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| Criterion | ![]() UX Research Surveys | ![]() UX Research Affinity Diagramming | ![]() Product Discovery Experiment Canvas | ![]() Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
Purposedifferent | When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. | 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. | 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. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 3-14 Tage | 45–90 min | 30-60 min | 60-90 min |
Participantsdifferent | 50+ | 3-10 | 1-5 | 3-8 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop |
Outputdifferent | Survey Results, Charts, Segment Insights | Theme clusters, Insight statements, Opportunity areas | Completed Experiment Canvas, Success Metric | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | QuantitativeResearchValidation | SynthesisQualitativeRoot cause | ExperimentsValidationDiscoveryHypothesis | ExperimentsPrioritizationDiscoveryHypothesis |



