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| Criterion |  Growth A/B Testing |  Growth Funnel Analysis |  Delivery Cost of Delay |  Product Strategy ICE Scoring |
|---|---|---|---|---|
Purposedifferent | 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. | 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 ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. |
Complexitydifferent | High | Medium | High | Low |
Timedifferent | 1-4 Wochen | 1-3 h | 90-180 min | 30-60 min |
Participantsdifferent | 1-6 | 1-5 | 3-8 | 2-8 |
Formatdifferent | Async | Async | Workshop | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Funnel report, Drop-off analysis, Optimization hypotheses | CoD Table, Prioritization Sequence | ICE Table, Top Idea List |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | AnalyticsConversionGrowth | PrioritizationDeliveryEconomicsDecision | PrioritizationScoringGrowthDecision |