<?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/32a7da75eefb4c8282f38dee1f8db75f&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/32a7da75eefb4c8282f38dee1f8db75f-b92a7afd4817990d.gif</thumbnail_url><duration>177.494</duration><title>Introducing the AI Match Score for Candidate Evaluation 🚀</title><description>Hey everyone, I wanted to share our latest product update about the AI match score, which you can now see on all candidate cards. This score is calculated by comparing a candidate&apos;s CV with your job description and requirements, giving you a percentage that reflects their suitability for the role. For example, one candidate scored 76%, but we noted some concerns regarding industry experience and location. I encourage you to explore this feature as a second opinion in your recruitment process and to use the filters to prioritize candidates. Also, please share any feedback if you encounter scores that seem off, as they can highlight important details we might have missed.</description></oembed>