AI for Business Analysis
Class Overview
Are you looking to expand your skills in using Artificial Intelligence (AI) to transform your Business Analysis (BA) processes and become a leader in leveraging emerging technologies?
The future of business analysis lies at the intersection of human creativity and the utilization of technology. This AI for Business Analysis training class is an immersive and interactive journey to prepare experienced BA professionals for the AI-powered future.
Through real-world exercises with leading AI agents and tools, gain first-hand experience planning initiatives, analyzing requirements and devising solutions. You will learn methods of “prompt engineering” for using generative AI agents to produce key BA artefacts, research new subject matter, evaluate work, and conduct interviews with subject matter experts (SMEs).
While balancing AI’s power to create content against human judgment, you will discover AI dialogue techniques that will enable iterative and incremental analysis and development.
Class Details
Objectives
After taking this training, the student should be able to:
- Describe how to automate analytical tasks using AI assistants
- Discuss rapidly developing key project artefacts like charters, stories and models
- Use natural language generators to accelerate documentation and prototyping
- Explain how to train generative AI to simulate stakeholder interviews and surveys
- Describe strategies and techniques for managing the vast content created by AI
- Create frameworks for validating and refining AI outputs for accuracy
- Provide effective feedback to progressively improve AI understanding
- Maintain clear human oversight and control while leveraging AI capabilities
- Develop ethical and responsible adoption practices for AI in business analysis
Prerequisite Knowledge Advisory
Although there are no formal prerequisites, before taking this class you should have:
- Foundational knowledge of business analysis through formal training, or
- Have relevant experience working in a business analysis context.
Required Exam for Formal Certification
Exam: none available – knowledge only
Class Format
This class is provided with the following breakdown:
In person class: 2 days
or
Virtual: 3 sessions of 4.5 hours (daily, over 3 successive days)
AI for Business Analysis Training Class Outline
Module 1: Understanding AI’s Role in Business Analysis
Module 2: Using AI to Jumpstart a Project
• Applying prompt engineering techniques to plan and refine a product
Module 3: Organizing AI-Created Content
• Transforming AI outputs and transforming them into coherent, valuable resources
Module 4: Crafting User Stories with AI
Module 5: AI and Stakeholder Interviews
• Training simulated interviews by taking on personas and responding to questions
Module 6: Potential Pitfalls and Social Risks
• Detecting “hallucinations” and critically evaluating and validating AI results
Module 7: Requirements Analysis and Solution Design
• Using AI to create many valuable BA artefacts such as process models and ERDs
Module 8: AI-Assisted UI Design
• Transforming AI outputs into visual representations to produce UI prototypes
Module 9: Writing Tests with AI
• Creating test scenarios and evaluating results to catch errors or gaps in coverage
Module 10: AI for Complete, Consistent, and Coherent Analysis
• Strategies for responsible creation of AI-created artifacts under human supervision
Module 11: Creative Applications of Generative AI
• Using generative AI for writing, education and presentation design
Module 12: Implementing AI-Driven Business Analysis
• Responsibly leveraging AI's potential in business analysis under human supervision
Note: Lecturing is kept to the minimum necessary, where most of the learning is achieved by applying the practices and techniques in group exercises.
