{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/df96071ecd54405f94b28c44ec878080\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/df96071ecd54405f94b28c44ec878080-fe69bbd8c1cd264a.gif","duration":80,"title":"Rhonel","description":"This Loom explains how the team addressed concerns about overpaying employees due to rising overtime payouts. The speaker used an employee time tracking tool to extract actual logged-in hours and compared that data with the overtime submitted and approved. They found discrepancies between overtime filed and the hours employees actually worked, including cases where employees submitted around 60 hours of overtime in a month while being logged in far less. As a result, they implemented stricter overtime approval to avoid overpaying."}