Use AI to stress-test your data story by challenging assumptions and spotting weak points before sharing.
Reviewing your data story with AI as a critical reviewer helps catch blind spots and improve your message. Start by feeding AI your draft narrative or summary and ask it to find unclear or unsupported points. Next, request AI to suggest questions a skeptical stakeholder might ask, which helps you anticipate and prepare strong answers. Then, ask AI to identify any logical gaps or missing context that could confuse readers unfamiliar with your work. Finally, get AI to recommend ways to make your key messages more persuasive and easy to follow. This step-by-step review ensures your story is clear, solid, and ready for your audience.
Try this prompt today
“Act as a critical reviewer of my data story draft. Read the text and tell me where the explanation is unclear, what assumptions might be weak, and what questions a skeptical executive might ask. Then suggest improvements to make it clearer and more convincing.”
February 9, 2026
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