Role-Based Programme
RB1210

AI for Product Management

Customer Insights, Product Discovery & Roadmap Excellence

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop practical AI capabilities across product discovery, customer research, requirement analysis, prioritisation, roadmap planning, and product performance.
  • Apply AI to analyse customer feedback, user needs, market trends, competitors, feature requests, and product opportunities.
  • Use AI to strengthen product requirements, user stories, prioritisation decisions, experimentation, stakeholder communication, and roadmap development.
  • Improve product decision-making through structured evidence synthesis, product analytics, risk analysis, and outcome-focused planning.
  • Apply responsible AI practices related to customer data, confidentiality, bias, intellectual property, source accuracy, and human product judgement.

Tools covered

Generative AI AssistantsAI Search & ResearchCustomer Insight AnalysisProduct Discovery SupportRequirement AnalysisFeature PrioritisationCompetitor IntelligenceProduct AnalyticsRoadmap PlanningExperimentation SupportUser Feedback AnalysisExecutive Summarisation

Who should attend

  • Product Managers
  • Senior Product Managers
  • Associate Product Managers
  • Product Owners
  • Digital Product Managers
  • Technical Product Managers
  • Service Product Managers
  • Product Analysts
  • Product Operations Professionals
  • Business Analysts
  • Product Strategy Professionals
  • Innovation Managers
  • Customer Experience Professionals
  • Product Marketing Professionals
  • Product Management Leaders

Prerequisites & Participant Readiness

  • Experience in product management, product ownership, business analysis, innovation, or service management
  • Familiarity with customer needs, requirements, product roadmaps, and stakeholder management
  • Basic familiarity with Generative AI tools is recommended
  • Ability to interpret customer, product, market, and performance information
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, multimodal AI, and AI assistants
  • Exploring AI applications across discovery, requirements, prioritisation, roadmaps, and analytics
  • Understanding how AI differs from product management, analytics, and workflow tools
  • Recognising hallucinations, unsupported assumptions, and AI limitations
Practical activities
  • Mapping the Product Management lifecycle to practical AI applications
  • Identifying high-value versus low-value AI use cases
  • Comparing traditional and AI-assisted product workflows

Scenarios

Customer Problem to Product Opportunity

Customer Feedback → Problem Analysis → Jobs-to-Be-Done → Market & Competitor Review → Opportunity Definition → Requirement Drafting → Feature Prioritisation → MVP Recommendation

Participants use AI to analyse a simulated customer problem, validate the opportunity with market and competitor evidence, and create a structured MVP recommendation.

Product Performance to Roadmap Decision

Product Analytics → Adoption Gaps → Customer Feedback → Feature Performance → Opportunity Prioritisation → Experiment Plan → Roadmap Update → Executive Recommendation

Participants use AI to analyse a simulated product's performance, identify improvement opportunities, prioritise actions, and develop an evidence-based roadmap recommendation.

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