Exporting data from Jira into a CSV file is essential for many organizations that rely on detailed data analysis and reporting. By converting Jira data into CSV, users can efficiently manage and interpret their project information.
In this guide, we will walk you through the steps to export your Jira data to CSV. Additionally, we will illustrate how Sourcetable enables you to analyze your exported data with AI in a simple-to-use spreadsheet.
Exporting Jira issues to CSV format allows you to effortlessly utilize your data in other platforms like Excel or Google Docs. Follow these steps to export your Jira data to CSV and maximize your data analysis capabilities.
To export Jira issues to CSV format, follow these straightforward steps:
1. Navigate to the board or project you want to export.
2. Click on Issues in the left sidebar.
3. Select View all issues and filters at the top right of your screen.
4. Click the Export dropdown menu located in the top right corner.
5. Choose CSV from the export options.
The most direct way to export issues to CSV is through the Issue Navigator. This feature lets you search and filter the issues you want to export.
To use this method, enter the Issue Navigator and search for the relevant issues. Then, click the Export button in the top right corner and select CSV from the export options.
Exporting to CSV is available in both Jira Cloud and Jira Server/Data Center. In Jira Cloud, use the top navigation bar to select Filters > Advanced issues search. In Jira Server/Data Center, go to Issues > Search for issues.
In both versions, once the issues are filtered, click the Export button at the top right and select CSV.
You can use Jira Query Language (JQL) to select specific issues for export. After running your JQL query, export the results using the regular export method. This is useful for exporting targeted datasets based on specific criteria.
Keep in mind that exporting issues to CSV format may be limited to a specific number of issues, typically up to 1,000. Additionally, not all issue fields may be available for CSV export. For more data manipulation options, you can export issues to HTML and open the file in Excel or Google Docs.
Agile Project Management |
Jira is primarily used for Agile project management, especially for software development teams. It supports Scrum, Kanban, and mixed methodologies. Teams can plan, track, and manage projects using agile boards, backlogs, roadmaps, reports, integrations, and add-ons. |
Team Collaboration |
Jira enhances team collaboration by allowing different teams to use various Jira products under the same instance. Teams can also link tickets from different projects, ensuring seamless collaboration and issue tracking. |
Integration with Popular Tools |
Jira integrates with tools like Slack, Microsoft, Google, and Zoom. The Atlassian Marketplace offers thousands of apps that integrate with both popular and niche tools, providing immense flexibility and enhancing workflow efficiency. |
Custom Workflows and Boards |
Jira allows users to create custom workflows and offers multiple types of boards, including Kanban and Scrum. This helps teams visualize task progress and keep all team members on the same page. |
Comprehensive Reporting |
Jira's reporting features enable teams to track their progress effectively. These reports help in visualizing and managing workflows, ensuring that all issues are monitored and resolved in a timely manner. |
Gantt Charts in Project Management |
Project managers use Gantt charts within Jira to visualize project plans, consider alternative sequences of events, anticipate obstacles, and brainstorm solutions. These charts are beneficial in Classic, Agile, and Hybrid projects. |
Design Integration |
Jira integrates with design tools like Adobe XD, Invision, and Figma. This allows teams to access prototypes, design specs, and automatically updated designs in Jira issues, facilitating smoother design workflows and collaboration. |
Real-Time Monitoring and Automation |
Tools like Opsgenie and Dynatrace integrate with Jira to sync issues and bring real-time monitoring data into Jira. ScriptRunner automates Jira events, schedules scripts, and finds issues using JQL functions, greatly enhancing efficiency and response times. |
Sourcetable is a powerful alternative to Jira, designed for users who need a unified data management solution. Unlike Jira, Sourcetable consolidates all your data from multiple sources into a single, accessible spreadsheet.
With Sourcetable, real-time data querying is simplified and more efficient compared to Jira. Its spreadsheet-like interface allows for straightforward data manipulation, making complex data sets easy to manage and interpret.
Jira can be limited when handling diverse data sources. Sourcetable excels in this area by integrating seamlessly with numerous databases, offering a centralized platform for all your data needs.
For teams requiring dynamic and flexible data interactions, Sourcetable provides the superior choice. The familiar spreadsheet interface reduces the learning curve, enhancing user productivity and data-driven decision-making.
To export Jira issues to CSV, open the issue navigator by clicking on Issues > Search for Issues in the top navigation bar. Use filters or JQL to search for issues you want to export. After filtering, click the export button located in the top right corner and select the Export Excel CSV option.
The most direct way to export issues to CSV in Jira is to open the issue navigator and search for issues to export. Make sure you have the necessary permissions to view these issues.
Yes, CSV exports from Jira are limited to 1,000 records at a time and do not include all fields. Additionally, certain data such as Test Status cannot be imported via CSV.
If the option to export to CSV is not appearing, you may need to switch views. Also, it is possible that the Jira application has been updated to a newer version that affects the export options.
Yes, you can filter the data to export by project, type, or other criteria using JQL in the issue navigator. After applying the filters, proceed to export the filtered issues to CSV.
Exporting data from Jira to CSV is a straightforward process that enables more flexible data analysis and reporting.
Following the steps outlined ensures that you can transfer your needed data accurately and efficiently.
Sign up for Sourcetable to analyze your exported CSV data with AI in a simple to use spreadsheet.