<?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/d93b8697864c4f6ebd91346fb78b8b69&quot; frameborder=&quot;0&quot; width=&quot;1108&quot; height=&quot;831&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>831</height><width>1108</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>831</thumbnail_height><thumbnail_width>1108</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/d93b8697864c4f6ebd91346fb78b8b69-0403309f7dbe77f0.gif</thumbnail_url><duration>136.299</duration><title>Team Insights, Metrics, and Reporting Explained</title><description>This Loom explains the Insights feature for monitoring team progress. It shows that even right after an account launches, users can view task completion, a 78 success rate, and how much time was saved, with save time calculated by comparing estimated human time to AI time. It also provides output volume by category, such as email sent and leads rejected or qualified, plus detailed task breakdowns by agent including completion rates and targets. Finally, it covers generating and saving reports for sharing and decision making, with an option to create additional insights via a data AI agent if needed.</description></oembed>