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title: Find, analyze, and collaborate on user sessions in...
description: Datadog Session Replay now integrates session discovery, AI-powered analysis, and team collaboration into a single workspace. Engineers can find sessions tied...
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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

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

**[Datadog](https://daily.dev/sources/datadog)** · 6 min read · 1 upvotes · 1 comments

## Summary

Datadog Session Replay now integrates session discovery, AI-powered analysis, and team collaboration into a single workspace. Engineers can find sessions tied to specific errors via RUM, while product managers can access replays linked to funnel drop-offs in Product Analytics. AI-generated summaries and smart chapters highlight key moments and frustration signals (rage clicks, dead clicks, error clicks) before playback begins. Timestamped comments can be pinned directly to replay moments, with teammates tagged for notification. Two default playlists — 'All Mentions to Me' and 'Commented Replays' — help track flagged sessions across the organization. The result is a shared investigation workspace where product, design, and engineering teams can work from the same evidence.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.datadoghq.com/blog/session-replay-investigate-collaborate>

## Questions this post answers

### What new collaboration features does Datadog Session Replay have?

Datadog Session Replay now supports timestamped comments that can be pinned to an exact moment in a session recording, tagging specific teammates or teams for review. Mentioned users get an email notification linking directly to that timestamp, and comment links can be shared in Jira, Slack, or Confluence so teammates never have to search for the flagged moment.

_Teams comparing session replay tools for cross-team bug triage can track feature updates like this on daily.dev._

### How do AI summaries work in Datadog Session Replay?

AI-generated session summaries describe user intent, key actions, friction signals, and outcomes before playback starts, with specific moments hyperlinked for quick navigation. Smart chapters break the replay into labeled stages, and frustration signals such as rage clicks, dead clicks, and error clicks appear directly on the timeline so reviewers can skip to the relevant moment without watching the full recording.

_Developers evaluating AI-assisted debugging tools can follow session replay developments on daily.dev._

## Community discussion

Top comments from developers on daily.dev.

**@jhon3484** · 0 upvotes

> This reads as a feature list rather than an argument, and the fix is one concrete investigation walked end to end — a real drop-off found, chaptered, commented, and resolved — because a single traced example proves the "shared workspace" claim in a way that enumerating capabilities never will. The AI summaries are the piece's biggest asset and biggest unaddressed risk: a summary that points investigators at the wrong moment is worse than no summary, so the post should say how often it's right and, more importantly, show that every generated claim links back to the exact timestamp that...

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---

Tags: [#devops](https://daily.dev/tags/devops), [#product-management](https://daily.dev/tags/product-management)

[View this post on daily.dev](https://daily.dev/posts/find-analyze-and-collaborate-on-user-sessions-in-datadog-session-replay-maubvv3bz)

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