{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/26415373748c44f1ad85905d79fb95a1\" frameborder=\"0\" width=\"2306\" height=\"1729\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1729,"width":2306,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1729,"thumbnail_width":2306,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/26415373748c44f1ad85905d79fb95a1-a95c3dc23391b1db.gif","duration":398.226,"title":"Using AI to Reframe a PM Request","description":"This Loom shows how to respond to a head of product’s request to double down on paid social despite doubts about ROI. It recommends first identifying assumptions in Dana’s ask and using available channel data to test them, rather than executing blindly. The data shown indicates paid social has the lowest performance, with KYC completion around 47 percent versus about 68 to 72 percent on other channels, and activation at 33 percent versus 46 to 58 percent. The Loom then demonstrates drafting a reframe to align with the goal while presenting evidence clearly for an exec discussion by Wednesday, backed by a quality checklist to avoid hallucinated or incorrect data."}