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Data Export for Jira is an app that allows you to extract data from Jira and store it in a CSV format.

Here, we will provide the steps to create a Data Export for Jira, along with the UI design and requirements.

This application only works on Jira.

Steps Explanation

Step 1: Go to Jira Home -> Click on Apps drop down -> Click on “Data Export for Jira.”

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The application view will be displayed, providing you with the interface to interact with the tool.

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Step 2: Please choose the project for which you would like to extract the data.

The below screenshot shows the selection of All Projects.

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The below screenshot shows the selection of Multiple Projects.

Step 3: Select the User from user dropdown list.

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You can select either All Users or multiple users.

Step 4: Select the month/custom date.

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It has three drop-down options, as shown below:

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To extract the data, need to choose the period:

  • By default, the drop-down menu displays "Current Month."

  • If you want to extract the data for the current week, select "Current Week" from the drop-down menu.

  • If you want to specify a custom date range, select "Custom" from the drop-down menu.

  • Once you select "Custom," you will see two date fields: "Start Date" and "End Date."

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  • Choose the appropriate start and end dates to define the period for which you want to extract the data.

  • After selecting the desired date range, proceed with the extraction process (click on Apply filter) to obtain the data.

Step 5: Once all the fields are selected, click on Apply Filter.

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After clicking on the "Apply Filter," a dialog box will appear, which allows the user to select the desired issue fields.

The table will then display the data based on the user's chosen issue field.

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We can choose multiple issue fields apart from default ones.

Step 6: Select one or more issue fields from the drop-down list.

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The selected fields will appear along with the default issue fields.

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Step 7: Click on the Submit button after selecting the issue fields.

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The table displays 10 issues per page, with pagination for the subsequent 10 data entries.

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Step 8: After generating the data in the table, users can export it by clicking on the "Export" option, which allows them to save the data in CSV format.

Step 9: Clicking on the "Go Back" button to refresh the page and return to the main page.

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