Set a critical role, ask five specific questions, and tell Claude not to soften the response. Here is the exact prompt structure that works for course feedback.
AI reliably catches structural problems — sequencing, missing steps, outcome mismatches, pacing — but not subject matter accuracy. Use it for structure; use your expertise for content.
Run adversarial prompts before launch — ask AI to find the holes, challenge the logic, and predict where students will fail. Three prompts, fifteen minutes, expensive problems avoided.
AI can act as a fresh set of eyes on your course pacing before you run a live cohort — catching places where learners will rush, stall, or disengage.
AI can role-play both a beginner and an advanced student reading your course, flagging where beginners get lost and where advanced learners feel bored or under-challenged.
Give AI a detailed student profile, then ask it to review your course as that student. You get student-perspective feedback before a single real student enrols.
Paste your course outline into Claude and ask for a curriculum review — gaps, sequencing issues, and missing outcomes identified in minutes before launch.
AI can evaluate your quizzes, assignments, and reflection prompts for ambiguous wording, unfair difficulty spikes, and questions that test memorization rather than real understanding.
AI can audit your course content against your learning objectives and flag the modules that are thin, vague, or misaligned with what you promised students.
AI gives you honest, instant feedback on any course module — evaluating clarity, depth, and alignment with your learning objectives without the awkwardness of asking a colleague.
Ask AI to describe what a best-in-class course on your topic includes, then compare your curriculum to that benchmark to find gaps and confirm your strengths.
Paste course content into Claude and ask it to flag language that is too complex, too technical, or too simplistic for your specific audience — reading level calibrated in two minutes.
AI can help you prioritize live-course edits by analyzing student questions, feedback patterns, and completion data to identify what to fix first without disrupting students mid-cohort.
Set up a simple end-of-cohort AI review process that turns student feedback, session notes, and completion data into a prioritized improvement plan before your next enrollment opens.
AI evaluates whether your curriculum logically delivers on your outcome promise by checking each module against the stated goal and flagging what is missing or misaligned.
AI can read your course content from a student's perspective and report on confusion points, missing context, and moments where a real learner would get stuck.
Yes — AI can read your course instructions and flag sentences that are ambiguous, steps that assume knowledge students may not have, and places where a new learner would not know what to do next.
Yes — AI can read your course outline and flag logic gaps, sequencing problems, and lessons that appear before students have the foundation to understand them.
Yes — AI can sort your course improvement list by impact on student outcomes, helping you spend your limited revision time on fixes that actually move the needle.
AI can predict your highest dropout risk points before a cohort launches by identifying difficulty spikes, low-progress stretches, and unclear transitions where students typically disengage.
Share your lesson outlines with AI and ask it to flag lessons that are too long, too short, or too shallow — it catches pacing problems you can no longer see yourself.
Yes — AI can evaluate every piece of optional content against your core learning objectives and help you decide what to cut, what to move to a bonus section, and what to keep.
Ask AI to score your curriculum across defined quality dimensions — sequencing, outcome alignment, depth, completeness — and get a structured rating with reasoning for each.
Yes — AI can cross-reference your course modules against your sales page promises and learning objectives to find gaps between what you sold and what you built.
Tell AI to play the role of a critical reviewer before sharing your outline — you get direct, structural feedback instead of polite encouragement.