The product ingests support tickets, agent feedback, and product telemetry to detect recurring CX friction tied to personalization, forecasting, and device behavior. It clusters issues, identifies likely model or workflow improvement opportunities, and creates prioritized recommendations for product, CX, and ML^? teams.

Consumer health devices are increasingly driven by personalization, prediction, and foundation-model workflows. As companies add AI to customer experience, they need structured systems for translating support pain into deployable model and product improvements.