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| Criterion |  Agile NoEstimates |  Product Discovery Smoke Test |  Product Discovery MVP Test Matrix |  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 several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. | 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 | 45-75 min | 1-4 Wochen |
Participantsdifferent | 2-12 | Nutzertraffic | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | Interest Metrics, Conversion Signal, Learning Note | Test Matrix, Test Plan | Experiment results, Decision log, Learning summary |
Tagsno overlap | EstimationForecastingFlow | ValidationExperimentsDemandGrowth | ExperimentsValidationDiscoveryOptions | ExperimentsGrowthAnalyticsValidation |