Data Export for Jira Features Phase 1

Data Export for Jira

Introduction:

The Data Export for Jira is a feature in Jira that allows users to extract data from Jira and store it in a desired format. This feature is helpful for tracking employee productivity, analyzing team performance, or generating reports for clients. In this documentation, we will provide the steps to create a Data Export for Jira, along with the UI design and requirements.

Feature List: Data Export for Jira in Jira:

The Data Export for Jira in Jira has the following UI design and requirements:

1. Projects Field:
   The Projects field is a text input field where users can enter the project names. This field can also include a drop-down menu or autocomplete functionality to allow users to select from existing projects.

2. Users Field:
   The Users field is a text input field for users to enter the usernames of team members associated with the projects. Again, you can include a drop-down menu or autocomplete functionality to facilitate user selection.

3. Date Range Field:
   The Date Range field allows users to specify the start and end dates for the time range they want to retrieve worklog data for. This can help users filter the data based on a specific date range.

4. Download Filter Data Button:
   The Download button is a button labeled "Download" that users can click to initiate the download of worklog data based on the projects, users, and date range specified. This can trigger a backend process that generates a downloadable file in a preferred format, such as CSV or Excel.

5. Data Export for Jira Table:
   The Data Table is a table that displays the worklog data in a tabular format. The table has columns such as Project Name, User, Issue/Task, Time Spent, and Date. Each row in the table represents a worklog entry for a particular project, user, and issue/task. Sorting and filtering options are included to allow users to sort and filter the table data based on their needs.

6. Pagination:
   If the table contains a large amount of data, pagination is implemented to limit the number of rows displayed per page. Navigation buttons or a drop-down menu are included to allow users to navigate through different pages of the table and view the Data Fetcher in a more organized manner.

Open

Updates for the App:

Following discussions with the marketing team, there is a request to enable multi-select functionality for user filters.