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Criterion
Paper illustration for Waste Analysis.
Operations
Waste Analysis
Paper illustration of Hooked Model with its method-specific working model.
Growth
Hooked Model
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
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.
Complexitydifferent
LowMediumHigh
Timedifferent
45-120 minMultiple workshops over several weeks30-90 min Setup, danach laufend
Participantsdifferent
2-82-81-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Waste Map, Prioritized Waste, Improvement BacklogHooked loop, Trigger map, Reward design, Ethics checkForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
WasteLeanProcess improvement
GrowthBehaviorRetention
ForecastingFlowDelivery
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