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| Criterion |  Innovation Double Diamond |  Decision Making Decision Tree |  Product Strategy ICE Scoring |  Decision Making Decision Matrix |
|---|---|---|---|---|
Purposedifferent | For complex problems with a fuzzy situation, the method cleanly separates search space and decision. It first creates breadth in understanding and then focus in elaboration. This brings open questions, problem definition, and solution path into a traceable movement. | 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. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | Wochen bis Monate | 30-90 min | 30-60 min | 45-90 min |
Participantsdifferent | 3-12 | 1-6 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | Decision Tree, Option Map, Assumption List | ICE Table, Top Idea List | Decision Matrix, Scoring Rationale, Selected Option |
Tagsno overlap | ProcessDivergenceInnovation | DecisionTreeOptions | PrioritizationScoringGrowthDecision | DecisionCriteriaScoringTradeoffs |