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| Criterion | ![]() Agile NoEstimates | ![]() Growth A/B Testing | ![]() Growth Pirate Metrics AARRR | ![]() Product Discovery Smoke Test |
|---|---|---|---|---|
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 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. | For products with complex usage paths, overall growth alone is too coarse to reveal bottlenecks. Pirate Metrics breaks the relationship with the product into consecutive stages and shows where the funnel actually leaks. | 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 | laufend | 1-4 Wochen | 1-2 h Setup, laufend | 1-5 Tage |
Participantsdifferent | 2-12 | 1-6 | 2-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | Experiment results, Decision log, Learning summary | AARRR funnel, Metric baseline, Experiment backlog | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | EstimationForecastingFlow | ExperimentsGrowthAnalyticsValidation | GrowthMetricsExperiments | ValidationExperimentsDemandGrowth |



