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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of Hooked Model with its method-specific working model.
Growth
Hooked Model
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream 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 delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible.
Complexitydifferent
HighMediumMedium
Timedifferent
30-90 min Setup, danach laufendMultiple workshops over several weeks1-3 h
Participantsdifferent
1-82-84-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationHooked loop, Trigger map, Reward design, Ethics checkCurrent-state map, Future-state map, Bottleneck list
Tagsno overlap
ForecastingFlowDelivery
GrowthBehaviorRetention
LeanFlowWasteDelivery
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