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| Criterion | ![]() UX Research Affinity Diagramming | ![]() Product Discovery Problem Interview | ![]() Product Discovery Assumption Mapping | ![]() 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | 45-60 min | 30-60 min |
Participantsdifferent | 3-10 | 5-12 Interviews | 2-8 | 1-5 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Problem Evidence, Risk Notes, Customer Segments | Assumption map, Test backlog, Risk ranking | Completed Experiment Canvas, Success Metric |
Tagsno overlap | SynthesisQualitativeRoot cause | DiscoveryInterviewsValidation | AssumptionsRiskExperimentsValidation | ExperimentsValidationDiscoveryHypothesis |



