%% Last Updated: - [[2021-02-19]] %% A performance sensitivity graph plots response times from a production application against the number of pages accessed. The goal of such a graph is to show how responsive users are to changes in response time and to help inform non-functional requirements for performance testing. ![[Data Science Visualizations to Improve eCommerce Sales#^208edf]] ^[01] The ideal way to gather these metrics is to use [[Real User Monitoring|RUM]] tools to link the response times experienced by a user and the number of pages they end up visiting. However, if this is not available, a correlation could still be found in two different datasets of response times and pages accessed. [^01]: [[Data Science Visualizations to Improve eCommerce Sales]] from [site](https://www.linkedin.com/pulse/data-science-visualizations-improve-ecommerce-sales-steven-maurer/)