Role-Based Programme
RB1209

AI for Product Management

Smarter Discovery, Prioritisation, Roadmapping & Product Decisions

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support Product Management across discovery, requirements, prioritisation, roadmap planning, stakeholder communication, and performance analysis.
  • Apply AI to analyse customer feedback, user needs, market signals, product opportunities, and competitor information.
  • Use AI to improve product briefs, user stories, prioritisation discussions, roadmap themes, release communication, and decision preparation.
  • Develop practical skills for product discovery, problem framing, feature evaluation, stakeholder alignment, and product-performance review.
  • Understand responsible AI use, confidentiality, privacy, intellectual property, data accuracy, bias, and human oversight in product decisions.

Tools covered

Generative AI AssistantsAI Search & ResearchCustomer Feedback AnalysisProduct Discovery SupportRequirements AnalysisPrioritisation SupportRoadmap PlanningCompetitive AnalysisProduct Analytics InterpretationExecutive Presentation Tools

Who should attend

  • Product Managers
  • Associate Product Managers
  • Senior Product Managers
  • Product Owners
  • Product Leads
  • Product Directors
  • Product Planning Professionals
  • Product Development Managers
  • Digital Product Managers
  • Service Product Managers
  • Innovation Professionals
  • Business Analysts
  • Product Operations Professionals
  • Product / Service Management Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of product, service, customer, or business processes
  • Familiarity with product requirements, customer feedback, roadmaps, or feature planning is helpful
  • Basic analytical, communication, and digital-tool skills
  • No programming or technical AI knowledge required
  • Prior AI-tool experience is helpful but not mandatory

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to Product Management
  • Exploring AI support across discovery, requirements, prioritisation, planning, and communication
  • Distinguishing AI assistance from product analytics, project management, and automation tools
  • Understanding AI limitations, hallucinations, bias, and product-decision risks
Practical activities
  • Identifying recurring Product Management activities suitable for AI assistance
  • Comparing traditional and AI-assisted approaches to a product task
  • Mapping AI opportunities across the product lifecycle

Scenarios

Customer Feedback to Prioritised Product Opportunity

Customer Feedback → Theme Analysis → Problem Statement → User Impact → Product Opportunities → Prioritisation → Requirement Brief → Stakeholder Review

Participants use AI to analyse sample customer feedback, identify a recurring product problem, develop potential solutions, and prepare a structured prioritisation and requirement brief.

Product Performance to Roadmap Decision

Product Metrics → Customer Feedback → Performance Gap → Root-Cause Hypotheses → Improvement Options → Priority Evaluation → Roadmap Update → Leadership Summary

Participants use AI to combine sample product metrics and customer feedback, evaluate improvement opportunities, and prepare an evidence-based roadmap recommendation for stakeholder review.

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