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| Criterion | ![]() Growth A/B Testing | ![]() Product Discovery Experiment Canvas | ![]() Product Discovery Smoke Test |
|---|---|---|---|
Purposedifferent | 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. | 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. |
Complexitydifferent | High | Low | Low |
Timedifferent | 1-4 Wochen | 30-60 min | 1-5 Tage |
Participantsdifferent | 1-6 | 1-5 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric | Interest Metrics, Conversion Signal, Learning Note |
Tags2 shared | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandGrowth |
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