Atlassian Intelligence is a suite of capabilities that can streamline and enhance collaborative work. It offers various features to help with project management, communication, and productivity across Atlassian products like Jira and Confluence.
Atlassian’s AI definitions feature lets you define company-specific terms, acronyms, project names, and statuses directly on a Confluence page. Companies often develop their own terminology to define concepts, projects, and processes unique to their organization. Having access to AI-driven definitions directly on a page accelerates collaboration by ensuring team members can quickly understand and align with these specific terms without needing to leave their workflow.
Keep reading to learn everything you need to know about how to use AI definitions.
Understanding Atlassian Intelligence
Atlassian Intelligence uses advanced natural language processing (NLP) to understand and interpret inputs, allowing you to interact with the tools more naturally and intuitively, such as by asking questions or giving commands.
You can use Atlassian Intelligence to automate tasks like ticket creation, status updates, and workflow transitions. It can also help you understand a user’s work, provide relevant suggestions, and generate content.
Learn how Atlassian Intelligence works to get an idea of all the tasks you can perform with it.
So, why should companies use Atlassian intelligence?
- Enhanced productivity: With automation and AI-driven insights, teams can focus on strategic tasks instead of mundane administrative work, leading to higher productivity and efficiency.
- Improved decision-making: Data-driven insights and predictive analytics help teams make more informed decisions for better project outcomes.
- Streamline collaboration: AI features facilitate better communication and collaboration among team members.
How to define terms with Atlassian Intelligence
Atlassian Intelligence offers a convenient way to understand and define terms directly within Confluence pages or blogs.
Keep in mind that these definitions are accessible only when viewing a Confluence page or blog and are not available in the AI editor. This ensures that users can gain knowledge on the pages they’re reading without interfering with content creation and the existing content on the page.
Follow these steps to define terms with Atlassian Intelligence:
Highlight what you want to define
If you come across a term you don’t know, simply highlight the acronym, word, or phrase. This action tells Atlassian Intelligence that you want more information about the selected text.
Select Define
After highlighting the term or phrase, you’ll see a small toolbar pop up. Find and click on “Define.”
Instantly receive a definition
Atlassian Intelligence quickly defines the highlighted word. This definition appears instantly on the same page, so you’ll never have to navigate away from your current document.
Why use Atlassian Intelligence definitions?
Atlassian Intelligence definitions address a common challenge teams face — the diverse and often complex jargon unique to each organization. This obstacle can hinder onboarding, project transitions, and catching up on crucial information.
With access to clear and consistent explanations of terms directly on Confluence pages and blogs, Atlassian Intelligence definitions offer these advantages:
- Efficiency: Team members no longer have to leave the page, send their project manager an email, or wait for a coworker to get back to them when they’re confused about a specific term. Atlassian Intelligence definitions provide instant access to clear and concise explanations of terms, saving time and effort.
- Consistency: By relying on Atlassian Intelligence for definitions, teams ensure a consistent understanding of terminology across projects and roles, reducing the risk of miscommunication and confusion.
- Clarity: Clear definitions help team members understand the context and significance of terms related to their work. A new developer can understand specific terminology and concepts to reduce the time needed for onboarding and getting up to speed.
- Accessibility: AI definitions are readily available within Confluence pages and blogs, making it easy for team members to access relevant information without disrupting their workflow.
- Versatility: Teams can use Atlassian intelligence definitions for a wide range of terms, including those related to people, roles and responsibilities, teams, projects, programs, and more.
- Cross-functional use: Whether someone is a developer, project manager, marketer, or any other role, having access to clear definitions enhances their understanding, preventing misunderstandings, delays in project delivery, and inefficiencies in communication.
- Elimination of confusion: With AI definitions readily available, team members no longer need to wonder, “What does that mean?” or “What is the context of this term?”. This ensures everyone is on the same page, promoting smoother collaboration and alignment toward common goals.
Integrating Atlassian Intelligence definitions into your daily workflows
Any team can integrate Atlassian Intelligence definitions into their daily workflows. Here are some specific use cases you can try:
- Project management: Project managers can quickly define terms related to project scope, objectives, and deliverables to ensure alignment among team members and stakeholders, even in the face of quirky project names like “Project Sunrise,” which might confuse newcomers. During project meetings, team members can use AI definitions to clarify terminology, resolve ambiguities, and maintain consistency in communication, particularly for new team members learning about an unfamiliar project.
- Product management: Product managers can define the product’s key features and functionalities to ensure a common understanding among cross-functional teams, such as development, design, and marketing.
- Software development: Software developers can use AI definitions to clarify technical terms, programming languages, or software frameworks mentioned in the documentation, code comments, or discussions. Additionally, during code reviews, developers can use AI definitions to explain complex algorithms, design patterns, or architectural principles referenced in the code.
- Human resources: HR professionals can use Atlassian Intelligence definitions to define terms related to company policies, benefits, and procedures, ensuring employees have a clear understanding of their rights and responsibilities.
- Marketing: Marketers can use AI definitions to explain key performance indicators, metrics, and analytics terminology used in marketing reports and campaigns to ensure alignment across the team.
Explore additional capabilities of Atlassian Intelligence
Wondering how Atlassian Intelligence helps your team work smarter in other ways? Here are a few other capabilities to try:
- Automation: Describe any repetitive task or action in natural language, and Atlassian Intelligence will create automation rules to streamline workflows.
- Natural language to JQL: Atlassian Intelligence lets you convert natural language queries into Jira Query Language (JQL) statements, making it easier for anyone to run complex searches in Jira without needing expertise in JQL.
- AI in the editor: Leverage generative AI when editing in Atlassian products such as Confluence and Jira to create and improve content. You can brainstorm campaign ideas or use it to write emails to clients.
- AI summaries: With AI summaries, you can quickly grasp the content of discussions or catch up on another team’s work without reading through every comment.
AI features are integrated across Atlassian products, including Jira, Jira Service Management, Confluence, Trello, and more. For instance, in Jira Service Management, you can end bad service management with tools to generate incident summaries, summarize issue details, create content, and look for answers across your knowledge base. Meanwhile, use AI in Trello to quickly detect and structure actionable items within your notes.
Use Atlassian Intelligence for quick definitions to streamline workflows
By tapping into Atlassian intelligence for quick definitions, teams can weave this tool into their daily workflows to boost efficiency and collaboration. Whether you’re managing projects, developing products, handling HR tasks, or crafting marketing strategies, AI provides a versatile solution for defining terms and ensuring clarity across teams.
With AI definitions, team members can stay in the zone without the hassle of hunting for information off-page, ensuring smoother collaboration and faster decision-making processes.