{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/3a742c5a26ff4e7ebbad33a9e1741cef\" frameborder=\"0\" width=\"1734\" height=\"1300\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1300,"width":1734,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1300,"thumbnail_width":1734,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/3a742c5a26ff4e7ebbad33a9e1741cef-73e667625726935f.gif","duration":346.3249,"title":"Enhancing Data Quality at Potloc","description":"In this video, I’m excited to share our new quality pillar on the Potloc platform, which focuses on transparency and visibility regarding data quality. I discuss key metrics like the good-to-bad quality ratio and survey attempts, which help us understand the quality of our sources and catch fraud effectively. I also explain how we implement various checks at different stages of the survey process to ensure high-quality responses."}