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| Criterion | ![]() Product Discovery Assumption Mapping | ![]() Business Strategy 5-Minuten VC-Check | ![]() Knowledge Modeling Competency Questions | ![]() Knowledge Modeling Shape-First Modeling |
|---|---|---|---|---|
Purposedifferent | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | The 5-Minute VC Check clarifies opportunities and strategic options at the earliest idea stage. It compares problem quality, customer willingness to pay, alternatives, differentiation, and market potential, and captures the result as a VC-check note, go/sharpen/park decision, and risk list. | Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures. | 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. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 45-60 min | 5-15 min | 2-4 h | Halber Tag pro Domain Slice |
Participantsdifferent | 2-8 | 1-5 | 2-8 | 1-4 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Assumption map, Test backlog, Risk ranking | VC-check note, Go/sharpen/park decision, Risk and assumption list, Next validation step | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation |
Tagsno overlap | AssumptionsRiskExperimentsValidation | StartupValidationCompetition | OntologyKnowledge graphScopeRequirementsSemantic | Knowledge graphValidationSemantic |



