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| Criterion |  Operations Visual Management |  Growth Funnel Analysis |  Operations Failure Mode and Effects Analysis |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | With high tempo and many parallel topics, the method makes status, deviations, and priorities visible at a glance. It reduces search effort and prevents what matters from getting lost in daily work. | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. | 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 | High | High |
Timedifferent | Ongoing | 1-3 h | 2-6 h | 1-4 Wochen |
Participantsdifferent | 1-20 | 1-5 | 3-10 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Visual Board, Status Indicators, Exception Cues | Funnel report, Drop-off analysis, Optimization hypotheses | FMEA Table, Risk Priority, Mitigation Actions | Experiment results, Decision log, Learning summary |
Tagsno overlap | SignalsOperationsVisual management | AnalyticsConversionGrowth | RiskQualityOperationsRoot cause | ExperimentsGrowthAnalyticsValidation |