Build a Robust AI System for Live UX Monitoring and AnalysisBuild a Robust AI System for Live UX Monitoring and Analysis
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Build a closed-loop AI system that continuously monitors, diagnoses, fixes, and measures: Continuous Live Monitoring: • Always-on funnel scanning for statistically meaningful drops and behavioral struggle signals (rage clicks, repeated attempts, hesitation, abandonment) • Issue clustering by type: validation errors, API failures, confusing flows, trust/friction moments • Anomaly alerting when conversion rates drop on any monitored flow AI-Powered Diagnosis: • Root cause analysis: go beyond “where” to “why” — cluster similar sessions, identify likely causes, pinpoint specific elements • Cross-device and cross-region comparison to catch locale- or device-specific issues • Cohort comparison: why do converters behave differently from drop-offs?

github.com

GitHub - debaa98/Live-UX-ANALYZER-: Continuously monitor live product experiences, diagnose conversion drop-offs, and generate actionable fixes routed directly to the right teams.

Continuously monitor live product experiences, diagnose conversion drop-offs, and generate actionable fixes routed directly to the right teams. - debaa98/Live-UX-ANALYZER-

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The network for creativity
Join 1.25M professional creatives like you
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Creatives on Contra have earned over $150M and we are just getting started