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Criterion
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration for Trade-off Analysis.
Decision Making
Trade-off Analysis
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of a decision table with criteria rows, weighted ratings, and a narrowly leading alternative.
Decision Making
Decision 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.With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects.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.When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic.
Complexitydifferent
MediumMediumHighMedium
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional45-120 min1-4 Wochen45-90 min
Participantsdifferent
Designers, developers as users, and facilitation2-81-62-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsTrade-off Matrix, Criteria List, Decision Rationale, Accepted DownsidesExperiment results, Decision log, Learning summaryDecision Matrix, Scoring Rationale, Selected Option
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
TradeoffsDecisionCriteriaOptions
ExperimentsGrowthAnalyticsValidation
DecisionCriteriaScoringTradeoffs
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