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| Criterion |  Agile Scrum |  Agile NoEstimates |  Product Discovery Smoke Test |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When a team needs to work in a fixed delivery rhythm, it stabilizes cadence, responsibility, and feedback loops. It makes collaboration reliable across sprint boundaries. | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | 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. |
Complexitydifferent | Medium | Medium | Low | High |
Timedifferent | 1-4 Wochen je Sprint, laufend | laufend | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 3-10 (Scrum Team) | 2-12 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Product Backlog, Sprint Backlog, Increment, Sprint Goal | Throughput Data, Flow Forecast, Slicing Rules | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | AgileIterationCadence | EstimationForecastingFlow | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |