Role-Based Programme
RB1218

AI for Product & Business Analysis

Requirements Intelligence, Process Insights & Product Decision Support

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

Programme Objectives

  • Develop practical AI capabilities for product analysis, business analysis, requirements discovery, process analysis, and decision support.
  • Apply AI to analyse customer needs, stakeholder inputs, business processes, product requirements, market information, and operational data.
  • Use AI to strengthen requirement documentation, user stories, process mapping, gap analysis, prioritisation, and solution evaluation.
  • Improve product and business decisions through structured research, data interpretation, impact analysis, and evidence-based recommendations.
  • Apply responsible AI practices related to confidentiality, customer data, source validation, bias, requirement accuracy, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchRequirement AnalysisCustomer Insight AnalysisBusiness Process AnalysisProduct Discovery SupportData AnalysisCompetitor IntelligenceUser Story DevelopmentPrioritisation SupportStakeholder AnalysisExecutive Summarisation

Who should attend

  • Business Analysts
  • Product Analysts
  • Product Business Analysts
  • Senior Business Analysts
  • Product Managers
  • Product Owners
  • Business Systems Analysts
  • Functional Analysts
  • Process Analysts
  • Requirements Analysts
  • Digital Business Analysts
  • Product Operations Professionals
  • Transformation Analysts
  • Solution Analysts
  • Product & Service Management Professionals

Prerequisites & Participant Readiness

  • Experience in business analysis, product analysis, product management, process improvement, or requirements management
  • Familiarity with stakeholder requirements, business processes, user stories, or product documentation
  • Basic familiarity with Generative AI tools is recommended
  • Ability to interpret qualitative and quantitative business information
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, multimodal AI, and AI assistants
  • Exploring AI applications across discovery, requirements, process analysis, documentation, and decision support
  • Understanding how AI differs from traditional business analysis, analytics, and workflow tools
  • Recognising hallucinations, incomplete reasoning, unsupported assumptions, and AI limitations
Practical activities
  • Mapping Product & Business Analysis activities to practical AI applications
  • Identifying high-value versus low-value AI use cases
  • Comparing traditional and AI-assisted analysis workflows

Scenarios

Business Problem to Product Requirement

Business Problem → Stakeholder Analysis → Requirement Elicitation → Process Mapping → Gap Analysis → User Stories → Acceptance Criteria → Prioritised Requirement Set

Participants use AI to analyse a simulated business problem, structure stakeholder requirements, map the current process, identify gaps, and create a prioritised product requirement set.

Product Performance Issue to Business Recommendation

Performance Data → Customer Feedback → Root-Cause Analysis → Market & Competitor Review → Solution Options → Impact Analysis → Prioritisation → Executive Recommendation

Participants use AI to investigate a simulated product-performance issue, combine business and customer evidence, evaluate alternative solutions, and develop a structured management recommendation.

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