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Criterion
Paper illustration of Hooked Model with its method-specific working model.
Growth
Hooked Model
Paper illustration for NoEstimates.
Agile
NoEstimates
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
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.When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules.When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.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
MediumMediumMediumHigh
Timedifferent
Multiple workshops over several weekslaufend1-3 h30-90 min Setup, danach laufend
Participantsdifferent
2-82-121-51-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Hooked loop, Trigger map, Reward design, Ethics checkThroughput Data, Flow Forecast, Slicing RulesFunnel report, Drop-off analysis, Optimization hypothesesForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
GrowthBehaviorRetention
EstimationForecastingFlow
AnalyticsConversionGrowth
ForecastingFlowDelivery
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