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Criterion
Paper illustration of Hooked Model with its method-specific working model.
Growth
Hooked Model
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Evaporating Cloud.
Systems Thinking
Evaporating Cloud
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
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 two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
MediumHighMediumLow
Timedifferent
Multiple workshops over several weeks1-4 Wochen60-120 min30-60 min
Participantsdifferent
2-81-62-81-5
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop + async
Outputdifferent
Hooked loop, Trigger map, Reward design, Ethics checkExperiment results, Decision log, Learning summaryConflict Cloud, Assumption List, Breakthrough Ideas, Next ExperimentsCompleted Experiment Canvas, Success Metric
Tagsno overlap
GrowthBehaviorRetention
ExperimentsGrowthAnalyticsValidation
Theory of ConstraintsAssumptionsSystems thinking
ExperimentsValidationDiscoveryHypothesis
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