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