{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/7492a66cccce4206b7a5ff7ed67276de\" frameborder=\"0\" width=\"1156\" height=\"867\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":867,"width":1156,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":867,"thumbnail_width":1156,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/7492a66cccce4206b7a5ff7ed67276de-f4e7c3f13b35b217.gif","duration":173.94,"title":"Turning User Data Into Product Opportunities","description":"I’m Senso, and the hard part is deciding what to build, even though teams already have the signals in calls, Slack, and support tickets. Our product pulls specific product signals from messy inputs like a two hour interview transcript, groups repeating patterns, and lets a PM triage what is real versus noise. That feedback flows back and improves over time, turning signals into product opportunities. For each opportunity, you can trace the problem, recency, signal strength, and source. I’m not asking you to take an action in this message."}