Role-Based Programme
RB1219

AI for Product & Business Analysis

Advanced Requirements Intelligence, Product Insights & Decision Support

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

Programme Objectives

  • Develop advanced capability to apply AI across product analysis, business analysis, requirements discovery, process analysis, solution evaluation, and decision support.
  • Use AI-assisted research and analysis to understand customer needs, business problems, product performance, stakeholder expectations, and improvement opportunities.
  • Apply AI to requirements elicitation, process mapping, gap analysis, user stories, acceptance criteria, prioritisation, and impact assessment.
  • Use AI-assisted analytics to convert data, feedback, and operational evidence into actionable product and business recommendations.
  • Build responsible AI-enabled Product & Business Analysis workflows with strong traceability, validation, governance, and human oversight.

Tools covered

Generative AI AssistantsAI Search & Deep ResearchRequirements AnalysisCustomer ResearchProcess AnalysisProduct AnalyticsData InterpretationGap AnalysisStakeholder AnalysisUser Story DevelopmentPrioritisation FrameworksBusiness Case DevelopmentWorkflow AutomationAI AgentsDecision-Support Tools

Who should attend

  • Product Analysts
  • Business Analysts
  • Senior Business Analysts
  • Product Business Analysts
  • Digital Business Analysts
  • Product Managers
  • Product Owners
  • Business Systems Analysts
  • Functional Analysts
  • Process Analysts
  • Product Operations Professionals
  • Requirements Analysts
  • Solution Analysts
  • Transformation Analysts
  • Leaders Responsible for Product & Business Analysis

Prerequisites & Participant Readiness

  • Experience in product analysis, business analysis, product management, process improvement, or digital transformation
  • Familiarity with requirements, processes, stakeholders, user stories, business cases, and product metrics
  • Basic awareness of Generative AI and common business applications
  • Comfort working with customer, business, product, and operational information
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, AI search, automation, and AI agents
  • Exploring AI applications across discovery, requirements, analysis, documentation, and decision support
  • Distinguishing AI-assisted analysis from automated business decision-making
  • Understanding hallucinations, incomplete context, bias, and human accountability
Practical activities
  • Mapping AI opportunities across the Product & Business Analysis lifecycle
  • Identifying activities suitable for augmentation, automation, or continued human ownership
  • Creating an AI opportunity map for Product & Business Analysts

Scenarios

Business Problem to Product Requirement & Solution Recommendation

Business Issue → Problem Definition → Stakeholder Analysis → Customer Evidence → Requirements → Process Analysis → Gaps → Solution Options → Recommendation

Participants use AI to transform an ambiguous business problem into validated requirements, analyse the current process, identify gaps, compare solution options, and develop a structured recommendation.

Underperforming Product to Evidence-Based Improvement Plan

Product Metrics → Customer Feedback → Usage Analysis → Root Causes → Requirement Gaps → Prioritisation → Solution Options → Business Case → Improvement Roadmap

Participants use AI to diagnose an underperforming product, combine qualitative and quantitative evidence, identify root causes and requirement gaps, and create a prioritised product improvement roadmap.

Related programmes

Continue with programmes from the same capability area.

Take the next step

Ready to make this programme work for your team?

Customise modules, duration and business scenarios for your team.

Instructor-ledVirtualHybrid

Designed around your roles, tools and real workflows.