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| Criterion |  Delivery Monte Carlo Forecasting |  Growth North Star Metric |  Growth Funnel Analysis |
|---|---|---|---|
Purposedifferent | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. | 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. |
Complexitydifferent | High | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 1-2 h | 1-3 h |
Participantsdifferent | 1-8 | 3-8 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | North Star metric, Input metric tree, Measurement cadence | Funnel report, Drop-off analysis, Optimization hypotheses |
Tagsno overlap | ForecastingFlowDelivery | GrowthMetricsAlignmentRetention | AnalyticsConversionGrowth |
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