So yes, it’s possible to write a bit of python code that will connect to Jira Cloud (or Jira Server if you run Jupyter not so far away the Jira Server instance) Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. So the data can be accessed by this way very easily. Jira comes with a very powerful REST API. How can I produce the report I want to produce ? Introducing the API and Jupyter Sometime a plugin can answer but I want to find a more generic solution to this issue. Or we are using Epics to track our most important features, but the time spent is at the Story level, there is no easy way to know how many time a specific Epic took.
So it’s really easy to put the data in Jira but there is no pre-built system to produce an analysis for each sprint and know how many time have been spent for #DEV or #TEST. The more we are using it and feeding data in it, the more information I want to be able to read.Ī typical exemple: for each task each user is providing the time spent for different activities: development, review, test… We are adding tags in the comment box of the work log: It comes with a lot of capabilities for managing Agile team, and lots of reports:īut sometimes I feel a bit limited by the output generated by the tool.
#Jira client reports read only software
It’s my main tool and it’s a very common solution to manage software development. As a Product Owner, I am using a lot Jira in the company I am working for.
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