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Criterion
Paper illustration of Hooked Model with its method-specific working model.
Growth
Hooked Model
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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.ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification.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.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
MediumMediumHighMedium
Timedifferent
Multiple workshops over several weeks2–4 h review as a planning range; preparation and evaluation additional1-4 Wochen45-60 min
Participantsdifferent
2-8Designers, developers as users, and facilitation1-62-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Hooked loop, Trigger map, Reward design, Ethics checkPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsExperiment results, Decision log, Learning summaryAssumption map, Test backlog, Risk ranking
Tagsno overlap
GrowthBehaviorRetention
ArchitectureEngineeringFeedbackValidationTasks
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskExperimentsValidation
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