In their quest to enhance Jira's automation capabilities, Emet Ozar and Luke Bonanomi explored the use of ScriptRunner, a powerful plugin that utilizes the Groovy programming language, to address specific challenges faced by their documentation team. The team struggled with prioritizing work on documentation pages, as each ticket's value seemed equal, necessitating a system to rank URL pages based on a predefined list and trigger specific actions. By leveraging Jira's native automation features and ScriptRunner, they crafted a custom automation solution that updated ticket priorities, added labels, and provided clear rank visibility for URLs. This automation significantly improved the team's ability to prioritize high-impact documentation pages, embodying MongoDB's values of collaboration and impactful work. This case exemplifies the importance of tailored automation solutions in enhancing productivity, accuracy, and efficiency for program managers, systems administrators, and engineering teams, showcasing how specific automation use cases can lead to broader improvements in workflow management.