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| Criterion |  Agile NoEstimates |  Product Strategy Lean Canvas |  Growth A/B Testing |  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 an early product bet still has too many open points, it brings target group, problem, and assumptions into a single view. It condenses the idea so core risks become nameable. | 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 | 45-90 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 2-12 | 1-6 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | Lean Canvas, Core Assumptions, Experiment Backlog | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | EstimationForecastingFlow | StartupLeanAssumptionsBusiness model | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |