{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/e6b23069c0c84e729d1b1a8f83963658\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/e6b23069c0c84e729d1b1a8f83963658-6a7204d2d2d44a2b.gif","duration":481.792,"title":"Lesson #6: Managing Quotas &amp; Preventing Drop-Off","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'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."}