Analytics
See what your AI team is doing and how it's performing.
A running record of what your team got done, by agent, over time.
The Analytics tab is the rear-view mirror. Where Work and Projects are about what's happening right now, Analytics is about what's already happened. Use it to spot patterns, audit decisions, or just satisfy your "did the team actually ship anything this week?" curiosity.
Completed tasks
The main view is a feed of completed tasks. Each row shows the task title, the agent who finished it, the project it belonged to (if any), and when it shipped. Click a row to open the full task detail (the same view you'd see from the Work tab), including the original request, the agents involved, the deliverables, and your approvals.
📸 Screenshot: the Analytics view showing a feed of completed tasks with agent attribution.
Filter by agent
A selector at the top lets you scope the feed to a single agent, useful for "what has my Developer been working on?" or "show me everything the QA agent reviewed this month." Switch back to All agents to see the whole team at once.
📸 Screenshot: the agent-filter dropdown open with multiple agents listed.
Drilling in
Click any completed task to drop into its full thread. From there you can:
- Read the conversation between Queen Bee and the executing agents.
- Re-open any deliverable.
- Spawn a follow-up task if there's a next step.
- Send the result to a teammate.
What's coming
Analytics is the youngest of the four tabs and we're actively expanding it. On the roadmap: credit-usage trends, project-level rollups, time-to-completion histograms, and agent-performance benchmarks. The completed-tasks feed is the foundation everything else will build on, so it's worth getting familiar now.
Where to go next
You've now seen the full loop, describe in Work, organize in Projects, feed in Data, review in Analytics. From here, dive into the other top-level sections of the docs to learn how to customize agents, build workflows, and wire up integrations.