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| Criterion |  Decision Making Constraint Analysis |  Product Discovery Smoke Test |  Decision Making Decision Tree |  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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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 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 | Medium | Medium |
Timedifferent | 30-90 min | 1-5 Tage | 30-90 min | 45-75 min |
Participantsdifferent | 2-8 | Nutzertraffic | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Interest Metrics, Conversion Signal, Learning Note | Decision Tree, Option Map, Assumption List | Test Matrix, Test Plan |
Tagsno overlap | ConstraintsDecisionPlanningOptions | ValidationExperimentsDemandGrowth | DecisionTreeOptions | ExperimentsValidationDiscoveryOptions |