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| Criterion |  Delivery Cost of Delay |  Growth North Star Metric |  Growth Funnel Analysis |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 product teams track many metrics, the view of the actual customer outcome easily gets lost. A North Star Metric bundles growth, usage, and value contribution into one signal that makes the system's direction visible. | 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 | High | Medium | Medium | High |
Timedifferent | 90-180 min | 1-2 h | 1-3 h | 1-4 Wochen |
Participantsdifferent | 3-8 | 3-8 | 1-5 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Async | Async |
Outputdifferent | CoD Table, Prioritization Sequence | North Star metric, Input metric tree, Measurement cadence | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | PrioritizationDeliveryEconomicsDecision | GrowthMetricsAlignmentRetention | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |