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| Criterion |  Delivery Monte Carlo Forecasting |  Growth Flywheel |  Growth Hooked Model |
|---|---|---|---|
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. | 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. | 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. |
Complexitydifferent | High | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 60-120 min | Multiple workshops over several weeks |
Participantsdifferent | 1-8 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Hooked loop, Trigger map, Reward design, Ethics check |
Tagsno overlap | ForecastingFlowDelivery | GrowthRetentionConversion | GrowthBehaviorRetention |
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