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| Criterion | ![]() Operations Visual Management | ![]() Growth Funnel Analysis | ![]() Delivery Cost of Delay | ![]() 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. | Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence. | 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 | 90-180 min | 1-4 Wochen |
Participantsdifferent | 1-20 | 1-5 | 3-8 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Visual Board, Status Indicators, Exception Cues | Funnel report, Drop-off analysis, Optimization hypotheses | CoD Table, Prioritization Sequence | Experiment results, Decision log, Learning summary |
Tagsno overlap | SignalsOperationsVisual management | AnalyticsConversionGrowth | PrioritizationDeliveryEconomicsDecision | ExperimentsGrowthAnalyticsValidation |



