What type of analytics can you perform to identify user experience issues within your application?

Usability analytics is particularly effective for identifying user experience issues within an application because it focuses on how users interact with the software. This type of analysis examines user behavior patterns, helps identify pain points, and assesses how intuitive and efficient the application is from the user's perspective. By evaluating metrics such as task completion rates, time on task, and error rates during interaction, usability analytics provides insights into specific areas where users may struggle, thus enabling developers and designers to enhance the overall user experience.

Descriptive analytics provides an overview of past performance and user behaviors but does not analyze the quality of user interactions in-depth. Cohort analysis segments users based on shared characteristics or behaviors over time, which can be useful for observing trends but may not directly pinpoint usability issues. Predictive analytics uses historical data to forecast future behavior, which can be beneficial for anticipating user needs but does not directly assess current user experience challenges. Therefore, usability analytics stands out as the most appropriate method for understanding and improving user experience.