This practical session introduces an AI-powered workflow for transforming unstructured SME input into a clear, usable learning blueprint while keeping instructional judgment firmly in human hands. Using real-world case examples, the session demonstrates how AI can be applied at three key points:
- Preparing stronger SME interview questions
- Analyzing raw intake materials after meetings
- Drafting a structured design brief that aligns business goals, learner needs, and instructional strategy
We will examine examples of AI outputs that worked well and those that missed the mark to highlight common pitfalls, lessons learned, and best practices. You will practice identifying gaps, challenging assumptions, and using instructional design principles to refine AI?generated analysis. We will emphasize transferable prompts, review strategies, and safeguards that you can apply across tools and organizations. You will leave with a repeatable, scalable approach that reduces analysis time, improves clarity early in projects, and supports better learning design decisions.
You will learn to:
- Generate stronger SME interview questions using AI Convert unstructured inputs into a draft learning design brief
- Distinguish essential vs. non-essential content using AI analysis
- Apply a human review checklist to validate AI output
