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| Criterion | ![]() Knowledge Modeling Shape-First Modeling | ![]() Architecture ATAM (Architecture Tradeoff Analysis Method) | ![]() Product Discovery Smoke Test | ![]() 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. | ATAM helps teams weigh architecture decisions when quality goals compete. The team considers business goals, stakeholder expectations, and technical decisions together. The evaluation shows which risks need further investigation. | 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. | 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 | High | Low | Medium |
Timedifferent | Halber Tag pro Domain Slice | Several meetings plus preparation and analysis; total effort depends on scope | 1-5 Tage | 1-5 Tage |
Participantsdifferent | 1-4 | Evaluation team, architects, and relevant stakeholders | Nutzertraffic | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Prioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigations | Interest Metrics, Conversion Signal, Learning Note | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | Knowledge graphValidationSemantic | ArchitectureQualityRiskTradeoffsStakeholders | ValidationExperimentsDemandGrowth | ValidationExperimentsDemandDiscovery |



