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| Criterion |  Decision Making Constraint Analysis |  Product Strategy ICE Scoring |  Product Discovery Smoke Test |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
Purposedifferent | 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. | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. |
Complexitydifferent | Low | Low | Low | Medium |
Timedifferent | 30-90 min | 30-60 min | 1-5 Tage | 45-75 min |
Participantsdifferent | 2-8 | 2-8 | Nutzertraffic | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | ICE Table, Top Idea List | Interest Metrics, Conversion Signal, Learning Note | Test Matrix, Test Plan |
Tagsno overlap | ConstraintsDecisionPlanningOptions | PrioritizationScoringGrowthDecision | ValidationExperimentsDemandGrowth | ExperimentsValidationDiscoveryOptions |