For AI agents: A markdown version of this page is available at https://docs.datadoghq.com/real_user_monitoring/ai_investigations.md. A documentation index is available at /llms.txt.

AI Investigations

Overview

Investigating poor user experience in RUM typically means switching between session replays, error panels, traces, and performance timelines to piece together what went wrong. AI Investigations automate that first-pass triage. Datadog’s RUM agent inspects the data attached to your views and surfaces ranked, categorized root-cause findings directly in your RUM workflow.

This page lists the available investigation types.

Single-view AI investigation

Run an agentic investigation on a single RUM view to investigate performance issues or identify optimization opportunities on that specific page or screen. Datadog’s RUM agent inspects the view event and its sub-events to identify root causes from sources spanning the application, the backend, third-party libraries, and the user’s network environment.

A Single-View AI Investigation surfacing root cause findings for a RUM view.

For more information, see Single-View AI Investigation.

Further reading

Additional helpful documentation, links, and articles: