
Meet your instructor and get a roadmap of everything you'll build: a fully functioning custom workflow with restrictions, validations, automated actions, and AI agents — deployed into a real Jira space by the end of the course. You'll also learn which Jira plan and permissions you need to follow along.
In this video we'll get a better idea of the scenario for our project.
In this lesson, we'll start building a real software development workflow in the Jira workflow editor: custom statuses like Code Review and QA Testing, purposefully named transitions like "Submit for Review" and "Request Changes," and global transitions that let work get blocked or cancelled from any status. You'll finish with a complete, connected workflow diagram.
In this lesson, we'll make the "Submit for Review" button disappear for anyone outside the Developers group and watch the same work item behave differently for two different users. Instead of hoping your team remembers the rules, Jira enforces them for you.
Stop hoping people remember to fill in critical fields. In this lesson, we'll pop up a screen asking them exactly what's needed right at the moment of the transition, including how to build the screen and create the releases that power the Fix Versions field.
When "please fill this in" isn't strict enough, hard-block the transition. In this lesson, we'll learn how Validate Details rules check that required data actually exists before work can move forward, and how rule order determines whether users get a friendly prompt or an error.
Automate the busywork: auto-assign work items to the right person the instant they enter a status, update fields, and stack multiple actions in the right order so nothing fires at the wrong time.
Watch Rovo's AI triage agent analyze a work item the instant it's submitted for code review. We'll see how it can automatically suggest priorities, flagging duplicates, recommend assignee changes. You'll also learn about Rovo plan requirements and credit consumption, so you deploy AI where it genuinely adds value.
Should a bug go through the same QA gauntlet as a feature? Not necessarily. Build a second workflow and use a Workflow Scheme to map it to bugs, then watch the same space run two completely different processes side by side.
Connect everything to your team's daily view. Map your custom statuses to board columns, drag cards across the board, and see your workflow rules fire behind the scenes, including why dragging work from one column to another might be blocked (and why that's a feature, not a bug).
Walk away with the mindset that separates confident workflow admins from frustrated ones: start simple, match workflows to how your team actually works, be intentional with AI credits, and iterate based on real team feedback.
In Team Workflows in Jira, you'll learn how to build a custom workflow from scratch that reflects your team's real process by using an example of developers submitting work for code review, a QA lead gating releases, items getting blocked or rejected, and AI giving reviewers a head start before they even open the work.
Rather than hoping people follow the rules, you'll learn how to have Jira enforce them for you. You'll master the four types of workflow rules: Restrict Transition (formerly Conditions), Request Input, Validate Details (formerly Validators), and Perform Actions (formerly Post Functions). You'll also learn how to trigger Rovo AI agents to triage work items automatically and give Bugs a completely different lifecycle from Tasks using Workflow Schemes. Then you'll tie it all into your Agile boards.
By the end of the course, you'll have a fully functioning custom workflow deployed into your own Jira space. That includes restrictions, validations, automated actions, and AI agents. All of it working together.
What you'll learn:
Core Concepts: Understand the relationship between Statuses, Transitions, and Categories in Jira.
Custom Workflow Design: Build a robust software development lifecycle with Code Review, QA, and Blocking states.
Workflow Rules: Master the four rule types: Restrict Transition, Validate Details, Request Input, and Perform Actions.
AI Integration: Configure Rovo AI agents to analyze and triage work items upon transition.
Workflow Schemes: Map specific workflows to specific Work Types (Issues) within a Space.
Agile Integration: Connect your custom workflows to Scrum and Kanban boards.
Who this course is for:
Jira Administrators and Space Admins looking to gain full control over workflow logic.
Project Managers and Team Leads who need to enforce process compliance.
Developers and QA engineers who want to understand the workflow mechanics behind their boards.