{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/72a3bee996644510834d1691e9e875f2\" 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/72a3bee996644510834d1691e9e875f2-c482683bfc047123.gif","duration":717.629,"title":"Diagnose Performance Skill","description":"This Loom introduces the Diagnose Performance Skill to explain what drove changes in a key KPI, such as why CAC dropped or why conversion improved. It uses contribution analysis with metric trees and metric levers to break the chosen success KPI into components and identify which lever most contributed to the KPI change between two periods. In the demo, it analyzes CM3 changing last week versus the week before, where CM3 dropped 6%, and it finds the main driver was order value while return order volume and customers offset some of the impact. The report includes a lever breakdown and a waterfall visualization, then digs into drivers like repeat versus new customers and product category before producing hypotheses for next steps."}