On our enterprise dashboard product, we were planning to add more data visualization options based on stakeholder requests. Our UX team ran a round of user interviews and shared a summary with me — the findings showed that customers were actually struggling with data export, not visualization. I took that insight to our roadmap review and argued for reprioritizing export tooling. We shipped an improved CSV and API export feature six months later and satisfaction scores went up. It reinforced for me that customer research should drive prioritization.
I personally scheduled and ran twelve 30-minute sessions with enterprise IT admins who managed our Azure data product — no UX intermediary, just me and a discussion guide I built. By session four, a pattern was clear: admins were exporting data to reconcile billing across tenants manually every month, and our API response times were making that a two-hour task. That was not on our roadmap. I brought the recordings to our roadmap review, proposed killing two lower-priority visualization features, and secured engineering capacity for a bulk export API. We shipped in eight weeks. Monthly export time dropped from two hours to eleven minutes. I then made direct customer sessions a monthly standing ritual for the team — not a one-time fix.