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| Criterion |  Operations PDCA Cycle |  Agile Specification by Example |  Operations DMAIC |  Agile Example Mapping |
|---|---|---|---|---|
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. | When business rules need to become precise, it ties language, example, and test together. It sorts work by value, risk, and delivery ability. The result is captured as an Example Table and Acceptance Tests. | 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 a story carries business rules and exceptions, it brings clarity before implementation. It makes examples, open questions, and boundaries visible enough that the logic becomes jointly sound. |
Complexitydifferent | Low | Medium | High | Low |
Timedifferent | 1 h bis mehrere Wochen | 60-90 min pro Feature | 2-12 Wochen | 30-60 min |
Participantsdifferent | 1-8 | 3-6 | 3-10 | 3-7 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Example Table, Acceptance Tests | Project Charter, Measurement Plan, Cause Analysis, Control Plan | Example Map, Acceptance Criteria, Open Questions |
Tagsno overlap | Continuous improvementLeanExperiments | AgileRequirementsExamplesBehavior-Driven Development | Continuous improvementQualityProcess improvement | Behavior-Driven DevelopmentRequirementsExamplesRefinement |