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| Criterion |  Product Strategy ICE Scoring |  Decision Making Decision Tree |  Architecture C4 Model |  Decision Making Constraint Analysis |
|---|---|---|---|---|
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. | 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 C4 Model makes a system legible across several resolution levels, from context down to code. It suits situations where different audiences need to understand the same architecture from different altitudes. | 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 | Low | Medium | Low | Low |
Timedifferent | 30-60 min | 30-90 min | 1-4 h | 30-90 min |
Participantsdifferent | 2-8 | 1-6 | 1-5 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | ICE Table, Top Idea List | Decision Tree, Option Map, Assumption List | Context Diagram, Container Diagram, Component Diagram | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | PrioritizationScoringGrowthDecision | DecisionTreeOptions | ArchitectureCommunicationVisualization | ConstraintsDecisionPlanningOptions |