Datadog, Inc. (NASDAQ: DDOG), the leading AI-powered observability and security platform, today showcased new features of its Digital Experience Monitoring (DEM) suite: Journey Monitoring and Bits Testing. As part of the DEM suite, these features help teams monitor whether users can complete business-critical flows like checkout, sign-in and onboarding, and verify those flows keep working as their applications change.

Organizations today struggle to answer two questions in their user journeys: “Did the user succeed in their journey?” and “Does the user journey work consistently, even as the application changes?”

With Journey Monitoring and Bits Testing, Datadog is helping teams answer those questions. Journey Monitoring puts conversion, traffic and availability for each journey into a single view so teams can instantly see when and why a conversion dropped, and know if the journey was successful. Bits Testing builds coverage from a plain-language prompt and adds goal-based testing — a Synthetic test type that verifies an outcome instead of replaying a script — so tests survive redesigns and automatically cover AI features whose output changes each run to ensure that user journeys still work even as the product changes underneath them.

“We don’t think of AI as a feature you add to a product. We think of it as what should be running underneath everything — infrastructure, security and now the user journey. Journey Monitoring and Bits Testing apply that idea end-to-end to find the journeys that matter and use AI to keep testing them as the product changes,” said Yanbing Li, Chief Product Officer at Datadog.

Journey Monitoring gives teams:

• One hub for every critical user journey with data from Real User Monitoring, Synthetic Monitoring and Product Analytics available in a single view, so engineering and product teams see the same picture.
• Ongoing analysis of real user traffic to detect the high-volume paths users take to the same outcome, so critical flows are ready to monitor before anyone files a support ticket.
• Color-coded health indicators and SLO breach badges to see what’s at risk before investigating. Because journeys are interconnected, the journey map shows how an issue in one journey can affect those upstream and downstream of it.

Bits Testing gives teams:

• Coverage that scripted tests structurally can’t provide. Goal-based testing verifies the outcome itself, not a script, to discover high-value paths to a plain-language goal and flags exactly where code breaks. Because it rediscovers paths at runtime, it adapts automatically as a product changes, making it especially suited to non-deterministic AI features.
• AI-native test creation as Bits Testing turns any plain-language prompt into a complete test suite spanning browser, API, network and goal-based tests, so coverage keeps pace with every release without a line of code.

“Datadog provides visibility and operational control as AI creates complexity. We do so from two directions: agentic capabilities like Bits Testing that continuously test journeys, and those like Journey Monitoring that autonomously discover and observe the most critical customer paths,” said Li.

Datadog is showcasing these new capabilities ahead of its presence at Datadog Summit San Francisco (Sept 23) and Tech Week Singapore (Sept 29–30), where Datadog executives will be on-site and available for media briefings.

To learn more, read the blog posts for Journey Monitoring and Bits Testing.