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| Criterion | ![]() UX Research Affinity Diagramming | ![]() Product Discovery Pretotyping | ![]() Product Discovery Smoke Test | ![]() UX Research Empathy Mapping |
|---|---|---|---|---|
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. | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. | 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. |
Complexitysame | Low | Low | Low | Low |
Timedifferent | 45–90 min | Stunden bis wenige Tage | 1-5 Tage | 30–60 min |
Participantsdifferent | 3-10 | 1-4 | Nutzertraffic | 4-8 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Interest Metrics, Conversion Signal, Learning Note | Empathy Map, Assumptions List, Research Gaps |
Tagsno overlap | SynthesisQualitativeRoot cause | ValidationDemandMVP | ValidationExperimentsDemandGrowth | SynthesisQualitativeWorkshop |



