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| Criterion |  Growth Funnel Analysis |  Growth Hooked Model |  Delivery Monte Carlo Forecasting |
|---|---|---|---|
Purposedifferent | 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. | The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design. | 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. |
Complexitydifferent | Medium | Medium | High |
Timedifferent | 1-3 h | Multiple workshops over several weeks | 30-90 min Setup, danach laufend |
Participantsdifferent | 1-5 | 2-8 | 1-8 |
Formatdifferent | Async | Workshop + async | Workshop + async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Hooked loop, Trigger map, Reward design, Ethics check | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | AnalyticsConversionGrowth | GrowthBehaviorRetention | ForecastingFlowDelivery |
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