<?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/06034991d3834ebabda6c97b317ef7df&quot; frameborder=&quot;0&quot; width=&quot;1598&quot; height=&quot;1198&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1198</height><width>1598</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1198</thumbnail_height><thumbnail_width>1598</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/06034991d3834ebabda6c97b317ef7df-17eacd008ca1bb12.gif</thumbnail_url><duration>645.979</duration><title>(Copy) Introducing AI-Powered Research Analysis Features 🚀</title><description>We&apos;re excited to introduce our new AI-powered research analysis functionality in User Interviews, starting with something we call session breakdown. This should help to speed up the processing and debrief work by automatically extracting observations from recorded sessions based on your discussion guide.

Coming soon is our data grid feature, which will allow for project-level analysis by helping to compare participants in an effort to jumpstart theme identification and analysis work.</description></oembed>