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| Criterion |  Growth Funnel Analysis |  Growth A/B Testing |  Delivery Cost of Delay |
|---|---|---|---|
Purposedifferent | 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. | 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. | 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. |
Complexitydifferent | Medium | High | High |
Timedifferent | 1-3 h | 1-4 Wochen | 90-180 min |
Participantsdifferent | 1-5 | 1-6 | 3-8 |
Formatdifferent | Async | Async | Workshop |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary | CoD Table, Prioritization Sequence |
Tagsno overlap | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation | PrioritizationDeliveryEconomicsDecision |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
