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Rovo Deep Research: A Practical Guide
From the archive
What does Rovo Deep Research do?
Rovo Deep Research turns a complex question into a research plan and a report supported by linked sources. Use it for questions that need evidence across Jira, Confluence, and connected information, then check the findings before acting on them.
- Define the question: specify the project, time period, and decision the report should support.
- Review the evidence: inspect the linked sources and identify missing or conflicting context.
- Choose the action: have the responsible person validate the conclusion and decide what happens next.
How Rovo Deep Research works
Rovo Deep Research is essentially Atlassian’s new AI detective living inside your Jira, Confluence, and other Atlassian tools. Atlassian calls it “advanced AI designed to tackle the toughest questions and uncover meaningful insights hidden across your apps and data sources”. In plain English, that means you can ask Rovo complex, open-ended questions about your projects or business, and it will gather and analyze information from across all your connected tools, then present you with a neatly formatted report of findings. No more hopping between Jira tickets, Confluence pages, Slack threads, and emails to piece together the story – Rovo does the legwork in minutes.
How does it pull this off? Rovo Deep Research breaks down your big question into smaller research tasks (just like a savvy human analyst would) and then combs through your company’s knowledge bases, tickets, documents, and even integrated third-party apps for answers. It leverages Atlassian’s Teamwork Graph – the unified data layer that connects all your work in Atlassian – to ensure it’s looking at the full picture. The result is a comprehensive report, complete with clear references back to the source material (yes, it even cites its sources for you!). The reports are delivered right where you work – for example, as a beautifully formatted Confluence page – so you don’t have to chase information across different apps.
In short, Rovo Deep Research gives your team an AI-powered research buddy. You ask a question in natural language, and it gathers the evidence and sums it up for you. Think of it as an AI Sherlock Holmes for your internal data, minus the deerstalker hat. For everyday questions that do not need a full research report, see our guide to asking Rovo Chat for company knowledge.
Why Rovo Deep Research matters
The value is bringing relevant evidence together so a team can examine a question with more context.
- Connect related information: compare Jira work, Confluence decisions, and connected source material instead of reviewing each tool in isolation.
- Reduce manual collation: start with a synthesized report, then spend review time on the evidence and gaps. Measure the time saved in your own workflow.
- Make findings inspectable: follow citations to the original material and check dates, scope, and conflicting accounts.
- Support different teams: investigate customer feedback, project blockers, or incident history using questions in natural language.
A report is a starting point for judgment. It does not establish that every relevant source was available or that every conclusion is correct.
How to use Rovo Deep Research
- Open Rovo Chat and select Deep Research: choose the mode explicitly for the request.
- Give it a bounded question: for example, “What were project X’s main blockers last quarter, how were they resolved, and which work items support that conclusion?” Add relevant context or files where appropriate.
- Keep the chat open: Atlassian says a response can take up to 15 minutes. Review the research plan and resulting report.
- Check the sources: open the linked Jira work items, Confluence pages, or other records. Confirm that examples support the conclusion and that important evidence is not missing.
- Assign the next action: use the reviewed findings in planning or a retrospective, with a person accountable for any resulting decision.
Follow Atlassian’s current Deep Research instructions. Deep Research consumes Rovo credits, so include usage in your pilot review. For smaller requests, compare the available Rovo Chat reasoning modes.
A useful first test is a familiar project or incident whose history the reviewers already know. Compare the report with that known record before using the workflow for less familiar questions.
Putting research into practice
Atlassian’s Rovo Deep Research is like getting a new super-smart teammate who loves the boring stuff so you don’t have to. It finds answers in the nooks and crannies of your company’s data, so you can spend less time playing data detective and more time being creative, strategic, and, well, getting actual work done. In a world where knowledge is power (and time is money), having an AI sidekick to lighten the research load is a pretty exciting development. Give it a whirl and unleash that “aha!” potential in your own workflow. Who knows – by next week you might have solved that persistent project mystery or identified a brilliant improvement, all thanks to a friendly bot named Rovo doing the deep digging for you. And if not, at least you’ll have more free time to enjoy an extra coffee while Rovo burns the midnight oil (figuratively speaking, of course). On that note, we’ll sign off and let you start experimenting with your new AI detective. Have a fantastic week, and join us again next Friday for another tech tune-up on the Weekly Avaratak Blog. We’ll bring the wit; you bring the curiosity. Happy researching! 🎉