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| Criterion |  Decision Making Decision Tree |  Growth Hooked Model |  Product Strategy ICE Scoring |  Growth Flywheel |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. | 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 | Medium | Medium | Low | Medium |
Timedifferent | 30-90 min | Multiple workshops over several weeks | 30-60 min | 60-120 min |
Participantsdifferent | 1-6 | 2-8 | 2-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Decision Tree, Option Map, Assumption List | Hooked loop, Trigger map, Reward design, Ethics check | ICE Table, Top Idea List | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog |
Tagsno overlap | DecisionTreeOptions | GrowthBehaviorRetention | PrioritizationScoringGrowthDecision | GrowthRetentionConversion |