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| Criterion |  Agile Story Points |  Product Discovery Assumption Mapping |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | When teams want to rate complexity rather than hours, it creates a shared, relative scale. It sorts work by value, risk, and delivery ability. The result is captured as Point Estimates, Reference Stories, and Velocity Data. | 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 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 | Medium | High | Low |
Timedifferent | laufend, 1-5 min je Item | 45-60 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 3-9 | 2-8 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Point Estimates, Reference Stories, Velocity Data | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | EstimationAgileMeasurement | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |