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| Criterion | ![]() Agile NoEstimates | ![]() Product Discovery Smoke Test | ![]() Product Discovery Assumption Mapping | ![]() Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 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. |
Complexitydifferent | Medium | Low | Medium | High |
Timedifferent | laufend | 1-5 Tage | 45-60 min | 1-4 Wochen |
Participantsdifferent | 2-12 | Nutzertraffic | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | Interest Metrics, Conversion Signal, Learning Note | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | EstimationForecastingFlow | ValidationExperimentsDemandGrowth | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |



