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Criterion
Paper illustration of Hooked Model with its method-specific working model.
Growth
Hooked Model
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment.The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.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.
Complexitydifferent
MediumMediumLowHigh
Timedifferent
Multiple workshops over several weeks1-2 Wochen20-35 min1-4 Wochen
Participantsdifferent
2-81-61-51-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Hooked loop, Trigger map, Reward design, Ethics checkExperiment card, Result summary, Next betTest Card with a pre-set thresholdExperiment results, Decision log, Learning summary
Tagsno overlap
GrowthBehaviorRetention
MarketingGrowthExperimentsLearning
ExperimentsValidationDiscoveryHypothesis
ExperimentsGrowthAnalyticsValidation
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