<?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/e6b23069c0c84e729d1b1a8f83963658&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/e6b23069c0c84e729d1b1a8f83963658-6a7204d2d2d44a2b.gif</thumbnail_url><duration>481.792</duration><title>Lesson #6: Managing Quotas &amp;amp; Preventing Drop-Off</title><description>In this video, I discuss critical skills for managing research projects, particularly focusing on quota management and preventing no shows. I share strategies for adjusting quotas mid-study, handling low-quality participants, and the importance of monitoring applicant pipelines. I also highlight upcoming features in early 2026 that will enhance quota management through automation. It&apos;s essential to act early to correct uneven segments and ensure transparency in team notes. I encourage you to implement these best practices to keep your studies on track and minimize participant dropouts.</description></oembed>