Use AI to critically review your data story drafts by challenging assumptions and spotting weak explanations.
After writing your data story, ask AI to act as a skeptical reviewer who questions your assumptions, points out unclear parts, and spots gaps in your reasoning. This helps you catch weak spots and improve the clarity and credibility of your narrative before sharing it with others. By simulating a tough, unbiased reader, AI can reveal hidden flaws or missing context you might have missed. You can then revise your draft with more confidence, making your message stronger and easier for non-technical stakeholders to understand.
Try this prompt today
“Act as a critical reviewer of my data story draft. Read the following text and provide a detailed list of questions or concerns about assumptions, unclear explanations, or missing information that might confuse a non-technical audience. Suggest specific ways to improve clarity and strengthen the argument. Here is the text: [paste your draft here]”
February 14, 2026
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