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| Criterion |  Knowledge Modeling Shape-First Modeling |  Product Strategy Lean Canvas |  Innovation Lean Startup |  Product Discovery Pretotyping |
|---|---|---|---|---|
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. | When an early product bet still has too many open points, it brings target group, problem, and assumptions into a single view. It condenses the idea so core risks become nameable. | 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. | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | Halber Tag pro Domain Slice | 45-90 min | Wochen bis Monate je Lernzyklus | Stunden bis wenige Tage |
Participantsdifferent | 1-4 | 1-6 | 2-8 | 1-4 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Lean Canvas, Core Assumptions, Experiment Backlog | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision |
Tagsno overlap | Knowledge graphValidationSemantic | StartupLeanAssumptionsBusiness model | LeanStartupValidationMVP | ValidationDemandMVP |