AI Customer Intelligence Blog

How RETR Turned a Support Queue Into a Product Roadmap

In most SaaS companies, the support team sees things that the rest of the organization doesn’t. They hear from customers daily and watch the same frustrations cycle through the queue week after week. But when ticket volume is high, and resolution is split across multiple team members and AI agents, no single person holds a complete picture. Individual tickets get handled. The patterns underneath them stay invisible. That gap between handling customer issues and quantifying trends is where product quality and customer experience quietly deteriorate. Retention risk builds. Support load compounds. And because no one has the full picture, the organization keeps treating symptoms rather than causes. At RETR, a software platform serving the mortgage and real estate industry, customer support manager Kailey Maldonado spent considerable time sitting with that problem. Good Instincts, Hard to Prove RETR’s support queue runs around 500 tickets a week, handled through HubSpot Service Hub. Kailey had built a disciplined categorization workflow: every closed ticket required a topic tag, creating a record she could theoretically report on. In practice, the system had real limits. HubSpot’s AI categorization applied one topic tag per ticket, couldn’t be given context about what a topic actually meant, and improved...