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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)
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration for Flywheel.
Growth
Flywheel
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 many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth.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
MediumMediumMediumHigh
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional1-3 h60-120 min1-4 Wochen
Participantsdifferent
Designers, developers as users, and facilitation1-53-81-6
Formatdifferent
Workshop + asyncAsyncWorkshopAsync
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsFunnel report, Drop-off analysis, Optimization hypothesesFlywheel Map, Friction Points, Growth Levers, Experiment BacklogExperiment results, Decision log, Learning summary
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
AnalyticsConversionGrowth
GrowthRetentionConversion
ExperimentsGrowthAnalyticsValidation
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