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Streamline Jira Workflows, Analyze Bottlenecks Fast

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Streamline Jira Workflows, Analyze Bottlenecks Fast

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Beginner level

Recommended experience

2 hours to complete
Flexible schedule
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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Configure Jira workflows to model team processes and analyze usage data to identify and resolve bottlenecks, improving efficiency.

Details to know

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Recently updated!

January 2026

Assessments

3 assignments¹

AI Graded see disclaimer
Taught in English

Build your subject-matter expertise

This course is part of the Jira Workflow Automation & Optimization Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There is 1 module in this course

Streamline Jira Workflows, Analyze Bottlenecks Fast is a beginner-level course designed for IT, operations, and project management professionals who want to master process optimization in Jira. You will move beyond default settings to build and refine workflows that perfectly mirror your team's operational value stream. Learn to configure custom statuses and transitions, and then dive into the data to uncover what is really happening. Through practical screencasts and hands-on activities, you will learn to export usage reports, identify hidden bottlenecks where work stalls, and diagnose the root causes of delays. The course culminates in your development of data-driven recommendations to simplify and automate your processes. You will leave with the ability to not only manage Jira, but also to use it as a powerful tool for continuous improvement, directly boosting your team's productivity and delivery speed.

This module provides a comprehensive guide to transforming your team's efficiency using Jira. You will start by learning why well-defined workflows are critical and then dive into the "what" and "how" of building them from the ground up. You will learn to configure statuses, transitions, and resolutions to perfectly map your team's process. Then, you will shift from building to analyzing, using Jira's data to uncover hidden bottlenecks, diagnose root causes, and propose simplifications. The module integrates hands-on practice and real-world examples, culminating in a final project where you will optimize a workflow to achieve a significant boost in productivity.

What's included

4 videos3 readings3 assignments

4 videos•Total 29 minutes
  • From Chaos to Clarity: Why Jira Workflows Matter•7 minutes
  • Building Your First Jira Workflow•9 minutes
  • The Hidden Cost of Delay: Finding Bottlenecks•6 minutes
  • Analyzing Workflow Data in Jira•6 minutes
3 readings•Total 24 minutes
  • Jira Workflows: The Core Components•8 minutes
  • Common Jira Workflow Mistakes and How to Fix Them•8 minutes
  • Using Jira Automation to Streamline Processes•8 minutes
3 assignments•Total 60 minutes
  • Final Project: Analyze and Optimize the IT Support Workflow•30 minutes
  • Hands-on Learning (HOL): Build a Custom Workflow for a Software Bug Lifecycle•20 minutes
  • Knowledge Check: Workflow Configuration•10 minutes

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.