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| Criterion |  Product Discovery Solution Interview |  Product Strategy ICE Scoring |  Decision Making Decision Tree |  Decision Making Decision Matrix |
|---|---|---|---|---|
Purposedifferent | When a solution idea is already on the table, it checks how it is understood and evaluated. It looks for resonance, objections, and missing fit early in the conversation. | 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. | 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. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 30-60 min je Interview | 30-60 min | 30-90 min | 45-90 min |
Participantsdifferent | 5-10 Interviews | 2-8 | 1-6 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Solution Feedback, Objection List, Validation Notes | ICE Table, Top Idea List | Decision Tree, Option Map, Assumption List | Decision Matrix, Scoring Rationale, Selected Option |
Tagsno overlap | ValidationInterviewsPrototype | PrioritizationScoringGrowthDecision | DecisionTreeOptions | DecisionCriteriaScoringTradeoffs |