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| Criterion |  Agile Story Points |  Growth A/B Testing |  Facilitation Dot Estimation |  Agile Ideal Days |
|---|---|---|---|---|
Purposedifferent | When teams want to rate complexity rather than hours, it creates a shared, relative scale. It sorts work by value, risk, and delivery ability. The result is captured as Point Estimates, Reference Stories, and Velocity Data. | 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 size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets. | 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. |
Complexitydifferent | Medium | High | Low | Low |
Timedifferent | laufend, 1-5 min je Item | 1-4 Wochen | 5-20 min | 15-60 min |
Participantsdifferent | 3-9 | 1-6 | 3-20 | 2-9 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Point Estimates, Reference Stories, Velocity Data | Experiment results, Decision log, Learning summary | Effort Heatmap, Risk Signals, Discussion Targets | Ideal Day Estimates, Assumption Notes, Capacity Caveats |
Tagsno overlap | EstimationAgileMeasurement | ExperimentsGrowthAnalyticsValidation | EstimationEffortRisk | EstimationEffortAgile |