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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
A paper-based illustration representing North Star Metric with its core stages and visible working result.
Growth
North Star Metric
Paper illustration for Flywheel.
Growth
Flywheel
Paper illustration of Hooked Model with its method-specific working model.
Growth
Hooked Model
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.When product teams track many metrics, the view of the actual customer outcome easily gets lost. A North Star Metric bundles growth, usage, and value contribution into one signal that makes the system's direction visible.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.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
HighMediumMediumMedium
Timedifferent
30-90 min Setup, danach laufend1-2 h60-120 minMultiple workshops over several weeks
Participantsdifferent
1-83-83-82-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationNorth Star metric, Input metric tree, Measurement cadenceFlywheel Map, Friction Points, Growth Levers, Experiment BacklogHooked loop, Trigger map, Reward design, Ethics check
Tagsno overlap
ForecastingFlowDelivery
GrowthMetricsAlignmentRetention
GrowthRetentionConversion
GrowthBehaviorRetention
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