Presets

To access the preset use cases:

• Click Preset to access:

  1. Click Presets on the ECO.

     Preset Usecases dashboard is displayed.

     

  2. Select the preset usecase from the displayed list to see the selected dashboard.

     

     Presets	Description
     User Experience	Quickly analyze App Performance and User Experience with key metrics, including Active Users, Avg Page Load Time, Avg Screen Load Time, Avg App Startup Time, App Crashes, and Quality of Experience Index.   With these insights into your app performance, formulate an app optimization plan. For example, based on Avg Screen Load Time, Avg App Startup Time, and App Crashes, analyze the longest screen load times and the periods when most app crashes appear, discover related root causes, and optimize app workflows.
     Service Performance	Easily examine network requests and response durations to monitor server-side performance based on the related metrics and dimensions, including Network Request Count, Avg Network Request Duration, Network Request Failure, and Active Users.   Analyze the correlation between Network Request Count, Avg Network Request Duration, and Active Users, to discover the root causes of long average network request durations, and follow up with the app optimizations to enhance user experiences.
     Events	Efficiently monitor and analyze the occurrence of various events (system and user-generated) within your app. You can view Global and Event tags from the Event preset. For example, observe the correlation between Total Events, User Event, and Active Users, to identify which features or actions are driving user engagement for feature enhancement and targeted user experiences.

• From the Trends dashboard:

  • In the Dimension Table, hover over any dimension value, and then click the Drill down to Events view icon to navigate to the respective view with the dimension value as the primary filter for further analysis.

  • In the Dimension Table, click the icon near the dimension heading to be directed to the respective view with the primary filter set to All Traffic for further analysis.

Percentile Selections

Use the drop-down list beside the Network Request Duration metric in the Select metrics to view window on the Server Side Performace prest dashboard to select a percentile for a more precise analysis of app performance, especially when a few outliers or extreme values impact average metrics.

Percentile Selections

Note: The percentile selections are available only for the Network Request Duration metric on the Service Performance preset dashboard.

For example, the Network Request Duration metric is 2.5 seconds, based on a few outliers exceeding 20 seconds, significantly affecting the average duration. Using percentiles, 99% of the average network request duration is equal to or less than 120 ms, indicating good performance for most users. In such scenarios, the average metric percentile clarifies how the experience impact is distributed. Use the drop-down list to more clearly understand the user experience of 50%, 90% or 99% of the users.

The percentile selections include:

• Average: This option is selected by default, indicating the sum of time taken by total requests in a session divided by the number of requests.

• P50: The point at which half of the requests are faster and half are slower, offering a baseline for understanding typical app performance. It represents the median in the distribution of network request durations.

• P95: This percentile indicates that 95% of the network requests had this value or below it. It reflects the most common performance experienced by a significant majority of users, ensuring a good experience for a larger subset and accounting for most outliers.

• P99: The performance experienced by 99% or almost all users, excluding the worst1%, crucial for identifying outliers and ensuring a good experience for the vast majority.