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| Criterion |  Delivery Monte Carlo Forecasting |  Growth North Star Metric |  Growth Funnel Analysis |  Growth Flywheel |
|---|---|---|---|---|
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. | Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 1-2 h | 1-3 h | 60-120 min |
Participantsdifferent | 1-8 | 3-8 | 1-5 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | North Star metric, Input metric tree, Measurement cadence | Funnel report, Drop-off analysis, Optimization hypotheses | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog |
Tagsno overlap | ForecastingFlowDelivery | GrowthMetricsAlignmentRetention | AnalyticsConversionGrowth | GrowthRetentionConversion |