{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/6f12f40f816f4f82b8c338a50ee4bdca\" frameborder=\"0\" width=\"1266\" height=\"949\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":949,"width":1266,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":949,"thumbnail_width":1266,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/6f12f40f816f4f82b8c338a50ee4bdca-a9756578f2df8026.gif","duration":127.661,"title":"Notion Builds a Messaging Review Workflow","description":"This Loom shares a product marketing use case showing how Notion uses its own product internally. John Hurley, head of marketing at Notion, describes creating a “Messaging BS Radar” that uses Notion AI and automated workflows to review internal messaging and positioning documents. The workflow takes messaging or an email a user wrote, verifies it against product marketing frameworks and best practices, and returns marked-up feedback and a revised version. The creator emphasizes that showing specific, real use cases helps viewers connect the dots and adopt the same approach for horizontal product needs."}