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| Criterion |  Product Discovery Pretotyping |  UX Research Card Sorting |  Product Discovery Smoke Test |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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 content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations. | 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 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 | Stunden bis wenige Tage | 20-45 min | 1-5 Tage | 30-60 min |
Participantsdifferent | 1-4 | Based on research question | Nutzertraffic | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Content groups, Label set, IA hypotheses | Interest Metrics, Conversion Signal, Learning Note | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ValidationDemandMVP | Information architectureNavigationStructure | ValidationExperimentsDemandGrowth | ExperimentsValidationDiscoveryHypothesis |