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| Criterion |  Product Discovery Assumption Mapping |  Growth A/B Testing |  Agile Specification by Example |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | Medium | High | Medium | Low |
Timedifferent | 45-60 min | 1-4 Wochen | 60-90 min pro Feature | 1-5 Tage |
Participantsdifferent | 2-8 | 1-6 | 3-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary | Example Table, Acceptance Tests | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation | AgileRequirementsExamplesBehavior-Driven Development | ValidationExperimentsDemandGrowth |