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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
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
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.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.
Complexitydifferent
MediumMediumLow
Timedifferent
Multiple workshops over several weeks30-90 min20–45 min
Participantsdifferent
2-81-6Small cross-functional group
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Hooked loop, Trigger map, Reward design, Ethics checkDecision Tree, Option Map, Assumption ListRisk list, Mitigation plan, Assumption log
Tagsno overlap
GrowthBehaviorRetention
DecisionTreeOptions
RiskDecisionFailurePlanning
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Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration for Failure Scenario Analysis.
Engineering
Failure Scenario Analysis