Leveraging Telemetry Data to Optimize Web User Experience

Mounika Kothapalli

Abstract: User behavior analysis is critical to improve web applications performance and user experience. This paper discusses the use of telemetry data to deeply understand the user behavior by focusing on the types of telemetry data needed and the inclusion of scenario-based telemetry along with the methodologies used for analyzing the data. By analyzing user interactions, system performance and specific events the telemetry data reveals patterns, anomalies and opportunities for enhancement. This study also emphasizes the significance of scenario-based telemetry which is based off specific context and workflows. It also covers different data cleaning techniques; machine learning algorithms and statistical analysis required to predict and comprehend the user behavior. Future research directions include combining telemetry data with other data sources and investigating advanced analysis techniques to optimize web applications.

Keywords: User Behavior Analysis, Web Applications, Telemetry Data, Scenario-Based Telemetry, Machine Learning, Statistical Analysis, User Experience