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| Criterion |  Product Strategy ICE Scoring |  Product Strategy RICE Scoring |  Decision Making Constraint Analysis |  Decision Making Decision Tree |
|---|---|---|---|---|
Purposedifferent | 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 many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable. | 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. | 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. |
Complexitydifferent | Low | Medium | Low | Medium |
Timedifferent | 30-60 min | 60-90 min | 30-90 min | 30-90 min |
Participantsdifferent | 2-8 | 2-10 | 2-8 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | ICE Table, Top Idea List | RICE Scores, Ranked List, Assumption Log | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Decision Tree, Option Map, Assumption List |
Tagsno overlap | PrioritizationScoringGrowthDecision | PrioritizationScoringRoadmapTradeoffs | ConstraintsDecisionPlanningOptions | DecisionTreeOptions |