Role-Based Programme
RB1205

AI for Product Strategy

Market Intelligence, Product Decisions & Growth Planning

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support Product Strategy across market research, customer insights, competitive analysis, opportunity assessment, and strategic planning.
  • Apply AI to analyse market trends, customer needs, competitor moves, product gaps, and growth opportunities.
  • Use AI to support product positioning, strategic prioritisation, scenario analysis, roadmap discussions, and decision preparation.
  • Develop practical skills for opportunity framing, product portfolio analysis, strategic communication, and evidence-based recommendations.
  • Understand responsible AI use, data quality, confidentiality, bias, source validation, and human oversight in strategic product decisions.

Tools covered

Generative AI AssistantsAI Search & ResearchMarket & Competitor AnalysisCustomer Insight AnalysisOpportunity AssessmentProduct PositioningPrioritisation SupportScenario PlanningProduct Roadmap SupportExecutive Presentation Tools

Who should attend

  • Product Strategy Managers
  • Product Managers
  • Senior Product Managers
  • Product Directors
  • Product Portfolio Managers
  • Product Planning Professionals
  • Product Development Managers
  • Product Owners
  • Service Strategy Professionals
  • Innovation Managers
  • Business Strategy Professionals
  • Market Intelligence Professionals
  • Product Marketing Managers
  • Product / Service Management Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of product, service, market, or business strategy
  • Familiarity with customer needs, competitor analysis, product planning, or business cases is helpful
  • Basic communication, analytical, 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 Strategy
  • Exploring AI support across research, analysis, planning, prioritisation, and decision preparation
  • Distinguishing AI assistance from product analytics, forecasting, and traditional research tools
  • Understanding AI limitations, hallucinations, bias, and strategic-decision risks
Practical activities
  • Identifying recurring Product Strategy activities suitable for AI assistance
  • Comparing traditional and AI-assisted approaches to a product-strategy task
  • Mapping AI opportunities across the product-strategy lifecycle

Scenarios

Market Change to Product Growth Opportunity

Market Signals → Customer Needs → Competitor Analysis → Opportunity Areas → Strategic Fit → Prioritisation → Product Direction → Executive Recommendation

Participants use AI to analyse sample market, customer, and competitor information, identify potential growth opportunities, and prepare an evidence-based product-strategy recommendation.

Multiple Product Opportunities to Strategic Roadmap

Opportunity Portfolio → Evaluation Criteria → Customer Value → Market Potential → Feasibility & Risk → Priority Choices → Roadmap Themes → Leadership Summary

Participants use AI to compare multiple sample product opportunities, identify trade-offs and evidence gaps, and build a structured strategic roadmap for leadership review.

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