<?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/7e7df54fbe084268b32a2d58127cc28c&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/7e7df54fbe084268b32a2d58127cc28c-c5cb9c1fa7916a75.gif</thumbnail_url><duration>168.092</duration><title>9. Understanding Candidate Analytics 📊</title><description>In this video, I walk you through the Candidate Analytics tool and how it can help us assess the health of our projects. I cover key metrics like candidate progression, rejection reasons, and weekly candidate flow. It&apos;s essential for us to utilize this data to better inform our clients about candidate fit. Please make sure to familiarize yourself with accessing the analytics tab for our projects.</description></oembed>