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 context, and historical roadmap decisions into a unified discovery pipeline powered by AI agents. Currently in building.
As the organization grew, valuable customer insights became fragmented across multiple systems:
Product Managers spent significant time manually gathering information before being able to:
This made discovery reactive, slow, and difficult to scale.
I designed an AI-powered discovery system that continuously collects signals from across the organization—including customer research, support tickets, analytics, product documentation, Jira, and customer conversations.
A network of AI agents analyzes and synthesizes these inputs, identifies recurring problems and opportunities, and generates evidence-based opportunity briefs. Each brief includes customer impact, supporting evidence, root causes, and potential solution directions.
Product leaders review, validate, and prioritize the generated opportunities before they enter the roadmap, creating a scalable and continuously running product discovery process.
Adverity GmbH
June 2026
VP Experience
