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| Criterion |  Knowledge Modeling Shape-First Modeling |  Architecture Software Architecture Canvas |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | Shape-First Modeling defines data quality through shapes before implementation or integration frays at the edges. The approach fits when validation and data contracts should be part of the design from the start. | The Software Architecture Canvas reduces a system to the most important architecture decisions, constraints, and interfaces. It is useful when teams need a resilient overall picture quickly. | 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 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 | Medium | Low | High | Low |
Timedifferent | Halber Tag pro Domain Slice | 1-2 h | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 1-4 | 3-10 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Async | Async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Architecture Canvas, Goals, Constraints, Quality Attributes | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | Knowledge graphValidationSemantic | CanvasArchitectureAlignmentWorkshop | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |