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| Criterion |  Growth A/B Testing |  Product Discovery Smoke Test |  Agile Example Mapping |  Agile Specification by Example |
|---|---|---|---|---|
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 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 story carries business rules and exceptions, it brings clarity before implementation. It makes examples, open questions, and boundaries visible enough that the logic becomes jointly sound. | 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. |
Complexitydifferent | High | Low | Low | Medium |
Timedifferent | 1-4 Wochen | 1-5 Tage | 30-60 min | 60-90 min pro Feature |
Participantsdifferent | 1-6 | Nutzertraffic | 3-7 | 3-6 |
Formatdifferent | Async | Async | Workshop | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note | Example Map, Acceptance Criteria, Open Questions | Example Table, Acceptance Tests |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth | Behavior-Driven DevelopmentRequirementsExamplesRefinement | AgileRequirementsExamplesBehavior-Driven Development |