Role-Based Programme
RB0325

GitHub Copilot for Product & Service Management

AI-Assisted Requirements, Product Delivery & Engineering Collaboration

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Build foundational capability to use GitHub Copilot for product requirements, backlog preparation, repository understanding, and Product–Engineering collaboration.
  • Convert product requirements, customer feedback, defects, and enhancement requests into structured GitHub Issues with clear acceptance criteria.
  • Use repository and curated product context to understand existing product behaviour, technical dependencies, and implementation considerations.
  • Delegate suitable implementation tasks to Copilot Cloud Agent and evaluate resulting pull requests, tests, and changes.
  • Apply human product judgement, engineering review, security controls, source validation, and release governance throughout AI-assisted delivery.

Tools covered

GitHub CopilotGitHub Copilot ChatCopilot SpacesGitHub IssuesGitHub ProjectsGitHub Pull RequestsCopilot Cloud AgentCopilot Code ReviewCustom InstructionsAGENTS.mdMCP Servers

Who should attend

  • Product Managers
  • Product Owners
  • Technical Product Managers
  • Digital Product Managers
  • Service Managers
  • Product Operations Professionals
  • Product Analysts
  • Business Analysts
  • Platform Product Managers
  • Product Strategy Professionals
  • Innovation Managers
  • Product / Service Management Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of product or service-management processes
  • Familiarity with product requirements, user stories, acceptance criteria, backlogs, or agile delivery
  • Basic understanding of GitHub repositories, Issues, and Pull Requests is helpful
  • No advanced programming expertise required
  • No previous GitHub Copilot experience required
  • Availability of Cloud Agent, Code Review, MCP, and other advanced capabilities may depend on organisational plan, policy, repository configuration, and feature availability

TOC Modules

Concepts
  • Understanding GitHub Copilot across product, engineering, repository, and delivery workflows
  • Exploring GitHub Issues, Pull Requests, Copilot Chat, Spaces, and agent-based workflows
  • Mapping Customer Need → Requirement → Issue → Implementation → Review → Release
  • Identifying activities suitable for AI assistance versus accountable Product and Engineering decisions
Practical activities
  • Exploring a sample product repository and associated Issues
  • Asking Copilot questions about an existing product or feature
  • Identifying product-management use cases across the delivery lifecycle
  • Creating a Product–Engineering collaboration map

Scenarios

Customer Feedback to Implemented Product Enhancement

Customer Feedback → Product Problem → GitHub Issue → Acceptance Criteria → Copilot Cloud Agent → Pull Request → Copilot Code Review → Product Validation → Engineering Approval

Participants transform validated customer feedback into an implementation-ready requirement and follow the AI-assisted delivery workflow through coding, review, and product acceptance.

Product Initiative to Structured Engineering Backlog

Product Objective → Copilot Space / Context → Requirements Analysis → Parent Issue → Sub-Issues → Prioritised Engineering Work → Agent-Ready Tasks → Product-Team Review

Participants use GitHub Copilot to convert a broader product initiative into structured, contextualised engineering work while preserving prioritisation and scope decisions with accountable Product and Engineering stakeholders.

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