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| Criterion |  Product Discovery Problem Interview |  Knowledge Modeling Event Modeling |  UX Research Affinity Diagramming |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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. | Event Modeling connects business workflows with commands, events, and views into one coherent mental model. It helps design behavior, UI, and technical slices from the same underlying logic. | 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 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 | Medium | Medium | Low | Low |
Timedifferent | 30-60 min je Interview | 2-6 h | 45–90 min | 30-60 min |
Participantsdifferent | 5-12 Interviews | 2-8 | 3-10 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Problem Evidence, Risk Notes, Customer Segments | Event Model, UI Flow, Commands, Read Models | Theme clusters, Insight statements, Opportunity areas | Completed Experiment Canvas, Success Metric |
Tagsno overlap | DiscoveryInterviewsValidation | EventsBlueprintDomain-Driven DesignBehavior | SynthesisQualitativeRoot cause | ExperimentsValidationDiscoveryHypothesis |