<?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/bfc730cd61cc49c7a65972d202d8d4df&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/bfc730cd61cc49c7a65972d202d8d4df-aeb07c4138f0be70.gif</thumbnail_url><duration>251.712</duration><title>Transforming Scattered User Data into Actionable Insights with Quebot</title><description>Hey everyone! In this video, I walk you through how to transform scattered user data into actionable insights using Qbot. I demonstrate how we can analyze user feedback from Notion, identify critical issues like the backlash over the new AI interface, and even explore user requests for language support. I encourage you to leverage the live reporting and chat features to gain deeper insights into user sentiments. Let’s make informed decisions to enhance our product based on real user feedback!</description></oembed>