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| Criterion |  Decision Making Decision Matrix |  Systems Thinking Polarity Mapping |  Decision Making Decision Tree |  Product Strategy ICE Scoring |
|---|---|---|---|---|
Purposedifferent | 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. | Polarity Mapping makes tensions between two opposing poles tangible, such as standardization and adaptation or control and autonomy. The method guards against making apparent either-or decisions prematurely. | 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. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 45-90 min | 1-2 h | 30-90 min | 30-60 min |
Participantsdifferent | 2-8 | 3-12 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Decision Matrix, Scoring Rationale, Selected Option | Polarity Map, Warning Signs, Balance Actions | Decision Tree, Option Map, Assumption List | ICE Table, Top Idea List |
Tagsno overlap | DecisionCriteriaScoringTradeoffs | Systems thinkingTradeoffsLeadership | DecisionTreeOptions | PrioritizationScoringGrowthDecision |