Role-Based Programme
RB1208

AI for Product Management

Smarter Product Discovery, Prioritization & Roadmap Decisions

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

Programme Objectives

  • Understand how AI can support Product Management across discovery, customer research, requirements, prioritization, and roadmap planning.
  • Explore practical AI applications for analysing customer feedback, researching competitors, identifying product opportunities, and preparing product documentation.
  • Apply structured prompting techniques to generate product insights, user needs, feature ideas, requirements, and prioritization inputs.
  • Use AI to improve productivity across product meetings, backlog discussions, product briefs, stakeholder communication, and roadmap reviews.
  • Recognise customer privacy, source accuracy, intellectual property, bias, assumptions, and human-review requirements when using AI in Product Management.

Tools covered

Generative AI AssistantsAI Search & ResearchCustomer Feedback AnalysisProduct DiscoveryRequirement AnalysisFeature PrioritizationCompetitor ResearchRoadmap SupportAI-Powered Documentation & Communication Tools

Who should attend

  • Product Managers
  • Senior Product Managers
  • Associate Product Managers
  • Product Owners
  • Product Analysts
  • Product Leads
  • Product Management Managers
  • Product Operations Professionals
  • Digital Product Managers
  • Technical Product Managers
  • Business Product Managers
  • Platform Product Managers
  • Product Strategy Professionals
  • Product Development Professionals
  • Product Management Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of products, services, customers, or business requirements
  • Familiarity with customer feedback, product features, backlogs, or roadmaps is helpful
  • Basic analytical and business-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 Management
  • Exploring AI applications across product discovery, research, requirements, prioritization, and documentation
  • Understanding the difference between AI assistance, analytics, automation, and Product Manager judgement
  • Recognising AI limitations, hallucinations, incomplete evidence, and unsupported product assumptions
Practical activities
  • Identifying high-value AI applications across a typical Product Management workflow
  • Comparing a traditional product-management task with an AI-assisted approach

Scenarios

Customer Feedback to Product Opportunity

Customer Feedback → AI-Assisted Theme Analysis → Pain Points → Product Opportunities → Feature Ideas → Prioritization → Product Recommendation

Participants use AI to analyse sample customer feedback, identify recurring problems, generate potential product responses, and create a prioritised recommendation for product-team review.

Business Requirement to Product Backlog

Business Need → Customer Context → Requirement Analysis → Feature Options → Prioritization → User Stories → Roadmap / Backlog Update

Participants use AI to transform a sample business requirement into structured product inputs, compare possible solutions, and prepare initial backlog or roadmap items for stakeholder and technical validation.

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