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| Criterion |  Operations Visual Management |  Growth Funnel Analysis |  Decision Making Decision Tree |  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 decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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 | Ongoing | 1-3 h | 30-90 min | 1-4 Wochen |
Participantsdifferent | 1-20 | 1-5 | 1-6 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Visual Board, Status Indicators, Exception Cues | Funnel report, Drop-off analysis, Optimization hypotheses | Decision Tree, Option Map, Assumption List | Experiment results, Decision log, Learning summary |
Tagsno overlap | SignalsOperationsVisual management | AnalyticsConversionGrowth | DecisionTreeOptions | ExperimentsGrowthAnalyticsValidation |