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| Criterion |  Delivery Monte Carlo Forecasting |  Growth Hooked Model |  Facilitation Alignment Mapping |
|---|---|---|---|
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. | 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. | When several people work toward one goal but hold different mental maps, Alignment Mapping makes the discrepancies visible. It arranges goals, assumptions, and priorities so shared direction becomes verifiable. |
Complexitydifferent | High | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | Multiple workshops over several weeks | 1-2 h |
Participantsdifferent | 1-8 | 2-8 | 4-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Hooked loop, Trigger map, Reward design, Ethics check | Alignment Map, Open Issues, Decision Questions |
Tagsno overlap | ForecastingFlowDelivery | GrowthBehaviorRetention | AlignmentStakeholdersStrategyFacilitation |
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