Case Study: MyStudentPCR reduces errors by 50-75% with Raygun

Raygun has reduced our errors by 50-75%

MyStudentPCR, a web service/app for educators in allied health and clinical internship settings, struggled to collect useful client-side error information and connect those errors to real user requests. The team, led by Samuel Kordik, needed a better way to understand JavaScript errors, diagnose hard-to-reproduce issues, and support their small development workflow.

Raygun was integrated into MyStudentPCR’s development process to capture JS errors along with environment and IP data, link issues to bug tracking, and filter out noise with ignore rules. With Raygun, MyStudentPCR reduced errors by 50–75%, resolved issues faster, and improved responsiveness to customer bug reports and deployment problems.

MyStudentPCR

Samuel Kordik

MyStudentPCR