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Criterion
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 of Shape-first Modeling with its method-specific working model.
Knowledge Modeling
Shape-First Modeling
Paper illustration for Risk Storming.
Architecture
Risk Storming
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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 architecture context, options, and consequences in concrete terms. It organizes technical context, alternatives, and consequences. The result is captured as an Annotated Diagram, a Prioritized Risk List, and an Action Backlog.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.
Complexitydifferent
MediumMediumLowHigh
Timedifferent
45-60 minHalber Tag pro Domain Slice60-90 min1-4 Wochen
Participantsdifferent
2-81-44-121-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopAsync
Outputdifferent
Assumption map, Test backlog, Risk rankingSHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape DocumentationAnnotated Diagram, Prioritized Risk List, Action BacklogExperiment results, Decision log, Learning summary
Tags1 shared
AssumptionsRiskExperimentsValidation
Knowledge graphValidationSemantic
RiskArchitectureWorkshopValidation
ExperimentsGrowthAnalyticsValidation
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