Use AI to systematically review your written data story to spot flaws and boost clarity before sharing.
Follow these steps to use AI as your first reviewer and improve your data story's quality. First, paste your full draft into the AI and ask it to read carefully for any unclear parts or missing explanations. Second, request the AI to list any areas where your message might confuse non-technical readers or where details are lacking. Third, ask the AI to suggest simpler wording or clearer examples to strengthen your explanations. Fourth, have the AI highlight any logical jumps or gaps in your argument that could weaken your story. Fifth, request a summary of all the improvements and a revised version of your draft with the suggested changes included. Finally, review the AI’s feedback and update your story accordingly before sharing with your team or stakeholders.
Try this prompt today
“Act as a data science communications expert. Review this data story draft and point out any unclear parts, confusing language, or missing explanations for non-technical readers. Suggest simpler wording or clearer examples where needed, identify any logical gaps, and then provide a revised version that improves clarity and flow.”
February 14, 2026
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