Designed MeetGEN, a real-time meeting inclusivity overlay that uses AI to analyze speaking patterns, track engagement, and encourage balanced participation across teams.
The design focuses on a clean visual system that highlights participation gaps, delivers live feedback, and promotes healthier, more inclusive meeting dynamics without introducing distractions.
MeetGEN is an AI-powered real-time inclusivity overlay built to improve the quality of discussions in modern meetings.
The system tracks speaking time, engagement levels, and participation patterns to help teams maintain balanced and inclusive conversations.
The interface is lightweight, unobtrusive, and designed to blend seamlessly into live meetings without interrupting the flow.
The design process began with identifying key meeting challenges—uneven participation, dominance by certain speakers, and limited visibility of engagement levels.
After analyzing user behavior and meeting workflows, I crafted a UX system that surfaces real-time insights in a clear and non-distracting way.
Key screens included:
Onboarding
Live meeting overlay
Participant analytics
Speaking-time breakdown
Bias & dominance indicators
Activity trend graphs
Meeting recap summaries
Settings & customization
Visual cues, micro-animations, and subtle color signals were carefully designed to make insights intuitive and actionable.
The final prototype delivers a refined meeting enhancement tool with a modern visual identity, real-time analytics, and an assistive layer that supports truly inclusive collaboration.
