View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Operations PDCA Cycle |  Decision Making Three-Point Estimation |  Delivery Monte Carlo Forecasting |  Operations Kaizen Event |
|---|---|---|---|---|
Purposedifferent | 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. | A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. | For a tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments. |
Complexitydifferent | Low | Medium | High | Medium |
Timedifferent | 1 h bis mehrere Wochen | 10-30 min je Item | 30-90 min Setup, danach laufend | 0.5-5 Tage |
Participantsdifferent | 1-8 | 1-8 | 1-8 | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Three-Point Estimate, Risk Range, Assumption Notes | Forecast Percentiles, Throughput Dataset, Risk Communication | Kaizen Charter, Waste List, Improvement Experiments, Standard Work Update |
Tagsno overlap | Continuous improvementLeanExperiments | EstimationUncertaintyForecasting | ForecastingFlowDelivery | LeanContinuous improvementOperations |