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| Criterion |  Operations PDCA Cycle |  Operations ALPEN Method |  Growth A/B Testing |
|---|---|---|---|
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. | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | 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. |
Complexitydifferent | Low | Low | High |
Timedifferent | 1 h bis mehrere Wochen | 10-20 min daily | 1-4 Wochen |
Participantsdifferent | 1-8 | 1 | 1-6 |
Formatdifferent | Workshop + async | Async | Async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Daily Plan, Time Estimates, Review Notes | Experiment results, Decision log, Learning summary |
Tagsno overlap | Continuous improvementLeanExperiments | PlanningTime managementProductivityOperations | ExperimentsGrowthAnalyticsValidation |
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