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| Criterion |  Product Discovery Context Canvas |  Growth A/B Testing |  Decision Making Constraint Analysis |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | When an environment of users, systems, and constraints is hard to grasp, it puts the context compactly on the table. It creates a clear reading of influence, boundary, and dependency. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | 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. |
Complexitydifferent | Low | High | Low | Low |
Timedifferent | 45-90 min | 1-4 Wochen | 30-90 min | 1-5 Tage |
Participantsdifferent | 3-10 | 1-6 | 2-8 | Nutzertraffic |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | Context canvas, Open questions, Shared context notes | Experiment results, Decision log, Learning summary | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ContextFramingRequirementsCanvas | ExperimentsGrowthAnalyticsValidation | ConstraintsDecisionPlanningOptions | ValidationExperimentsDemandGrowth |