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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
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
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.A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes.
Complexitydifferent
MediumMediumHigh
Timedifferent
Multiple workshops over several weekslaufend1-4 h or multiple rounds
Participantsdifferent
2-82-124-12 Experten
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Hooked loop, Trigger map, Reward design, Ethics checkThroughput Data, Flow Forecast, Slicing RulesEstimate Range, Assumption Log, Expert Consensus Notes
Tagsno overlap
GrowthBehaviorRetention
EstimationForecastingFlow
EstimationExpertsForecasting
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Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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