Product Updates

You can now route user feedback directly to Slack using the LaunchDarkly Slack bot. When a user submits feedback on a feature flag, your team gets a real-time notification in the Slack channel where they already work complete with sentiment signals, feedback content, and the exact flag variation the user saw.

What’s new

• Route feedback to any Slack channel your team uses
• See sentiment, feedback content, and flag variation context right in the notification
• Set it up in seconds from the Feedback tab on any feature flag

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A new Service Map dashboard is now available as part of the default Observability dashboards. This built-in view automatically discovers and visualizes relationships between services, helping you understand how traffic and errors move through your system.

The dashboard aggregates service-level request volume and error counts so you can assess dependencies and blast radius without building custom dashboards.

With service maps, you can:

• Identify upstream and downstream dependencies
• See which services generate the most traffic
• Pinpoint where errors originate and how they propagate

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You can now start an experiment directly from the AI Config rollout experience. A new Run an experiment option appears in the targeting tab and rule overflow menu, making it easier to connect experiments to AI Config releases.

When selected, LaunchDarkly automatically opens the Create Experiment workflow with the AI Config and targeting rule preselected. This provides a guided path from rollout to experiment setup without leaving the page.

Views give teams a dedicated way to organize flags and segments within a project, and control who has access to what.

Views are a project-level resource for grouping flags and segments by team, feature area, or any boundary that makes sense for an organization. Views can be used in custom role policies to restrict access, so teams only see and manage the resources they work with, all within a single project.

Previously, customers relied on tags in custom role policies to scope access. That pattern was fragile, required separate roles for each project/tag combination, and did not support role attributes. Views replace this with a purpose-built grouping mechanism that supports role attributes, governance enforcement, and full Terraform management.

With Views, teams can:

• Group flags and segments by team or feature area
• Scope the UI using the Views dropdown on Flags and Segments
• Define reusable, parameterized RBAC roles using role attributes
• Require new flags and segments to be linked to a View
• Manage Views and associations through Terraform

Availability
Generally Available (GA) for Enterprise and Guardian customers.

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Observability dashboards and alerts can now display feature flag targeting changes directly on charts. When enabled, flag updates appear as overlays on metric graphs.

This makes it easier to correlate spikes in errors or performance changes — such as latency increases — with recent flag changes, helping teams quickly answer, “Did a release cause this?”

To use it, enable Show flag changes on any dashboard or alert to overlay flag events.

Availability
GA for customers using LaunchDarkly Observability.

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