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| Criterion |  Growth Hooked Model |  Decision Making Decision Tree |  Knowledge Modeling IBIS |  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. | 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. | IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | Multiple workshops over several weeks | 30-90 min | 1-3 h | 60-120 min |
Participantsdifferent | 2-8 | 1-6 | 2-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Decision Tree, Option Map, Assumption List | Issue Map, Positions, Argument Notes | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog |
Tagsno overlap | GrowthBehaviorRetention | DecisionTreeOptions | RationaleKnowledgeDecision | GrowthRetentionConversion |