# How to Create Work Items with Rovo | Atlassian Answered Source: https://www.youtube.com/watch?v=ut_V0drv02c Recap page: https://rapidrecap.app/video/ut_V0drv02c Generated: 2025-12-08T19:34:43.891+00:00 --- ## Quick Overview Atlassian's Rovo AI solution integrates with Gmail and Jira to automatically create detailed Jira work items from chat messages or emails, streamlining the process of turning ideas and communications into actionable tasks without manual data entry. **Key Points:** - Rovo AI automatically converts selected chat messages (e.g., in Teams) or emails (e.g., in Gmail) into structured Jira issues using AI to generate the summary and description (0:41-0:51). - The tool can also process visual input, allowing users to upload a photo or whiteboard image to generate work items instantly (1:33-1:35). - Rovo analyzes the entire conversation context or document content (like Confluence pages) to populate the Jira issue fields comprehensively, including objective, context, scope, and success criteria (0:47-1:19, 2:05-2:09). - Developers can manage and update Jira issues directly from the command line interface using Rovo, enabling bulk edits (e.g., updating 1000 work items) without leaving the terminal (2:18-2:25). - The integration saves significant time by eliminating manual copying, pasting, and rewriting steps traditionally required when moving information from communication channels to Jira (1:55-1:57, 2:55-2:56). - The video encourages viewers to check out a free Rovo course linked in the description for further learning (0:17-0:18, 3:02-3:04). ![Screenshot at 0:41: Demonstration of Rovo AI automatically generating a Jira issue, including summary and description, directly from a selected chat message within a communication platform.](https://ss.rapidrecap.app/screens/ut_V0drv02c/00-00-41.png) **Context:** This video, part of the 'Atlassian Answered' series hosted by Kevin Lee from Atlassian Learning, demonstrates the capabilities of Rovo, Atlassian's AI-powered solution designed to bridge communication gaps and project management by integrating seamlessly with tools like Slack/Teams, Gmail, and Jira. ## Detailed Analysis The video explains how Atlassian's Rovo AI simplifies work item creation across various sources. Kevin Lee demonstrates three primary methods: converting chat messages or emails into Jira issues within the communication app interface (0:41). The AI reads the context of the selected message or thread to populate the Jira Summary, Description, Acceptance Criteria, and Other Information fields automatically (0:47-0:51, 0:49). Secondly, Rovo can create work items from visual sources; a user can upload a photo or an image of a whiteboard, and Rovo's AI will recognize the content and break it down into detailed, organized Jira tasks (1:33-1:39). Finally, Rovo integrates with the command line, allowing developers to execute bulk updates, such as adding a label to 1000 work items, directly via CLI commands without interrupting their workflow (2:18-2:25). The core value proposition is reducing manual work involved in translating ideas from communication (chats, emails, Confluence docs) into actionable, well-structured Jira tickets, thereby keeping teams focused on essential tasks (2:52-2:58). ### Introduction to Rovo AI - Rovo enables users to create and manage work from anywhere - It turns chats and emails into organized Jira tickets - It captures ideas from photos or whiteboards - It breaks down Confluence docs into detailed work items - It creates work items from the command line ### Creating Jira Issues from Chat/Email - Users select a message, choose 'Create Issue in Jira', and enable 'Use AI to generate description' (0:41-0:46) - Rovo analyzes the entire chat context to generate a full Jira issue with Summary, Description, Acceptance Criteria, and Other Information (0:47-1:19) ### Creating Jira Issues from Images - Users can generate work items instantly by uploading an image or photo of a whiteboard into Jira (1:33-1:35) - Rovo automatically recognizes and breaks down the visual content into structured work items (1:36-1:39) ### Managing Work via Command Line - Rovo works inside the developer's command line interface (2:20-2:21) - Users can create, update, or manage issues using CLI commands, such as bulk-editing 1000 work items by applying a label (2:22-2:25) ### Conclusion and Next Steps - Rovo simplifies capturing ideas and reduces manual work, keeping teams focused (2:52-2:58) - A free Rovo course is available via a link in the description for further learning (3:02-3:04) ![Screenshot at 0:04: Title slide showing the host, Kevin Lee, and the series branding 'Atlassian Answered' and 'Atlassian Learning'.](https://ss.rapidrecap.app/screens/ut_V0drv02c/00-00-04.png) ![Screenshot at 0:20: Visual demonstration showing a hand selecting an area of content, leading to the creation of a work item card, symbolizing AI content capture.](https://ss.rapidrecap.app/screens/ut_V0drv02c/00-00-20.png) ![Screenshot at 0:45: The 'Create an Issue' dialog box in Jira Cloud, showing the option to 'Use AI to generate description' based on the context of a communication thread.](https://ss.rapidrecap.app/screens/ut_V0drv02c/00-00-45.png) ![Screenshot at 1:05: A Gmail interface showing an email thread, with an arrow pointing towards the Atlassian integration panel used to create a Jira ticket.](https://ss.rapidrecap.app/screens/ut_V0drv02c/00-01-05.png) ![Screenshot at 2:22: A terminal window displaying a command being executed to edit 1000 Jira work items via the command line interface, confirming bulk operation capability.](https://ss.rapidrecap.app/screens/ut_V0drv02c/00-02-22.png)