Digital Experience Monitoring

Monitor the user journeys that drive your business

Delivering a great digital experience means more than keeping your applications up and running. AI is raising user expectations while accelerating how quickly teams build and ship, making it harder to know whether every change actually works for users.

Teams need to proactively test critical workflows before users encounter them, monitor real user experiences to quickly detect and investigate technical issues, and understand user behavior to make better product and development decisions. But these signals often live in separate tools, leaving product and engineering teams with different views of the same user journey. By connecting these signals around the journeys users are trying to complete, teams can understand whether users are actually succeeding—not just whether individual systems are healthy.

Datadog Digital Experience Monitoring (DEM) brings together Synthetic Monitoring, Real User Monitoring (RUM), Session Replay, Product Analytics, and Experiments in one platform. Together, these capabilities connect availability, performance, and user behavior around the journeys that matter, giving teams a shared view from user intent to outcome. Teams can resolve technical issues faster, validate improvements with real users, and continuously deliver better digital experiences.

Catch broken experiences before your customers do

Modern applications don't fail at a single endpoint—they break somewhere along the journey, and testing pages or APIs in isolation can leave gaps that only surface when a customer encounters them.

Datadog Synthetic Monitoring & Testing verifies critical user journeys across environments, devices, and locations. Bits Testing uses AI to discover user workflows and build the Goal-Based, Browser, API, and Network Path tests needed to cover them, expanding coverage as applications evolve. Goal-based tests validate that a specific user outcome, including non-deterministic behavior from AI-powered features, is achieved end to end, whether run inside a broader workflow or on their own. Test Suites group these related tests, giving teams a unified view of workflow health and helping them quickly identify where failures occur.

When something fails, AI-powered failure analysis helps teams separate actionable incidents from noise, while Bits Investigation from Synthetic Monitors correlates test results with traces, logs, and infrastructure data to accelerate root-cause analysis. Suite-Level SLOs help teams continuously track whether the critical journeys their customers and business depend on are working as expected.

Monitor frontend availability and resolve user-facing issues faster

Datadog Real User Monitoring measures the availability and performance of frontend applications with out-of-the-box metrics, including Core Web Vitals, crash-free rates, app start time, and screen load duration, so teams can quickly identify when real user experiences degrade and understand who is affected.

When an issue occurs, RUM correlates frontend sessions with backend traces in a single platform, helping engineering and SRE teams determine whether an issue originates in the frontend, backend, or a downstream dependency. Error Tracking automatically groups related errors into actionable issues with full stack traces and session context, while Session Replay helps teams see exactly what users experienced before and during an issue.

Understand user behavior and build better product experiences

Understand not just where a user journey breaks down, but why. Datadog Product Analytics shows how customers move through your application with funnels, user paths, and retention analysis, but also where they convert, where they drop off, and which segments hit the most friction. Session Replay brings those insights to life with a video-like view of individual sessions, helping teams see the experiences behind behavioral trends and uncover opportunities to improve.

Reduce MTTD and MTTR with unified, full-stack visibility

When a user journey breaks, the root cause can live anywhere across the frontend and backend stack. Datadog DEM unifies signals across the stack, so teams can investigate user-facing issues without manually correlating data across disconnected tools.

With frontend metrics, we can quickly identify issues and support backend teams to act fast, avoiding customer impact.

Thiago Morais
Associate Director, Itaú Unibanco

An end-to-end trace from a single user session that includes a breakdown of frontend and backend latency.

Move from a failed Synthetic test or affected RUM session to the relevant frontend error, backend trace, service, log, or infrastructure signal while staying tied to the affected user session. SREs can understand which critical journeys are affected, engineers can trace issues to their technical root cause, and product teams can connect application performance with user behavior and business outcomes.

With a shared view of user experience and system health, teams can detect problems earlier, resolve them faster, and continuously improve the journeys their users depend on.