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| Criterion |  Product Discovery Pretotyping |  Knowledge Modeling Property Graph Schema Design |  Innovation Lean Startup |
|---|---|---|---|
Purposedifferent | 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. | Property Graph Schema Design turns business and technical requirements into a robust graph schema. It fits when query patterns, constraints, and migrations need to be thought about together. | 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. |
Complexitydifferent | Low | Medium | Medium |
Timedifferent | Stunden bis wenige Tage | 4-8 h initial, dann iterativ | Wochen bis Monate je Lernzyklus |
Participantsdifferent | 1-4 | 1-6 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision |
Tagsno overlap | ValidationDemandMVP | Knowledge graphModelingSemantic | LeanStartupValidationMVP |
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