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| Criterion | ![]() Product Strategy ICE Scoring | ![]() Innovation Design Thinking | ![]() Decision Making Decision Tree |
|---|---|---|---|
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 complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | 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. |
Complexitydifferent | Low | High | Medium |
Timedifferent | 30-60 min | 1 Tag bis mehrere Wochen | 30-90 min |
Participantsdifferent | 2-8 | 4-10 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | ICE Table, Top Idea List | Problem Statement, Prototype, Test Learnings | Decision Tree, Option Map, Assumption List |
Tagsno overlap | PrioritizationScoringGrowthDecision | InnovationPrototypeResearch | DecisionTreeOptions |
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