Exporting data from a Jira Board to a CSV file is a straightforward process that can greatly enhance your data manipulation capabilities.
This guide will walk you through each step to ensure you extract your data efficiently.
We'll also explore how Sourcetable lets you analyze your exported data with AI in a simple to use spreadsheet.
To start exporting your Jira issues to CSV, navigate to the issue navigator. In Jira Server/Data Center, select Issues > Search for issues from the top navigation bar. In Jira Cloud, select Filters > Advanced issues search. The URL will be https://[$yoursiteURL]/issues/ for both platforms.
Use the JQL search feature in Advanced Search mode to find the specific issues you want to export. You can filter your data by project, type, or any other criteria, for example, use project=XYZ to search for issues in a specific project. Use ORDER BY created to sort the issues by creation date. Jira allows you to export the issues you have permission to view.
Once you have searched and filtered your issues, click the Export button in the top right corner of the Issue navigator page. The Export button allows users to export in multiple formats, including CSV and Excel CSV. Choose CSV to proceed with your export.
Keep in mind that some fields, such as Test Status in X-RAY, cannot be imported from CSV. Exporting your data as HTML is another option, which can then be imported into Excel or Google Docs for further manipulation.
1. Project Management |
Utilize Jira Work Management for effective project management. Whether for operations, sales, legal, finance, marketing, or HR projects, Jira boards streamline task management and ensure project alignment. |
2. Agile and DevOps Implementation |
Leverage Kanban boards in Jira to adopt and enhance agile and DevOps methodologies. These boards help visualize workflow, limit work-in-progress, and maximize efficiency, promoting smoother and faster project completion. |
3. Cross-Project Management |
Implement multiple or cross-project boards to manage larger projects or multiple workstreams. These boards offer summary views for leadership and facilitate team collaboration across different projects, enhancing overall project oversight. |
4. Workflow Optimization |
Use Jira kanban boards to optimize team workflows. These boards help identify bottlenecks, ensure transparency in communication, and provide full visibility into upcoming tasks, significantly improving workflow management. |
5. Enhancing Team Collaboration |
Enable better team collaboration by linking tickets between service and software projects in Jira. Automation rules to copy comments between tickets further enhance communication between customers and developers. |
6. Scrum Implementation |
Use Jira boards for scrum practices by displaying issues the team commits to within a sprint. This use case ensures clarity on task management and sprint goals, enhancing team clarity and accountability. |
7. Independent Workstream Management |
Facilitate independent workstream management with multiple boards within a single project. This approach allows teams autonomy over their workflow, ensuring efficient handling of different stages of a lengthy process. |
8. Executive Summary Views |
Use cross-project boards to provide executive leadership with summary views of ongoing projects. This use ensures that high-level stakeholders remain informed and can make strategic decisions based on comprehensive project insights. |
Sourcetable offers a unique approach to data management by combining data collection and real-time querying in a spreadsheet-like interface. Unlike Jira Board, which focuses on project management, Sourcetable centralizes multiple data sources for seamless accessibility and manipulation.
With Sourcetable, you can effortlessly pull data from various databases, ensuring real-time updates and accurate insights. This integration allows for more dynamic and flexible data analysis compared to the static nature of Jira Board's task tracking features.
Sourcetable's familiar spreadsheet interface enables users to easily query and manipulate data without needing advanced technical skills. This accessibility helps teams make data-driven decisions faster, enhancing productivity and efficiency beyond what Jira Board offers.
The most direct way to export Jira issues to CSV is to open the issue navigator, search for the issues you want using JQL, and click on the Export button in the top right corner.
To search for issues in a specific project in Jira, use the JQL search feature in Advanced Search mode with the query 'project=XYZ'.
No, CSV export is only available for issues you have permission to view.
To export Jira issues to Excel, open the issue navigator, search for the issues, and click on the Export button in the top right corner. Then, select the 'Excel CSV' option.
No, Test Status cannot be imported via CSV. For exporting, consider exporting as HTML and then importing that into Excel or Google Docs.
Exporting your Jira Board data to CSV is a straightforward process that enables easier handling and analysis of your project insights. By following the steps outlined, you can efficiently manage your project data in a universally accessible format.
Use the exported CSV data to unlock deeper insights and improve project outcomes. Sign up for Sourcetable to analyze your exported CSV data with AI in a simple to use spreadsheet.