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| Criterion |  Decision Making Constraint Analysis |  Operations ALPEN Method |  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. | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | 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 | 10-20 min daily | 1-5 Tage | 45-75 min |
Participantsdifferent | 2-8 | 1 | Nutzertraffic | 2-8 |
Formatdifferent | Workshop + async | Async | Async | Workshop |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Daily Plan, Time Estimates, Review Notes | Interest Metrics, Conversion Signal, Learning Note | Test Matrix, Test Plan |
Tagsno overlap | ConstraintsDecisionPlanningOptions | PlanningTime managementProductivityOperations | ValidationExperimentsDemandGrowth | ExperimentsValidationDiscoveryOptions |