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| Criterion | ![]() Knowledge Modeling Competency Questions | ![]() Product Strategy Lean Canvas | ![]() Knowledge Modeling Shape-First Modeling | ![]() Business Strategy 5-Minuten VC-Check |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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 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. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 2-4 h | 45-90 min | Halber Tag pro Domain Slice | 5-15 min |
Participantsdifferent | 2-8 | 1-6 | 1-4 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Lean Canvas, Core Assumptions, Experiment Backlog | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | VC-check note, Go/sharpen/park decision, Risk and assumption list, Next validation step |
Tagsno overlap | OntologyKnowledge graphScopeRequirementsSemantic | StartupLeanAssumptionsBusiness model | Knowledge graphValidationSemantic | StartupValidationCompetition |



