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| Criterion | ![]() Operations Waste Analysis | ![]() Growth Hooked Model | ![]() Delivery Monte Carlo Forecasting | ![]() Growth Flywheel |
|---|---|---|---|---|
Purposedifferent | For a process that keeps people busy but creates little value, the method exposes waste. It directs attention to unnecessary movement, waiting times, rework, and overdelivery. | 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 | Low | Medium | High | Medium |
Timedifferent | 45-120 min | Multiple workshops over several weeks | 30-90 min Setup, danach laufend | 60-120 min |
Participantsdifferent | 2-8 | 2-8 | 1-8 | 3-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Waste Map, Prioritized Waste, Improvement Backlog | Hooked loop, Trigger map, Reward design, Ethics check | Forecast Percentiles, Throughput Dataset, Risk Communication | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog |
Tagsno overlap | WasteLeanProcess improvement | GrowthBehaviorRetention | ForecastingFlowDelivery | GrowthRetentionConversion |



