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| Criterion |  Growth Hooked Model |  Decision Making PERT Estimation |  Delivery Monte Carlo Forecasting |
|---|---|---|---|
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. | On complex initiatives, a plain average tends to understate just how uncertain the outcome really is. It separates options, evaluation criteria, and open risks. The result is captured as a PERT Estimate, Expected Value, and Risk Notes. | 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 | Multiple workshops over several weeks | 15-45 min | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-8 | 1-8 | 1-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | PERT Estimate, Expected Value, Risk Notes | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | GrowthBehaviorRetention | EstimationUncertaintyRisk | ForecastingFlowDelivery |
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