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Criterion
Paper radar with five axes, two current and target profiles, and evidence cards beside each dimension.
Decision Making
Radar
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Purposedifferent
When capabilities, maturity levels, or market positions need to be compared across several dimensions, overview is easily lost. Radar brings different characteristics into a shared picture and shows patterns faster than tables do.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.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.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.
Complexitydifferent
MediumMediumMediumLow
Timedifferent
1-2 h2–4 h review as a planning range; preparation and evaluation additional45-75 min25-40 min
Participantsdifferent
2-10Designers, developers as users, and facilitation2-81-5
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Radar Map, Capability Scores, Action AreasPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsTest Matrix, Test PlanLearning Card with evidence and next action
Tagsno overlap
AssessmentPortfolioCapability
ArchitectureEngineeringFeedbackValidationTasks
ExperimentsValidationDiscoveryOptions
ExperimentsValidationDiscoveryLearning
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