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| Criterion |  Decision Making Decision Tree |  Growth Flywheel |  Product Strategy ICE Scoring |  Decision Making Decision Matrix |
|---|---|---|---|---|
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. | 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 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. | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 30-90 min | 60-120 min | 30-60 min | 45-90 min |
Participantsdifferent | 1-6 | 3-8 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | ICE Table, Top Idea List | Decision Matrix, Scoring Rationale, Selected Option |
Tagsno overlap | DecisionTreeOptions | GrowthRetentionConversion | PrioritizationScoringGrowthDecision | DecisionCriteriaScoringTradeoffs |