<?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/250eefe9f4cd4b4eb413354f82afb2b8&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/250eefe9f4cd4b4eb413354f82afb2b8-dbb6b2ab792a3640.gif</thumbnail_url><duration>149.505</duration><title>Extracting Product Feedback from Customer Calls</title><description>In this video, I walk you through our process for extracting product feedback from customer calls. We’ll check each new external meeting to determine if it’s customer-facing and gather any product requests, issues, or enhancement suggestions. I’ve outlined how to format this feedback for Slack, ensuring we only send messages when there’s relevant input. Please review the conditional prompts and adjust them as needed to filter the calls effectively. If you have any questions or need help setting this up, feel free to drop a message in the chat.</description></oembed>