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| Criterion | ![]() Growth Funnel Analysis | ![]() Delivery MoSCoW | ![]() 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 a release carries too many demands and priorities are only ever negotiated, MoSCoW creates clear boundaries for the next cut. Must, Should, Could, and Won't make commitment, room for maneuver, and trade-off logic visible to everyone involved. | 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 | Low | High | High |
Timedifferent | 1-3 h | 30-90 min | 1-4 Wochen | 90-180 min |
Participantsdifferent | 1-5 | 3-12 | 1-6 | 3-8 |
Formatdifferent | Async | Workshop + async | Async | Workshop |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Prioritized Backlog, Release Scope, Tradeoff Notes | Experiment results, Decision log, Learning summary | CoD Table, Prioritization Sequence |
Tagsno overlap | AnalyticsConversionGrowth | PrioritizationScopeDecision | ExperimentsGrowthAnalyticsValidation | PrioritizationDeliveryEconomicsDecision |



