Customer issues rarely begin as escalations. They usually start as small patterns that are easy to miss until they become larger operational problems. My role was to connect testing, operational data, and customer feedback so we could identify issues earlier and improve the customer experience before they grew.
As AWS Billing introduced new features and improvements, issues surfaced through multiple channels including testing, customer support, operational queues, and third party partners. Each source provided only part of the picture, making it difficult to identify trends before they affected more customers.
Rather than treating each issue as an isolated event, I looked for recurring patterns across testing, customer feedback, and operational data. Understanding why issues occurred was just as important as resolving them.
I partnered with engineering, product, customer support, and external vendors to coordinate end to end testing, investigate issues, and make sure problems reached the teams best positioned to resolve them.
I explored ways to incorporate customer service calls, chats, and operational metrics into a more proactive process. The goal was to identify signals earlier so the organization could prevent customer issues instead of simply reacting to them.
Improved operational visibility