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| Criterion |  Operations PDCA Cycle |  Operations DMAIC |  Agile NoEstimates |
|---|---|---|---|
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. | For a process problem with fluctuating performance, the method brings analysis and improvement into a disciplined sequence. It creates a framework in which numbers, causes, and control come together. | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. |
Complexitydifferent | Low | High | Medium |
Timedifferent | 1 h bis mehrere Wochen | 2-12 Wochen | laufend |
Participantsdifferent | 1-8 | 3-10 | 2-12 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Project Charter, Measurement Plan, Cause Analysis, Control Plan | Throughput Data, Flow Forecast, Slicing Rules |
Tagsno overlap | Continuous improvementLeanExperiments | Continuous improvementQualityProcess improvement | EstimationForecastingFlow |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
