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| Criterion |  Operations PDCA Cycle |  Operations Process Mapping |  Growth Growth Experiment |  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 a confusing workflow that has many handoffs, the method makes the actual process visible. It shows where work is passed on, delayed, or duplicated, so improvement targets the right spots. | When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | 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 | Medium | Medium | High |
Timedifferent | 1 h bis mehrere Wochen | 1-3 h | 1-2 Wochen | 1-4 Wochen |
Participantsdifferent | 1-8 | 3-10 | 1-6 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Process Map, Handoff List, Improvement Backlog | Experiment card, Result summary, Next bet | Experiment results, Decision log, Learning summary |
Tagsno overlap | Continuous improvementLeanExperiments | ProcessOperationsImprovement | MarketingGrowthExperimentsLearning | ExperimentsGrowthAnalyticsValidation |