Tapping Into Jira’s Hidden Treasure

Learn to use the Enhanced Jira Query Tool to easily retrieve the data you need from Jira and build analytics

You will learn

  • How to create, configure, and utilize the Enhanced Jira Query Tool
  • How to structure their workflows to get the most out of the tool
  • Using the tool for some basic cycle and lead time analysis

Tapping Into Jira’s Hidden Treasure Course content

9 sections • 19 lectures • 2h 55m total length

Description

During the course I will do a quick overview of the tool and will then show you everything you need to know to set up, configure, and execute queries with the EJQT tool. When you have finished the course you will be able to easily retrieve additional Jira field properties otherwise unavailable as well as derived fields like issue cycle and lead times, status times, wait times, and unplanned work.  I will cover most of what is covered in the EJQT Guide, but go into more depth and walk through additional examples than are provided in the guide.

I will also discuss good workflow design characteristics such as using a pull based approach, managing the flow of work, visualization, transparency,  and continuous improvement. Finally, I will walk you through how you can utilize some of the derived fields like cycle time, wait time, and flow transition dates to develop flow based analysis in Google Sheets that will allow to gain a deeper understanding of your processes and where you have potential opportunities for improvement.

After completing the course you will have learned everything you need to know to be able to retrieve data from your Jira instance using the Enhanced Jira Query Tool and should feel confident and creating flow based analysis for your projects

This course is good for:

  • This course is for anyone interested in utilizing the EJQT tool for easier access to Jira’s data and/or deriving flow based metrics like cycle and lead time

Enroll now

https://www.udemy.com/course/tapping-into-jiras-hidden-treasure/9df3d9e7e3d9b07818ab813770b4566f3eec9788

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