Course Objective & Scope
Project teams lose a significant share of their time to repetitive writing: task descriptions, meeting notes, documentation and weekly updates. This course helps team members do this work faster and more consistently with Microsoft 365 Copilot, ChatGPT or Gemini, covering use cases inside everyday tools such as Jira, Confluence, Teams and Loop.
Exercises use examples taken from the team's own workflow. The team leaves with a shared prompt library, an output checklist and a short usage rule sheet showing which data may be shared with which tool.
Who Should Attend?
- Specialists and analysts working in project teams
- Scrum and Kanban team members
- Project coordinators and project assistants
- Prerequisite: none; regular use of office and collaboration tools is enough
Key Takeaways
- Write clear task descriptions and acceptance criteria drafts
- Turn meeting recordings into summaries and action lists with owners
- Summarise long documents into Q&A notes for the team
- Prepare weekly status updates in a standard format
- Spot and correct inaccurate or fabricated information in AI outputs
Curriculum
Fundamentals of Working with AI Assistants
- Prompt structure: role, context, task, format
- Good and weak prompt examples
- Hallucination and output verification
Task and Backlog Content
- User story and acceptance criteria drafts
- Clarifying Jira and Azure DevOps tickets
- Breaking large tasks into sub-steps
Meetings and Team Communication
- Meeting summaries with Teams Copilot
- Action and owner lists
- Drafting team messages and emails
Documentation and Knowledge Sharing
- Preparing Confluence and SharePoint pages
- Summarising and querying long documents
- Building a team FAQ
Team Standards and Safe Use
- Shareable data boundaries and approved tools
- Shared prompt library
- Output checklist
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