ChatGPT as a Review and Quality Assurance Partner By the end of this lesson, students should be able to: The vague feedback problem. "Review this and tell me if it's good" produces: surface-level praise, a few minor suggestions, and no deep critique. ChatGPT does not know what "good" means for your specific work product, audience, and purpose unless you define it. The criteria-first approach. "I am going to ask you to review [work product]. Before you read it, here are the criteria it should meet: [list your criteria]. For each criterion, rate the work 1-5 and provide specific evidence from the document for your rating. Focus on where it falls short – I want improvement guidance, not reassurance." Building criteria from purpose. For a business proposal: For a senior leadership report: Role-specific review perspectives. "Read this as [specific role – e.g., 'a skeptical CFO reviewing a capital request']. What questions would you have that are not answered? What would you push back on? What is missing that you would expect to see?" When ChatGPT review is not sufficient. ChatGPT cannot apply: domain-specific expertise you have not provided, knowledge of organizational politics, legal or regulatory compliance judgment, or professional judgment requiring licensure. For high-stakes outputs in these areas, ChatGPT's review is a first pass – human expert review is required before finalization. ChatGPT file upload for direct review. Users with file-upload access can upload documents directly for review. The same criteria-first principle applies – define your criteria before uploading. Before moving to the quiz, complete this short applied exercise: Instructor check: A strong answer should show practical use, human review, and awareness that ChatGPT output is assistance – not automatic truth or professional advice. question_id: auto-enhancement-criteria-first-review-qjamie001 question_type: short_answer difficulty: applied question: Write one prompt you could use after this lesson, then name one verification or human-review step you would apply before relying on the result. correct_answer: Answers will vary; a strong answer includes a clear task, relevant context, at least one constraint or desired format, and a realistic verification or human-review step based on the stakes of the task. answer_explanation: This applied question checks whether the student can transfer the lesson into real use while maintaining responsible AI habits. Log in and enroll to take this lesson quiz.
Lesson 1: Criteria-First Review
Lesson Objectives
Lesson Content
Jamie Practice Lab
Added Quiz Enhancement
Lesson Quiz