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Criterion
Paper illustration of Shape-first Modeling with its method-specific working model.
Knowledge Modeling
Shape-First Modeling
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of two considered options leading to a decision record with a marked status and visible consequences.
Architecture
Architecture Decision Record
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
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 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.An ADR permanently records an architecture decision with context, trade-offs, and consequence. It creates continuity for later changes because the decision path stays traceable.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
MediumHighLowMedium
Timedifferent
Halber Tag pro Domain Slice1-4 Wochen15-45 min45-60 min
Participantsdifferent
1-41-61-32-8
Formatdifferent
Workshop + asyncAsyncAsyncWorkshop + async
Outputdifferent
SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape DocumentationExperiment results, Decision log, Learning summaryADR File, Decision Log, RationaleAssumption map, Test backlog, Risk ranking
Tagsno overlap
Knowledge graphValidationSemantic
ExperimentsGrowthAnalyticsValidation
ArchitectureRationaleDocumentationGovernance
AssumptionsRiskExperimentsValidation
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