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Bringing AI into exam development

My team wrote certification exam questions by hand while the company's position on AI was still forming. I piloted AI-assisted drafting with a human check on every question, and quiz-writing time fell by roughly 90%.

Role
Led the pilot as Team Lead
When
2025
Scope
My team's exam and content work
Worked with
Peer team leads
~90%

Less time spent writing exam questions

80–90%

Less time investigating class inconsistencies

Source content Copilot drafts exam question Trainer checks it against the source accurate not yet Goes into the exam Edited or discarded
Every AI-drafted question went through a trainer's check against the source content before it reached an exam.

The situation

My team wrote certification exam questions by hand, and the company's position on AI was still forming. Any AI use had to hold up to accuracy standards for a certification exam.

What I did

  • Piloted AI-assisted exam question drafting with Microsoft Copilot. Every drafted item was checked against the source content before use.
  • Built department-level responsible-use practices with peer team leads, covering hallucination risk and prompt writing.
  • Applied Copilot to investigating inconsistencies between classes.

Result

Quiz-writing time dropped by roughly 90%, and the workflow became standard process for the team. Time spent investigating class inconsistencies fell by 80% to 90%.

What I'd do differently

I'd track how AI-drafted questions performed against hand-written ones once they were in live exams, such as how often learners missed them and whether any got flagged. We checked every item for accuracy before use, but I didn't measure whether the drafted questions tested the material as well as the ones we wrote ourselves.

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