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| Criterion |  Product Discovery Hypothesis Prioritization Canvas |  UX Research Affinity Diagramming |  Product Discovery Experiment Canvas |
|---|---|---|---|
Purposedifferent | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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 | Low | Low |
Timedifferent | 60-90 min | 45–90 min | 30-60 min |
Participantsdifferent | 3-8 | 3-10 | 1-5 |
Formatdifferent | Workshop | Workshop | Workshop + async |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | Theme clusters, Insight statements, Opportunity areas | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | SynthesisQualitativeRoot cause | ExperimentsValidationDiscoveryHypothesis |
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