AI features built into Jira for story generation, sprint health summarisation, backlog refinement, and issue classification.

AI writing assistant and content summariser in Confluence — drafts pages, summarises long documents, and suggests related content.

Atlassian's AI teammate for knowledge work: unified search across tools, conversational chat, and autonomous agent execution.

Autonomous AI worker that executes multi-step tasks in Atlassian products — create issues, update pages, trigger automations.

High-level Jira work item grouping related user stories for a feature or initiative, typically spanning multiple sprints.

Jira work item describing a feature from the user's perspective — format: As a [role] I want [goal] so that [benefit].

Structured acceptance criteria format: Given [context], When [action], Then [expected outcome] — makes stories testable.

Fixed-length iteration (typically 2 weeks) where a team commits to and delivers a set of work items from the backlog.

Organised area in Confluence for a team or project — contains pages, blogs, and attachments grouped by topic.

Atlassian-native test management add-on for creating test cases, organising test cycles, and tracking execution results.

Zephyr Scale container that groups related test cases for a specific execution run, such as a sprint regression suite.

Process of reviewing, estimating, and clarifying upcoming work items before they enter a sprint — also called grooming.

Team checklist of criteria every work item must satisfy before it can be marked complete, e.g. code reviewed, tests passing, docs updated.

Open protocol allowing AI assistants to call external tools and APIs, enabling Rovo Agents to act on third-party systems.

Sprint measurement of story points completed, used to forecast future sprint capacity and identify delivery trends.