Model Online / On-Site
Duration
Modules 5 modules

Course Objective & Scope

Requirements buried in scattered interview notes, missing acceptance criteria and differing interpretations between business and IT are among the costliest project problems. This course positions LLMs as an analysis assistant at every step of business analysis: extracting needs from interview transcripts, BRD and functional design drafts, user stories with Gherkin acceptance criteria, AS-IS/TO-BE process flows and gap analysis.

Participants work end to end on an anonymised request from their organisation, producing requirement templates, a sample traceability matrix and a quality checklist for reviewing AI outputs.

Who Should Attend?

  • Business analysts and process analysts
  • Product Owners
  • QA and test analysts
  • Digital transformation and process improvement teams

Key Takeaways

  • Extract structured requirement lists from interview and workshop recordings
  • Generate and refine BRD, user story and Gherkin acceptance criteria drafts
  • Convert AS-IS/TO-BE process descriptions into BPMN drafts
  • Derive UAT test scenarios and edge cases from requirements
  • Detect ambiguous, conflicting or missing requirements with AI support

Curriculum

Requirements Elicitation and Interview Analysis
  • Preparing interview question sets
  • Extracting needs and pain points from transcripts
  • Stakeholder map
Requirements Documentation
  • BRD and functional design drafts
  • User stories and Gherkin acceptance criteria
  • Screening for ambiguity and conflicts
Process Modelling and Gap Analysis
  • Deriving AS-IS/TO-BE flows from text
  • BPMN drafts and Mermaid diagrams
  • Gap and impact analysis
Quick Analysis with Data
  • Exploration with Excel and ChatGPT data analysis
  • KPI and business rule definitions
Test Scenarios and Traceability
  • UAT scenarios and edge cases
  • Requirements traceability matrix
  • Review checklist

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