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| Criterion |  Operations Change Analysis |  Growth A/B Testing |  Decision Making Force Field Analysis |
|---|---|---|---|
Purposedifferent | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | 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. | 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. |
Complexitydifferent | Medium | High | Low |
Timedifferent | 45-120 min | 1-4 Wochen | 45-90 min |
Participantsdifferent | 2-6 | 1-6 | 3-12 |
Formatdifferent | Workshop + async | Async | Workshop |
Outputdifferent | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Experiment results, Decision log, Learning summary | Force Field Map, Change Levers, Risk Notes |
Tagsno overlap | ChangeRoot causeTroubleshootingComparison | ExperimentsGrowthAnalyticsValidation | ChangeDecisionStrategy |
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