Laurel Xiang enhanced the MongoDB Atlas Dashboard within the DataDog/integrations-extras repository by improving metric queries and introducing template variables for Database, Collection, and Query Overview panels. Using skills in dashboard development and data visualization, Laurel focused on enabling more accurate and flexible data analysis for MongoDB Atlas workloads. The technical approach involved updating dashboard filters and refining query logic, which increased observability and allowed users to tailor visualizations to specific datasets. The work, implemented in Markdown, addressed the requirements of ECOINT-295 and resulted in a more robust and adaptable dashboard, supporting faster and more reliable decision-making for end users.