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Criterion
Paper illustration of Competency Questions with its method-specific working model.
Knowledge Modeling
Competency Questions
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
Paper illustration of Shape-first Modeling with its method-specific working model.
Knowledge Modeling
Shape-First Modeling
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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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.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
MediumMediumHighMedium
Timedifferent
2-4 h45-60 minSeveral meetings plus preparation and analysis; total effort depends on scopeHalber Tag pro Domain Slice
Participantsdifferent
2-82-8Evaluation team, architects, and relevant stakeholders1-4
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Competency Question Set, Required Concepts, Test Queries, Coverage MatrixAssumption map, Test backlog, Risk rankingPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigationsSHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation
Tagsno overlap
OntologyKnowledge graphScopeRequirementsSemantic
AssumptionsRiskExperimentsValidation
ArchitectureQualityRiskTradeoffsStakeholders
Knowledge graphValidationSemantic
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