Find, analyze, and collaborate on user sessions in Datadog Session Replay

Datadog Session Replay, available through Real User Monitoring and Product Analytics, centralizes the process of finding, analyzing, and discussing user-session issues for engineering, product, design, and support teams. Users can locate relevant replays through correlated errors, funnel drop-offs, and filters for attributes such as user, device, browser, and error type, while AI-generated summaries, smart chapters, and timeline friction signals help identify important moments without reviewing an entire recording. Timestamped comments and team mentions remain attached to specific replay moments, notify collaborators, and can be shared through tools such as Jira, Slack, and Confluence, with playlists collecting relevant mentions and commented sessions. The platform is presented as a shared investigation workspace that preserves evidence and discussion from an initial discovery, such as a checkout failure, through engineering fixes and design improvements.

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