInterviewsValidation | ExperimentsValidationDiscoveryOptions | ExperimentsValidationDiscoveryHypothesis |