Role-Based Programme
RB1204

AI for Product Strategy

Smarter Market Insights, Product Decisions & Strategic Roadmapping

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Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how AI can support Product Strategy across market analysis, customer discovery, opportunity identification, prioritisation, and roadmap thinking.
  • Explore practical AI applications for analysing customer needs, competitor moves, market trends, and product opportunities.
  • Apply structured prompting techniques to generate product insights, strategic options, prioritisation criteria, and decision-support summaries.
  • Use AI to improve productivity across product research, strategy reviews, roadmap discussions, and stakeholder communication.
  • Recognise source quality, customer privacy, bias, assumptions, confidentiality, and human-review requirements when using AI in Product Strategy.

Tools covered

Generative AI AssistantsAI Search & ResearchMarket AnalysisCustomer Insight AnalysisCompetitor ResearchProduct Opportunity AnalysisPrioritisation FrameworksScenario AnalysisAI-Powered Presentation & Communication Tools

Who should attend

  • Product Strategy Professionals
  • Product Managers
  • Senior Product Managers
  • Product Directors
  • Product Owners
  • Product Analysts
  • Product Strategy Managers
  • Portfolio Managers
  • Product Planning Professionals
  • Innovation Managers
  • Product Marketing Professionals
  • Business Strategy Professionals
  • Customer Insights Professionals
  • Product Development Leaders
  • Product Management Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of products, services, markets, or customer needs
  • Familiarity with product planning, roadmaps, customer feedback, or competitor research is helpful
  • Basic analytical and business-research skills
  • No programming or technical AI knowledge required
  • No previous AI-tool experience required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to Product Strategy
  • Exploring AI applications across market research, customer insights, competitor analysis, prioritisation, and roadmap planning
  • Understanding the difference between AI assistance, analytics, research, and product judgement
  • Recognising AI limitations, hallucinations, incomplete evidence, and unsupported product assumptions
Practical activities
  • Identifying high-value AI applications across a typical Product Strategy workflow
  • Comparing a traditional product-strategy activity with an AI-assisted approach

Scenarios

Customer Need to Product Opportunity

Customer Feedback → AI-Assisted Analysis → Needs & Pain Points → Market Context → Product Opportunities → Prioritisation → Strategy Recommendation

Participants use AI to analyse sample customer feedback, identify unmet needs, generate potential product opportunities, and prepare a prioritised recommendation for product-team review.

Market Change to Product Roadmap Direction

Market Signal → Competitor & Customer Analysis → Business Impact → Product Options → Strategic Fit → Roadmap Themes → Stakeholder Brief

Participants use AI to evaluate a sample market development, assess its implications for the product portfolio, and create a high-level roadmap direction for stakeholder discussion.

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