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Criterion
Paper illustration of Hooked Model with its method-specific working model.
Growth
Hooked Model
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
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.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.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.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.
Complexitydifferent
MediumLowHighLow
Timedifferent
Multiple workshops over several weeks20–45 min1-4 Wochen45-90 min
Participantsdifferent
2-8Small cross-functional group1-62-8
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
Hooked loop, Trigger map, Reward design, Ethics checkRisk list, Mitigation plan, Assumption logExperiment results, Decision log, Learning summaryAssumption List, Critical Assumptions, Learning Plan
Tagsno overlap
GrowthBehaviorRetention
RiskDecisionFailurePlanning
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskDecisionDiscovery
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