Our Blog
Challenge As the organization grew, product usage data became fragmented across multiple tools, teams and reporting mechanisms. No dedicated ownership existed for Product Analytics, resulting in inconsistent metrics, poor data quality and conflicting interpretations of product performance. Product teams struggled to answer fundamental questions such as: Which features create value for customers? How frequently are […]
Challenge When I joined Adverity, the existing Design System was primarily a front-end development asset. Its main purpose was to accelerate implementation and ensure code reuse across products. While technically robust, the system lacked several critical elements required to support product design at scale: Inconsistent UX patterns across components Limited guidance for designers and product […]
At Adverity, I designed a system of AI-powered workflows aimed at continuously discovering product opportunities by synthesizing signals from across the organization. The goal was to reduce the manual effort required to identify customer problems, uncover product opportunities, and prioritize roadmap investments. The solution combined customer research, support tickets, analytics, market intelligence, product documentation, engineering […]