View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Knowledge Modeling Shape-First Modeling |  Product Discovery Learning Card |  Product Discovery MVP Test Matrix |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | Halber Tag pro Domain Slice | 25-40 min | 45-75 min | 1-5 Tage |
Participantsdifferent | 1-4 | 1-5 | 2-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Learning Card with evidence and next action | Test Matrix, Test Plan | Click Data, Interest Signal, Learning Decision |
Tags1 shared | Knowledge graphValidationSemantic | ExperimentsValidationDiscoveryLearning | ExperimentsValidationDiscoveryOptions | ValidationExperimentsDemandDiscovery |