Role-Based Programme
RB1207

AI for Product Strategy

Advanced Market Intelligence, Portfolio Decisions & AI-Driven Product Growth

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across product strategy, market analysis, customer discovery, opportunity evaluation, portfolio planning, and product growth.
  • Use AI-assisted research to identify market shifts, customer needs, competitor moves, technology trends, and emerging product opportunities.
  • Apply AI to product vision, strategic positioning, business model analysis, prioritisation, portfolio decisions, roadmaps, and investment cases.
  • Use AI-assisted analytics to evaluate product performance, adoption, customer value, commercial potential, and strategic fit.
  • Build a responsible AI-enabled Product Strategy operating model with strong validation, governance, evidence quality, and human oversight.

Tools covered

Generative AI AssistantsAI Search & Deep ResearchMarket IntelligenceCustomer ResearchCompetitive IntelligenceProduct AnalyticsOpportunity PrioritisationPortfolio AnalysisScenario PlanningBusiness Case DevelopmentRoadmap IntelligenceProduct Performance AnalysisWorkflow AutomationAI AgentsDecision-Support Tools

Who should attend

  • Product Strategy Managers
  • Senior Product Managers
  • Group Product Managers
  • Product Directors
  • Product Portfolio Managers
  • Product Leaders
  • Service Strategy Professionals
  • Product Management Professionals
  • Product Operations Professionals
  • Business Strategy Professionals
  • Innovation Managers
  • Growth Product Professionals
  • Market & Customer Strategy Professionals
  • Digital Product Leaders
  • Leaders Responsible for Product Portfolio & Growth

Prerequisites & Participant Readiness

  • Experience in product management, service management, product strategy, innovation, or business strategy
  • Familiarity with customer research, market analysis, product roadmaps, prioritisation, and business cases
  • Basic awareness of Generative AI and common business applications
  • Comfort working with market, customer, product, financial, and competitive information
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, multimodal AI, automation, and AI agents
  • Exploring AI applications across product discovery, strategy, planning, analysis, and portfolio management
  • Distinguishing AI-assisted product strategy from automated decision-making
  • Understanding hallucinations, weak evidence, strategic bias, and human accountability
Practical activities
  • Mapping AI opportunities across the Product Strategy lifecycle
  • Identifying activities suitable for augmentation, automation, or continued human ownership
  • Creating an AI opportunity map for product-strategy teams

Scenarios

Emerging Customer Need to New Product Strategy

Market Signal → Customer Research → Unmet Need → Competitive Landscape → Opportunity Assessment → Positioning → Business Model → Roadmap → Investment Case

Participants use AI to identify and validate an emerging product opportunity, evaluate market and customer evidence, develop strategic positioning, and build a commercially grounded product strategy.

Underperforming Product Portfolio to Strategic Reallocation

Portfolio Performance → Market Attractiveness → Customer Value → Competitive Position → Product Economics → Strategic Fit → Investment Choices → Portfolio Roadmap

Participants use AI to analyse an underperforming product portfolio, determine where to invest, improve, maintain, reposition, or exit, and create a strategic portfolio roadmap.

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