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| Criterion | ![]() Product Discovery Context Canvas | ![]() Product Discovery Concierge MVP | ![]() Knowledge Modeling Shape-First Modeling |
|---|---|---|---|
Purposedifferent | When an environment of users, systems, and constraints is hard to grasp, it puts the context compactly on the table. It creates a clear reading of influence, boundary, and dependency. | When an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. | 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 | Low | Medium | Medium |
Timedifferent | 45-90 min | 1-4 Wochen | Halber Tag pro Domain Slice |
Participantsdifferent | 3-10 | 3-10 Kunden | 1-4 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Context canvas, Open questions, Shared context notes | Concierge Learnings, Service Blueprint, MVP Risks | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation |
Tagsno overlap | ContextFramingRequirementsCanvas | MVPValidationServiceDiscovery | Knowledge graphValidationSemantic |
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