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| Criterion |  Decision Making Decision Tree |  Product Strategy ICE Scoring |  Decision Making Decision Matrix |  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. | 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. | 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 | Low | Medium | Low |
Timedifferent | 30-90 min | 30-60 min | 45-90 min | 30-90 min |
Participantsdifferent | 1-6 | 2-8 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | ICE Table, Top Idea List | Decision Matrix, Scoring Rationale, Selected Option | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tags1 shared | DecisionTreeOptions | PrioritizationScoringGrowthDecision | DecisionCriteriaScoringTradeoffs | ConstraintsDecisionPlanningOptions |