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User Experience Visibility with RUM

1 post · Feb 2022

What this trail covers

Datadog is enhancing its ability to gain visibility into the user experience of its own platform by leveraging its Real User Monitoring (RUM) product, logs, and notebooks. This involves collecting quantitative data on user interactions to inform design decisions, such as optimizing font choices and refining UI component functionality. The goal is to improve the overall user experience by understanding how users interact with the platform and identifying areas for improvement.

All Datadog trails
  1. How Datadog uses Datadog to gain visibility into the Datadog user experience | DatadogThis post details how Datadog product designers are using Datadog's RUM, logs, and notebooks to gather quantitative data on user experience. Specific examples include tracking monospace font usage to inform the selection of Roboto Mono, and using custom loggers within the DraggablePane component to identify underutilized features (minimize/maximize buttons) that were subsequently replaced with a double-click interaction. Additionally, the post describes the use of Datadog Logs to track custom time frame inputs in the DateRangePicker component to expand supported syntax.