Case Study: Commure prioritizes thousands of customer requests with Linear

Commure logs 80,000 customer requests with Linear

Commure, an AI-native enterprise RCM platform for health systems, faced the challenge of effectively managing and prioritizing a massive volume of customer feedback as they scaled. With thousands of requests piling up, they needed a way to move beyond manual processes and reactive decisions to instead understand the broader themes and strategic direction hidden within the feedback. They turned to Linear and its Customer Requests feature to tackle this problem.

Linear's solution enabled Commure to implement a dual-view prioritization system, weighing requests by both count and customer revenue to gain strategic clarity. This allowed them to precisely identify both broad friction points and critical enterprise needs. Furthermore, by integrating Linear with Slack, they automated notifications to keep customers informed once their requests were completed. As a result, Commure has successfully logged over 80,000 customer requests, transforming their feedback into actionable product strategy and significantly enhancing customer communication.

Commure