Team Workflows in Jira: Master Custom Workflows, Rules & AI

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.