<?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/827c7b71194e49f291b8f3bfcba78862&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/827c7b71194e49f291b8f3bfcba78862-e116053fdbfb2838.gif</thumbnail_url><duration>1426.178</duration><title>Transforming OMI into a Consumer-Friendly AI Companion App | Vandan</title><description>In this video, I share my approach to redesigning the OMI app to make it a more consumer-friendly AI companion. I identified key goals, including simplifying the onboarding process to just three steps and enhancing user engagement through the OMI score feature. By focusing on clarity and reducing cognitive load, I aim to ensure users can easily navigate the app and return daily. I would love to discuss the next steps for validating these design decisions and understanding user behavior further, so please feel free to reach out with any questions or feedback.</description></oembed>