Use AI as a detailed reviewer to improve your data stories by catching logic gaps and unclear points.
After drafting your report, slide deck, or summary, ask AI to act as a critical reviewer who identifies weaknesses, missing links, or confusing explanations. This second look helps you spot where your story might lose a non-technical audience or leave important questions unanswered. You can request the AI to suggest clearer phrasing, point out assumptions you didn’t explain, or highlight parts that need more context. Try a multi-round review: first, get AI to list any unclear or vague parts, then ask it to propose better explanations or examples. Finally, have AI summarize the main takeaways from your draft to ensure your key messages come through strong and simple. This practice can catch issues early, boost your confidence, and save time revising later with colleagues or stakeholders.
Try this prompt today
“Act as a careful reviewer of my data report draft written for non-technical readers. Identify any parts that are unclear, confusing, or where I assume knowledge I shouldn’t. Suggest clearer wording or extra explanation where needed. Then, summarize the main points to check if my key messages come through simply and strongly.”
June 9, 2026
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