Role-Based Programme
RB1216

AI for Product & Business Analysis

Smarter Requirements, Product Insights & Decision Support

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

Programme Objectives

  • Understand how AI can support Product and Business Analysis across requirements, customer insights, process analysis, and product decision support.
  • Explore practical AI applications for analysing stakeholder inputs, customer feedback, product information, and business requirements.
  • Apply structured prompting techniques to identify gaps, clarify requirements, generate insights, and compare product or business options.
  • Use AI to improve productivity across analysis workshops, documentation, product briefs, stakeholder discussions, and decision summaries.
  • Recognise data quality, confidentiality, assumptions, bias, and human-validation requirements when using AI for product and business analysis.

Tools covered

Generative AI AssistantsRequirement AnalysisCustomer Feedback AnalysisProduct ResearchBusiness Process AnalysisData InterpretationFeature PrioritizationStakeholder AnalysisAI-Powered Documentation & Reporting Tools

Who should attend

  • Product Analysts
  • Business Analysts
  • Product Business Analysts
  • Senior Business Analysts
  • Functional Analysts
  • Product Managers
  • Product Owners
  • Requirements Analysts
  • Process Analysts
  • Product Operations Professionals
  • Digital Product Analysts
  • Transformation Analysts
  • Business Process Professionals
  • Project Analysts
  • Product & Business Analysis Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of products, business processes, or requirements
  • Familiarity with stakeholder discussions, customer feedback, or product documentation is helpful
  • Basic analytical and documentation 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 and Business Analysis
  • Exploring AI applications across requirements, product research, process analysis, and decision support
  • Understanding the difference between AI assistance, analytics, automation, and analyst judgement
  • Recognising AI limitations, hallucinations, incomplete context, and unsupported conclusions
Practical activities
  • Identifying high-value AI applications across a typical analysis workflow
  • Comparing a traditional analysis task with an AI-assisted approach

Scenarios

Customer Feedback to Product Requirement

Customer Feedback → AI-Assisted Theme Analysis → Pain Points → Business Need → Requirements → Information Gaps → Validation

Participants use AI to analyse sample customer feedback, identify recurring needs, translate them into structured requirements, and prepare clarification points for stakeholder validation.

Business Problem to Product Decision

Business Problem → Current-State Analysis → Gaps → Product / Process Options → Value & Risk Comparison → Recommendation → Stakeholder Brief

Participants use AI to structure a sample business problem, identify gaps, compare possible product or process responses, and prepare a concise decision-support brief.

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