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Selected:Shape-First ModelingSmoke TestLASR (Lightweight Approach for Software Reviews)Assumption Mapping
| Criterion |  Knowledge Modeling Shape-First Modeling |  Product Discovery Smoke Test |  Architecture LASR (Lightweight Approach for Software Reviews) |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
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. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | LASR helps development teams identify where their software falls short of important quality goals and which improvements to consider. A small group with existing system knowledge can make an initial assessment and investigate open questions in more detail. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | Halber Tag pro Domain Slice | 1-5 Tage | 3–4 h for initial assessment; preparation and deeper analysis additional | 45-60 min |
Participantsdifferent | 1-4 | Nutzertraffic | 1 or a small team; particularly suitable for 3–4 people | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Interest Metrics, Conversion Signal, Learning Note | Lean Mission Statement describing the software’s purpose, Prioritized quality goals and evaluation criteria, Risks and estimated gaps against quality goals, More closely examined findings and open checks | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | Knowledge graphValidationSemantic | ValidationExperimentsDemandGrowth | ArchitectureQualityRiskAssessmentLean | AssumptionsRiskExperimentsValidation |