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| Criterion |  Decision Making Constraint Analysis |  Product Discovery Smoke Test |  Product Strategy ICE Scoring |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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 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 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 is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Low | Low | Low | Medium |
Timedifferent | 30-90 min | 1-5 Tage | 30-60 min | 1-5 Tage |
Participantsdifferent | 2-8 | Nutzertraffic | 2-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Interest Metrics, Conversion Signal, Learning Note | ICE Table, Top Idea List | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ConstraintsDecisionPlanningOptions | ValidationExperimentsDemandGrowth | PrioritizationScoringGrowthDecision | ValidationExperimentsDemandDiscovery |