View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Product Discovery Pretotyping |  Product Discovery Smoke Test |  Growth A/B Testing |  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 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 two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | 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 | Low | Low | High | Low |
Timedifferent | Stunden bis wenige Tage | 1-5 Tage | 1-4 Wochen | 30-60 min |
Participantsdifferent | 1-4 | Nutzertraffic | 1-6 | 1-5 |
Formatdifferent | Workshop + async | Async | Async | Workshop + async |
Outputdifferent | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric |
Tags1 shared | ValidationDemandMVP | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis |