Understanding app performance is crucial for delivering a seamless user experience. HeadSpin session reporting provides a comprehensive analysis of user interactions, crashes, latency, and other essential metrics, aiding in optimizing app experiences. One powerful feature of HeadSpin is the ability to label time series KPIs during a session.
In this tutorial, we will explore how to use HeadSpin labeling capabilities through its Timeseries API to mark regions of interest based on specific KPI thresholds within a session.
The Power of HeadSpin Session Reporting
HeadSpin session reporting offers a detailed view of user interactions within mobile applications, providing invaluable insights into app performance. By capturing and analyzing key metrics, such as Net CPU usage, memory utilization, and battery drain, these reports empower developers and stakeholders to make data-driven decisions to enhance app functionality and user satisfaction.
One unique aspect of HeadSpin’s reporting capabilities is the ability to set thresholds and create labels on device KPIs using the captured time series data. This lets users focus on specific session areas, facilitating a deeper understanding of app behavior under various conditions.