The MCQ Production Pipeline: An Agent-Ready Assessment Workflow is a BYOD session focused on creating a repeatable authoring workflow for high-quality knowledge checks. The emphasis is on the workflow itself. AI is the accelerator, not the focus.

Many teams spend hours writing and revising knowledge check or assessment questions, only to end up with items that are ambiguous, too easy, or packed with distractors that no one would ever choose. In this hands-on session, you will build a production pipeline you can run every week to draft, stress-test, and improve stems, distractors, and answer-specific feedback. You will work from provided examples and templates, so no prior MCQ-writing experience is required.

This workflow is grounded in actual client-facing delivery on an active federal program where we are using these methods now. This is a tested, successful approach with activities and examples drawn from real project work. You can apply the approach in any environment or industry that requires assessments or knowledge checks.

You will leave with the complete set of workflow elements needed to operationalize this process with your team, including reusable prompt patterns, guardrails, and a lightweight QC checklist that makes the workflow “agent-ready” for future automation.

In this session, you will learn…

• A repeatable authoring workflow for producing knowledge-check items (stem > distractors > feedback > QC) that your team can run consistently.
• How to use an AI assistant to generate drafts under constraints (reading level, format, accessibility) while keeping instructional judgment in control.
• How to design plausible distractors based on common novice errors and refine them for mutual exclusivity and clarity.
• How to write answer-specific feedback that teaches (not just tells) and supports learning transfer.
• How to turn your workflow outputs into an “agent-ready” spec: prompt patterns, guardrails, and a QC checklist you can reuse.