{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/bfa5036ea5794be497ffca9d4e3677ff\" 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/bfa5036ea5794be497ffca9d4e3677ff-dfe0e72876369c68.gif","duration":307.3596,"title":"Revised High Variance Treatment Explanation","description":"Hello everyone, I'm excited to share our revised High Variance Treatment objective, aiming to enhance team assessment accuracy by adjusting scores with low consensus. We've implemented outlier treatment and statistical algorithms to refine scores based on user settings. The video demonstrates how applying the high-variance treatment impacts competency scores, providing a clearer understanding of the adjustments made. No action requested from viewers, just an informative walkthrough of the treatment process."}