A prompt is the input or instruction you give to an AI tool. In the context of research, it's usually a question, a topic, or a specific request. So why does it matter how you write your prompt?
Better Prompts = Better Results
A well-written prompt helps the AI understand exactly what you're asking for. This leads to more accurate, relevant, and useful responses. Poorly worded prompts can result in vague or unrelated answers that waste your time and steer your research in the wrong direction.
Good Prompts Save Time and Money
Many AI tools use a pay-per-task model, where each search or query uses up credits or costs money. A strong prompt helps you get what you need in fewer tries—saving both time and money.
The CLEAR framework, developed by Dr. Leo Lo (University of New Mexico), helps IOU students write better prompts when using generative AI tools. A well-crafted prompt produces clearer, more relevant, and more accurate results—especially in academic contexts.
Each letter in CLEAR represents a quality that strengthens your prompt. Applying these five principles improves your interactions with tools like ChatGPT, Claude, or Gemini.
Focus on the main idea. Use keywords and avoid extra wording that might confuse the AI.
Why it matters: The second example is too vague. The AI doesn’t know your goals—or even which IOU you’re referring to.
Arrange your ideas in a clear and logical order. AI tools respond more accurately to well-structured questions.
Why it matters: "Too hard" is unclear—too hard for whom? And in what context?
Be specific about what you want. Indicate the format or type of answer (e.g., a list, summary, explanation).
Why it matters: The second example is too broad. Are you asking about student life, academics, or something else?
Refine your prompt based on what the AI gives you. Use the AI’s response to sharpen your next question.
Why it matters: The second prompt is more focused and leads to a deeper, more informative answer.
After receiving the AI’s response, take time to evaluate it. Ask yourself: Does this make sense? Is it accurate? Does it address different perspectives?
Why it matters: Reflecting helps ensure your academic work is thoughtful, relevant, and complete.