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| Criterion |  Knowledge Modeling Shape-First Modeling |  Innovation Lean Startup |  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. | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | 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 | Medium | Low |
Timedifferent | Halber Tag pro Domain Slice | Wochen bis Monate je Lernzyklus | 1-5 Tage |
Participantsdifferent | 1-4 | 2-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Interest Metrics, Conversion Signal, Learning Note |
Tags1 shared | Knowledge graphValidationSemantic | LeanStartupValidationMVP | ValidationExperimentsDemandGrowth |
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