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| Criterion |  Product Strategy ICE Scoring |  Innovation Design Sprint |  Decision Making Decision Tree |  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. | When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | 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 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 | High | Medium | Low |
Timedifferent | 30-60 min | 4-5 Tage | 30-90 min | 30-90 min |
Participantsdifferent | 2-8 | 5-8 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | ICE Table, Top Idea List | Prototype, Test Findings, Decision Rationale | Decision Tree, Option Map, Assumption List | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | PrioritizationScoringGrowthDecision | Design sprintPrototypeValidationInnovation | DecisionTreeOptions | ConstraintsDecisionPlanningOptions |