<?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/f47e01274cd34f1dbedc683aee4277d5&quot; frameborder=&quot;0&quot; width=&quot;1152&quot; height=&quot;864&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>864</height><width>1152</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>864</thumbnail_height><thumbnail_width>1152</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/f47e01274cd34f1dbedc683aee4277d5-6986d2206642ad12.gif</thumbnail_url><duration>160.366</duration><title>Improving Signal Tracking 🚀</title><description>Hey there! In this video, I discuss enhancing our signal tracking process to yield better results. I address the limitations we face with cell size data and propose a workaround to track more individuals effectively. Action requested: Implement the suggested changes to optimize tracking outcomes.</description></oembed>