Role-Based Programme
RB1206

AI for Product Strategy

Market Intelligence, Product Vision & Strategic Growth

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

Programme Objectives

  • Develop practical AI capabilities for product strategy, market intelligence, customer understanding, portfolio decisions, and strategic planning.
  • Apply AI to analyse markets, competitors, customer needs, trends, technology shifts, and emerging product opportunities.
  • Use AI to strengthen product vision, strategic positioning, opportunity prioritisation, roadmap thinking, and business-case development.
  • Improve product decision-making through structured scenario analysis, portfolio evaluation, risk assessment, and evidence-based recommendations.
  • Apply responsible AI practices related to customer data, source quality, bias, intellectual property, confidentiality, and human strategic judgement.

Tools covered

Generative AI AssistantsAI Search & ResearchMarket IntelligenceCustomer Insight AnalysisCompetitive IntelligenceOpportunity AnalysisProduct Portfolio AnalysisScenario PlanningPrioritisation SupportRoadmap PlanningBusiness Case DevelopmentExecutive Summarisation

Who should attend

  • Product Strategy Managers
  • Product Managers
  • Senior Product Managers
  • Product Directors
  • Product Portfolio Managers
  • Product Owners
  • Service Strategy Managers
  • Product Planning Professionals
  • Innovation Managers
  • Business Strategy Professionals
  • Product Marketing Professionals
  • Customer Experience Professionals
  • Digital Product Professionals
  • Business Unit Leaders
  • Product & Service Management Leaders

Prerequisites & Participant Readiness

  • Experience in product management, product strategy, service management, innovation, or business strategy
  • Familiarity with customers, markets, product portfolios, roadmaps, and business priorities
  • Basic familiarity with Generative AI tools is recommended
  • Ability to interpret market, customer, product, and business information
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, multimodal AI, and AI assistants
  • Exploring AI applications across research, strategy, planning, prioritisation, and decision support
  • Understanding how AI differs from analytics, product-management systems, and traditional research
  • Recognising hallucinations, outdated information, unsupported assumptions, and AI limitations
Practical activities
  • Mapping the product-strategy lifecycle to practical AI applications
  • Identifying high-value versus low-value AI use cases
  • Comparing traditional and AI-assisted product-strategy workflows

Scenarios

Market Shift to New Product Opportunity Strategy

Market Intelligence → Customer Needs → Competitive Analysis → Opportunity Identification → Opportunity Sizing → Strategic Fit → Prioritisation → Product Strategy

Participants use AI to analyse a simulated market shift, identify unmet customer needs and strategic opportunities, and develop an evidence-based product opportunity recommendation.

Product Portfolio to Strategic Roadmap

Portfolio Performance → Customer Value → Market Attractiveness → Strategic Priorities → Investment Choices → Scenario Analysis → Product Roadmap → Executive Business Case

Participants use AI to evaluate a simulated product portfolio, determine strategic investment priorities, develop an outcome-focused roadmap, and prepare an executive-level business case.

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