Overview: New Events Section with Preset (Beta)

Feature Update:

Introduces a new Events section in the Overview Dashboard to analyze the occurrence of various events. Additionally, click on the specific event to view the preset for the selected event, which accelerates event-based data analysis and anomaly detection. Each preset includes a predefined set of key metrics and corresponding dimension data, offering a structured starting point for investigating trends and identifying issues across critical user experience areas. These presets reduce setup time and promote consistent data analysis across teams.

Click to expand the image

Use Case:

Select the event preset to gain quick insights into user experiences on that platform. From the Events drop-down, select the event preset to gain quick insights, such as which app versions and devices were most impacted by 5xx server errors and app crashes. This preset supports efficient issue detection, performance optimization, and root cause analysis, enabling faster resolution of user-impacting issues across web and mobile platforms.

More Details: Overview Dashboard and Presets.

AI Alert Notification: Google Chat Notifications for AI Alerts (Beta)

Feature Update:

Enhances the Conviva Notification Channel with support for AI Alerts in Google Chat Spaces as data-rich, structured notification cards. With this release, Google Chat appears as a notification channel within Conviva’s existing notification service settings. The integration enables the delivery of AI-generated alerts directly to a selected Google Chat Space using Incoming Webhooks. These notifications render as data-rich Google Chat cards, ensuring structured, readable, and actionable alert messages with links to Conviva diagnostics features.

Click to expand the image

Use Case:

Set up Conviva Google Chat settings to reduce incident response times. For example, automatically route alerts about minutes with 4xx network response codes to the web services team's Google Chat channel, enabling engineers to proactively identify and resolve client-side errors before they impact users.

More Details: Google Chat Notification.

Trends: Percentile Aggregation for Flow-Duration and Custom Metrics (Beta)

Feature Update:

Adds support for percentile values with a dynamic Aggregation Selector that toggles between percentiles and averages in the Trends dashboard. Percentile-based aggregation (P50, P75, P90, P95, P99) enables the Flow-Duration and Custom metrics to provide a more precise view of Flow-Duration and Custom performances.

Click to expand the image

Use Case:

Using the P95 metric value for the average duration of the Payment Complete Flow helps identify slow client-side navigations that affected a small (5%) but meaningful subset of users. While the average duration for completing the Payment Complete Flow may appear acceptable, the P95 reveals routes, devices, or browsers where the payment completion steps took significantly longer than most other app transitions, thereby impacting perceived responsiveness. Going beyond the average value, percentile values enable teams to isolate and optimize the most impacted performance issues that degrade the user experience.

More Details: Trends.

Adds support for additional event-based dimensions, beyond the out-of-box dimensions, for Flows and custom metrics. Specify whether the dimension value is based on the first-observed event value or the last observed event value, enabling more control of the dimensional values for richer analysis of the configured Flows and custom metrics.

Trends: Percentile Aggregation for Duration Metrics (Beta)

Feature Update:

Adds a dynamic Aggregation Selector to toggle between percentiles and averages in the Trends dashboard, enabling percentile-based aggregation (P50, P75, P90, P95, P99) for Duration metrics to gain a more precise view of duration performances.

Click to expand the image

Use Case:

Using the P95 metric value for Soft Navigation Time helps identify slow client-side navigations that affected a small (5%) but meaningful subset of users. While average soft navigation time may appear acceptable, P95 reveals routes, devices, or browsers where in-app transitions took significantly longer than most other app transitions, impacting perceived responsiveness. Going beyond the average value, percentile values enable teams to isolate and optimize client-side rendering or script execution issues that degrade the user experience.

More Details: Trends.