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Criterion
Paper illustration of Shape-first Modeling with its method-specific working model.
Knowledge Modeling
Shape-First Modeling
Paper illustration of RAID Log with a method-specific labelled workspace.
Delivery
RAID Log
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
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.Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as a RAID Log and a source for status reporting.When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.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.
Complexitydifferent
MediumLowHighHigh
Timedifferent
Halber Tag pro Domain Slice30 min Setup, dann laufend1-4 WochenSeveral meetings plus preparation and analysis; total effort depends on scope
Participantsdifferent
1-41-3 maintaining, briefing for everyone1-6Evaluation team, architects, and relevant stakeholders
Formatdifferent
Workshop + asyncAsyncAsyncWorkshop + async
Outputdifferent
SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape DocumentationRAID Log, Status Report SourceExperiment results, Decision log, Learning summaryPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigations
Tagsno overlap
Knowledge graphValidationSemantic
RiskTrackingStakeholdersGovernance
ExperimentsGrowthAnalyticsValidation
ArchitectureQualityRiskTradeoffsStakeholders
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