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| Criterion |  Growth Hooked Model |  Decision Making Decision Tree |  Growth Flywheel |  Decision Making Constraint Analysis |
|---|---|---|---|---|
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. | 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. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | Multiple workshops over several weeks | 30-90 min | 60-120 min | 30-90 min |
Participantsdifferent | 2-8 | 1-6 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Decision Tree, Option Map, Assumption List | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | GrowthBehaviorRetention | DecisionTreeOptions | GrowthRetentionConversion | ConstraintsDecisionPlanningOptions |