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Criterion
Paper illustration of Hooked Model with its method-specific working model.
Growth
Hooked Model
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
Paper illustration for Flywheel.
Growth
Flywheel
Purposedifferent
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.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.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
MediumHighMediumMedium
Timedifferent
Multiple workshops over several weeks30-90 min Setup, danach laufend10-30 min je Item60-120 min
Participantsdifferent
2-81-81-83-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Hooked loop, Trigger map, Reward design, Ethics checkForecast Percentiles, Throughput Dataset, Risk CommunicationThree-Point Estimate, Risk Range, Assumption NotesFlywheel Map, Friction Points, Growth Levers, Experiment Backlog
Tagsno overlap
GrowthBehaviorRetention
ForecastingFlowDelivery
EstimationUncertaintyForecasting
GrowthRetentionConversion
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