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 |  Delivery Monte Carlo Forecasting |  Operations Gemba Walk |
|---|---|---|---|
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. | 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. | When there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions. |
Complexitydifferent | Low | High | Low |
Timedifferent | 1 h bis mehrere Wochen | 30-90 min Setup, danach laufend | 30-120 min |
Participantsdifferent | 1-8 | 1-8 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Forecast Percentiles, Throughput Dataset, Risk Communication | Observation Notes, Improvement Ideas |
Tagsno overlap | Continuous improvementLeanExperiments | ForecastingFlowDelivery | LeanObservationProcessOperations |
Often compared together
Methods with strong topical overlap with the current selection, not yet in the comparison.
