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| Criterion |  Product Discovery Smoke Test |  Growth A/B Testing |  Agile Specification by Example |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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 business rules need to become precise, it ties language, example, and test together. It sorts work by value, risk, and delivery ability. The result is captured as an Example Table and Acceptance Tests. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Low | High | Medium | Medium |
Timedifferent | 1-5 Tage | 1-4 Wochen | 60-90 min pro Feature | 1-5 Tage |
Participantsdifferent | Nutzertraffic | 1-6 | 3-6 | Nutzertraffic |
Formatdifferent | Async | Async | Workshop | Async |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary | Example Table, Acceptance Tests | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation | AgileRequirementsExamplesBehavior-Driven Development | ValidationExperimentsDemandDiscovery |