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| Criterion |  Decision Making Decision Tree |  Growth Flywheel |  Product Strategy ICE Scoring |  Decision Making Constraint Analysis |
|---|---|---|---|---|
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 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 | Low | Low |
Timedifferent | 30-90 min | 60-120 min | 30-60 min | 30-90 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 | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | DecisionTreeOptions | GrowthRetentionConversion | PrioritizationScoringGrowthDecision | ConstraintsDecisionPlanningOptions |