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| Criterion |  Agile Ideal Days |  Operations PDCA Cycle |  Growth A/B Testing |  Facilitation Dot Estimation |
|---|---|---|---|---|
Purposedifferent | 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. | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | 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. |
Complexitydifferent | Low | Low | High | Low |
Timedifferent | 15-60 min | 1 h bis mehrere Wochen | 1-4 Wochen | 5-20 min |
Participantsdifferent | 2-9 | 1-8 | 1-6 | 3-20 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop |
Outputdifferent | Ideal Day Estimates, Assumption Notes, Capacity Caveats | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Experiment results, Decision log, Learning summary | Effort Heatmap, Risk Signals, Discussion Targets |
Tagsno overlap | EstimationEffortAgile | Continuous improvementLeanExperiments | ExperimentsGrowthAnalyticsValidation | EstimationEffortRisk |