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Criterion
Paper illustration of Hooked Model with its method-specific working model.
Growth
Hooked Model
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Decision Framing Workshop.
Decision Making
Decision Framing Workshop
Paper illustration for DACI
Decision Making
DACI
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.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.When a decision is poorly framed, even good answers deliver little value. A Decision Framing Workshop sharpens the problem, goal, and boundaries before the actual weighing begins.In cross-functional decisions, responsibilities quickly blur between approval, influence, and execution. DACI arranges these roles so decision pressure, contribution, and information stay cleanly separated.
Complexitydifferent
MediumMediumMediumLow
Timedifferent
Multiple workshops over several weeks30-90 min60-120 min30-60 min
Participantsdifferent
2-81-64-102-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Hooked loop, Trigger map, Reward design, Ethics checkDecision Tree, Option Map, Assumption ListDecision Frame, Decision Question, Criteria List, Evidence PlanDACI Matrix, Decision Owner, Decision Log
Tagsno overlap
GrowthBehaviorRetention
DecisionTreeOptions
Decision framingAlignmentCriteriaOptions
DecisionRolesGovernanceAlignment
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