AI Alerts: Simplifies Sensitivity Controls

Feature Update:

Simplifies the sensitivity controls for non-network request metrics, replacing Impacted Uniques device sensitivity with improved RCA and issue detection. With this update, AI alerts intelligently detects impact levels and raises the alert for non-network request metrics with appropriate severity, ensuring more accurate and actionable notifications. The AI Alerts page no longer displays the Impacted Uniques column, along with the Total Impacted Devices and % Impacted Devices settings for non-network request metrics.

Click to expand the image

Use Case:

Use AI alerts notifications for proactive issue resolution and anomaly detection. Create an alert based on issue persistence, and the AI-based detection system intelligently evaluates the potential impacts for non-network request metrics and assigns the alert impacts accordingly, enabling more accurate and actionable AI alert notifications.

More Details: AI Alerts Senstivity.

Metric Builder: New Data Retention Option for Custom Metrics

Feature Update:

Adds a Keep historical data checkbox when editing the custom metric, enabling control over historical data persistence when custom metric settings change. This enhancement enables complete data refresh for major metric changes and data retention for minor updates.

Note: By default, the Keep historical data checkbox is selected to retain historical data.

Click to expand the image

Use Case:

Maintains historical data during metric updates, enabling long-term data analysis along with metric on-going adjustments. Also, enables historical data refreshes to restart metric analysis based for major metric changes. This setting is especially beneficial during the initial metric setup phase when major setting changes are required to optimize settings with performance analysis.

More Details: Custom Metrics.

Trends: New Info Icon for Custom Metrics

Feature Update:

Updates Trends with access to custom metric details, making it easy to check custom metric details while viewing Trends data.

Click to expand the image

Use Case:

To quickly confirm the event composition of a custom metric in a Custom Metric Widget in Trends, click the information icon to verify the initial and complete event selections. For additional metric information, click the metric name to open the Activation metric detail page, which displays the metric details, such as the duration distribution range.

More Details: Trends.

Activation: Deprecates Conviva Metric Template and Preview Functions

Feature Update:

Deprecates these functions from the Metric Builder in Activation:

• Conviva Metric Templates

• Preview function

Metrics: New App Startup Analysis Metrics and Associated Dimensions (Beta)

Introduction:

Conviva introduces a new set of flow metrics designed to measure stateful user experiences to better analyze critical user experience impacts, such as users trying to restart an app after app crashes and non-responsive pauses.

These metrics enable drill-downs based on the user experience impacts to quickly determine the related root causes of performance issues, such as a network request, mishandling thread allocation or background processing.

Feature Update:

Adds new metrics and it's associated dimensions for deeper insights into user behaviors and app recovery patterns related to app stability issues:

• Mins with ANR To App Startup

• Mins with Crash To App Startup

• ANR To App Startup

• Crash To App Startup

The dimensions associated with,

• Mins with ANR To App Startup metric is ANR Reason

• ANR To App Startup metric is ANR Reason

• Crash to App Startup metric are Stack Trace, and Error Message

• Mins with Crash To App Startup metric are Stack Trace, and Error Message

Click to expand the image

Use Case:

Use these new metrics to discover the impacts of app thread processing issues and causes of app crashes with data on how often users relaunched the app after crashes or ANRs, and the amount of time users were impacted.

More Details: DPI Metrics.

User Timeline: Adds Contains Labels for Matched Sessions

Feature Update:

Adds a Contains label to user sessions in the User Timeline dashboard to quickly identify sessions with events and global filters passed from Funnels and Paths. This enhancement provides analysis context and makes it easier to identify relevant sessions with events and filters related to sequences in Funnel and Path event progressions.

Click to expand the image

Use Case:

To perform deeper analysis of a sequence of events highlighted in Funnels and Paths, such as a path that ends with a login error to see what events lead to the error. Open the Users Dashboard by drilling into a User ID or Client ID to view sessions that contain the error and check user behavior before and after the error occurs.

More Details: User Dashboard.

Custom Metric Builder: Adds Currency Unit for Event Aggregation Metrics

Feature Update:

Adds support to select a currency unit when creating event aggregation metrics. This setting is especially useful for metrics related to monetary values, such as those tracking payments.

Note: The unit is for display purposes only and does not impact how the data is processed.

Click to expand the image

Use Case:

To create a metric for tracking payment transactions, choose the Event Aggregation metric type, and identify the specific event and tag needed to extract the desired values. Decide whether to aggregate the data using sum or average, based on your analysis needs. Set the metric unit to ensure a clear and consistent display for easy interpretation.

More Details: Custom Metrics.

AI Alerts: Simplifies Sensitivity Controls (Beta)

Feature Update:

Simplifies the sensitivity controls for non-network request metrics, replacing Impacted Uniques device sensitivity with improved RCA and issue detection. With this update, AI alerts intelligently detect impact levels and raise the alert for non-network request metrics with appropriate severity, ensuring more accurate and actionable notifications. The AI Alerts page no longer displays the Impacted Uniques column, and the Total Impacted Devices and % Impacted Devices settings for non-network request metrics are no longer displayed.

Click to expand the image

Use Case:

Use AI alerts notifications for proactive issue resolution and anomaly detection. The AI-based detection system intelligently evaluates the potential impacts for non-network request metrics and assigns the alert impacts accordingly.

More Details: AI Alerts Senstivity.