ChatGPT Prompt Review Checklist
Review a ChatGPT prompt for role, context, task, constraints, output format, examples, audience, and grounding before testing it again.
Direct answer
A useful ChatGPT prompt review checks whether the prompt names the role, gives enough context before the task, states the actual task, defines constraints, specifies output format, gives examples when the pattern matters, names the audience, and grounds the model in source material or facts when accuracy matters. If any of those are missing, add the missing section before blaming the model.
Open Improve My PromptWhen to use this
- ChatGPT gives vague, inconsistent, or wrongly formatted answers.
- Your prompt works once but breaks on similar inputs.
- You want specific fixes instead of a full rewrite.
Steps
- Paste the prompt exactly as you use it.
- Check role, context, task, constraints, output format, examples, audience, and grounding.
- Apply the highest-impact missing sections first.
- Retest with the same input and one new input.
- Keep the smallest version that produces stable output.
Example review
Write a good LinkedIn post about our new analytics dashboard. Make it engaging and not too long.
Missing: audience, goal, source facts, tone constraints, output format, and examples. Add who the post is for, the dashboard's concrete benefits, a length target, and a sectioned output shape such as hook, body, CTA, and hashtag options.
Common mistakes
- Do not add a long role section if the actual task is still vague.
- Do not ask for good, engaging, or high quality without defining what those mean.
- Do not test only one happy-path input.
FAQ
- Why is my ChatGPT prompt inconsistent?
- Most inconsistent prompts are missing constraints, output format, examples, or source context, so the model has to infer too much.
- Should every ChatGPT prompt include examples?
- No. Use examples when the output pattern matters, such as classification, style matching, extraction, or a recurring business format.
- Is a longer prompt always better?
- No. A short prompt with clear context, task, constraints, and output format is better than a long prompt full of vague instructions.
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