Ask Claude to take on the role of a specific student type and work through your course content as that person would. A confused beginner, a time-pressed professional, a natural sceptic — each will surface different problems. The feedback you get is the closest thing to a free focus group you’ll ever have.
Why You Can’t Review Your Own Course Objectively
As the course creator, you have what’s called the curse of knowledge. You understand every concept so well that you can no longer remember what it felt like not to understand it. When you read your own lesson, your brain automatically fills in the gaps — so you don’t notice the gaps are there. You’ve taught this enough times that you’re reading what you meant to write, not what you actually wrote.
Getting a student perspective used to mean waiting for real students to take the course and sending you feedback forms. With AI, you can simulate that perspective before launch, or before a major revision.
How to Set Up the Student Review
The key is giving Claude a detailed student persona first. Don’t just say “pretend you’re a student.” Say: “Pretend you are a 52-year-old executive coach who has been running in-person workshops for 15 years and wants to move online. You are comfortable with Zoom but intimidated by anything involving technical setup. You are skeptical of AI tools but open to them if they can save you time. Now read this lesson and tell me: what confused you, what felt unnecessary, what questions did you have that went unanswered, and what would make you want to stop and come back later?”
The more specific the persona, the more useful the feedback. Run the same lesson through two or three different personas — a total beginner, an intermediate student who already has some AI experience, and a time-pressed professional who is skimming rather than reading carefully. You’ll get different issues flagged by each one, and together they paint a complete picture.
After Claude gives you the student’s-eye-view, ask a follow-up: “What one change to this lesson would make the biggest difference for this student?” That single-improvement question forces Claude to prioritise rather than give you a list of 20 things to fix.
What This Means for Educators
Running this kind of AI student review before a live cohort starts is particularly valuable. You can identify the exact lesson where your first live session questions will pile up — because Claude will have already told you where the confusion lives. That lets you prepare better explanations, add a quick clarification video, or build that confusion directly into your live session agenda.
It also gives you a quality benchmark for new content. Before publishing anything, run it through the student persona. If Claude’s persona gets confused, your real students will too.
The Bottom Line
You cannot be both teacher and student at the same time. Ask AI to be your student first, fix the problems it finds, and then let your real students experience a course that has already been road-tested from their perspective.