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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
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Flywheel.
Growth
Flywheel
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.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.Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth.
Complexitydifferent
MediumLowMediumMedium
Timedifferent
Multiple workshops over several weeks20–45 min30-90 min60-120 min
Participantsdifferent
2-8Small cross-functional group1-63-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Hooked loop, Trigger map, Reward design, Ethics checkRisk list, Mitigation plan, Assumption logDecision Tree, Option Map, Assumption ListFlywheel Map, Friction Points, Growth Levers, Experiment Backlog
Tagsno overlap
GrowthBehaviorRetention
RiskDecisionFailurePlanning
DecisionTreeOptions
GrowthRetentionConversion
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