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| Criterion |  Growth A/B Testing |  Agile Ideal Days |  Product Discovery Smoke Test |
|---|---|---|---|
Purposedifferent | 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 effort needs to be thought of as real working time, it offers a simple common denominator for comparison. It sorts work by value, risk, and delivery ability. The result is captured as Ideal Day Estimates, Assumption Notes, and Capacity Caveats. | 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 | High | Low | Low |
Timedifferent | 1-4 Wochen | 15-60 min | 1-5 Tage |
Participantsdifferent | 1-6 | 2-9 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Ideal Day Estimates, Assumption Notes, Capacity Caveats | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | EstimationEffortAgile | ValidationExperimentsDemandGrowth |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
