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Criterion
Paper illustration for Flywheel.
Growth
Flywheel
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of Hooked Model with its method-specific working model.
Growth
Hooked Model
Purposedifferent
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.A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption 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.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.
Complexitydifferent
MediumMediumHighMedium
Timedifferent
60-120 min10-30 min je Item30-90 min Setup, danach laufendMultiple workshops over several weeks
Participantsdifferent
3-81-81-82-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Flywheel Map, Friction Points, Growth Levers, Experiment BacklogThree-Point Estimate, Risk Range, Assumption NotesForecast Percentiles, Throughput Dataset, Risk CommunicationHooked loop, Trigger map, Reward design, Ethics check
Tagsno overlap
GrowthRetentionConversion
EstimationUncertaintyForecasting
ForecastingFlowDelivery
GrowthBehaviorRetention
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