<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/6093d641ea0f49f6a3830cf32a654e60&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/6093d641ea0f49f6a3830cf32a654e60-8362b811262e5eed.gif</thumbnail_url><duration>396.551</duration><title>Introducing UIUXDoctor: AI-Powered UI Friction Diagnosis and Solutions</title><description>Hello everyone, in this video, I present our IMVP for the Hackathon, UIUXDoctor, which is an AI-powered tool designed to diagnose UI friction and prescribe fixes. It analyzes user-uploaded screen recordings to identify issues like dead clicks and hidden CTAs, and then provides actionable patches along with a dashboard for tracking improvements and cost savings. We offer a tiered subscription model, starting with a free option for six analyses per month, and I encourage you to explore the demo included in the video. Please take a moment to review the analytics page to see how many issues have been corrected and the potential savings. I hope you find this tool valuable for enhancing user experience!</description></oembed>