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| Criterion |  UX Research Affinity Diagramming |  Product Discovery Smoke Test |  UX Research Empathy 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | When a lot is assumed about a target group but little is seen jointly, empathy mapping makes knowledge and gaps directly comparable. The picture also shows which assumptions hold up and where evidence is missing. | 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. |
Complexitysame | Low | Low | Low | Low |
Timedifferent | 45–90 min | 1-5 Tage | 30–60 min | 30-60 min |
Participantsdifferent | 3-10 | Nutzertraffic | 4-8 | 1-5 |
Formatdifferent | Workshop | Async | Workshop | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Interest Metrics, Conversion Signal, Learning Note | Empathy Map, Assumptions List, Research Gaps | Completed Experiment Canvas, Success Metric |
Tagsno overlap | SynthesisQualitativeRoot cause | ValidationExperimentsDemandGrowth | SynthesisQualitativeWorkshop | ExperimentsValidationDiscoveryHypothesis |