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Selected:ARID (Active Reviews for Intermediate Designs)Shape-First Modeling Learning Card MVP Test Matrix

Criterion	Architecture ARID (Active Reviews for Intermediate Designs)	Knowledge Modeling Shape-First Modeling	Product Discovery Learning Card	Product Discovery MVP Test Matrix
Purposedifferent	ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification.	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.	The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.	When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan.
Complexitydifferent	Medium	Medium	Low	Medium
Timedifferent	2–4 h review as a planning range; preparation and evaluation additional	Halber Tag pro Domain Slice	25-40 min	45-75 min
Participantsdifferent	Designers, developers as users, and facilitation	1-4	1-5	2-8
Formatdifferent	Workshop + async	Workshop + async	Workshop + async	Workshop
Outputdifferent	Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions	SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation	Learning Card with evidence and next action	Test Matrix, Test Plan
Tags1 shared	ArchitectureEngineeringFeedbackValidationTasks	Knowledge graphValidationSemantic	ExperimentsValidationDiscoveryLearning	ExperimentsValidationDiscoveryOptions

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