Role-Based Programme
RB1212

AI for Product Ownership

Smarter Backlog Prioritization, User Stories & Stakeholder Decisions

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Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how AI can support Product Owners across requirement clarification, backlog management, prioritization, and stakeholder communication.
  • Explore practical AI applications for analysing business needs, customer feedback, user stories, and acceptance criteria.
  • Apply structured prompting techniques to improve backlog items, identify gaps, compare priorities, and prepare product discussions.
  • Use AI to improve productivity across refinement sessions, sprint preparation, documentation, stakeholder updates, and backlog reviews.
  • Recognise confidentiality, assumptions, bias, requirement accuracy, and human-validation requirements when using AI in Product Ownership.

Tools covered

Generative AI AssistantsRequirement AnalysisCustomer Feedback AnalysisUser Story DevelopmentAcceptance Criteria SupportBacklog PrioritizationSprint Planning SupportStakeholder CommunicationAI-Powered Documentation Tools

Who should attend

  • Product Owners
  • Senior Product Owners
  • Associate Product Owners
  • Digital Product Owners
  • Technical Product Owners
  • Platform Product Owners
  • Business Product Owners
  • Product Managers
  • Business Analysts
  • Agile Business Analysts
  • Scrum Team Product Representatives
  • Product Analysts
  • Product Operations Professionals
  • Agile Delivery Professionals
  • Product Ownership Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of products, business requirements, or Agile ways of working
  • Familiarity with backlogs, user stories, stakeholders, or sprint activities is helpful
  • Basic analytical and documentation skills
  • No programming or technical AI knowledge required
  • No previous AI-tool experience required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to Product Ownership
  • Exploring AI applications across requirements, backlog management, refinement, prioritization, and communication
  • Understanding the difference between AI assistance, Agile tools, automation, and Product Owner judgement
  • Recognising AI limitations, hallucinations, incomplete context, and unsupported assumptions
Practical activities
  • Identifying high-value AI applications across a typical Product Ownership workflow
  • Comparing a traditional backlog-management activity with an AI-assisted approach

Scenarios

Stakeholder Request to Ready Backlog Item

Stakeholder Request → AI-Assisted Analysis → User Need → User Story → Acceptance Criteria → Clarification → Backlog Ready

Participants use AI to transform a sample stakeholder request into a structured backlog item containing a clear user story, acceptance criteria, and questions for stakeholder validation.

Backlog to Sprint Priority Discussion

Backlog Items → AI-Assisted Review → Value & Urgency → Dependencies & Risks → Prioritization → Stakeholder Discussion → Sprint Candidates

Participants use AI to review a sample product backlog, identify gaps and dependencies, compare items against defined priorities, and prepare a structured set of sprint candidates for team discussion.

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