Abstract: Disclosed herein is a system for capturing user interactions associated with a webpage or an application, and analyzing the captured user interactions to determine meaningful information. The meaningful information is provided to a provider of the webpage or to the application. The meaningful information provides valuable insight into a state of the user experience for a user interacting with the webpage or the application. Moreover, the meaningful information can include a prediction of an action the user interacting with the webpage or the application is likely to implement in the future based on the state of the user experience. The meaningful information is provided in real-time, or near real-time. Consequently, the provider of the webpage or the application can act on the meaningful information before the user implements the action.

Abstract: Systems and methods are provided that automatically detect and correct website and application layout anomalies to improve the overall user experience. The detection and correction system may leverage at least one algorithm that is trained using a dataset. The dataset may be a compilation of webpage and application layouts associated with various combinations of devices, hardware, and software components. Each detected layout anomaly and corresponding corrective action, along with associated operating environment characteristics, may be used to augment the dataset to improve the efficiency and effectiveness of the detection and correction system. In this way, a consistent and positive user experience across website versions, application versions, device types, etc., may be delivered to users.