<?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/853c38f5d0c4405e927065793777a77d&quot; frameborder=&quot;0&quot; width=&quot;1050&quot; height=&quot;787&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>787</height><width>1050</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>787</thumbnail_height><thumbnail_width>1050</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/853c38f5d0c4405e927065793777a77d-eeccbeb7f92b1661.gif</thumbnail_url><duration>451.694</duration><title>Quotas: Tracking and Automatic Gating</title><description>In this video, I discuss the importance of using quotas when recruiting participants for studies to ensure we achieve a balanced sample, such as half iOS users and half Android users. Without tracking participation from each group, we risk gaining insights that don&apos;t accurately reflect our audience. By defining targets upfront and monitoring quotas throughout the recruitment process, we can prevent over-recruitment and stay aligned with our goals. I encourage you to implement these strategies in your upcoming studies to enhance the quality of our insights.</description></oembed>