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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 Smoke Test.
Product Discovery
Smoke Test
Affinity Diagramming
UX Research
Affinity Diagramming
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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.When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer.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
MediumLowLowHigh
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional1-5 Tage45–90 min1-4 Wochen
Participantsdifferent
Designers, developers as users, and facilitationNutzertraffic3-101-6
Formatdifferent
Workshop + asyncAsyncWorkshopAsync
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsInterest Metrics, Conversion Signal, Learning NoteTheme clusters, Insight statements, Opportunity areasExperiment results, Decision log, Learning summary
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
ValidationExperimentsDemandGrowth
SynthesisQualitativeRoot cause
ExperimentsGrowthAnalyticsValidation
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