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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
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.
Complexitydifferent
MediumMediumHigh
Timedifferent
60-120 min10-30 min je Item30-90 min Setup, danach laufend
Participantsdifferent
3-81-81-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Flywheel Map, Friction Points, Growth Levers, Experiment BacklogThree-Point Estimate, Risk Range, Assumption NotesForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
GrowthRetentionConversion
EstimationUncertaintyForecasting
ForecastingFlowDelivery
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