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| Criterion |  Operations PDCA Cycle |  Decision Making Force Field Analysis |  Growth Growth Experiment |
|---|---|---|---|
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. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. | 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. |
Complexitydifferent | Low | Low | Medium |
Timedifferent | 1 h bis mehrere Wochen | 45-90 min | 1-2 Wochen |
Participantsdifferent | 1-8 | 3-12 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Force Field Map, Change Levers, Risk Notes | Experiment card, Result summary, Next bet |
Tagsno overlap | Continuous improvementLeanExperiments | ChangeDecisionStrategy | MarketingGrowthExperimentsLearning |
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