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| Criterion |  Product Strategy RICE Scoring |  Delivery Cost of Delay |  Growth Funnel Analysis |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable. | 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 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. |
Complexitydifferent | Medium | High | Medium | High |
Timedifferent | 60-90 min | 90-180 min | 1-3 h | 1-4 Wochen |
Participantsdifferent | 2-10 | 3-8 | 1-5 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Async | Async |
Outputdifferent | RICE Scores, Ranked List, Assumption Log | CoD Table, Prioritization Sequence | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | PrioritizationScoringRoadmapTradeoffs | PrioritizationDeliveryEconomicsDecision | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |