Use AI to check your data story or report for missing details, unclear parts, and weak points before sharing.
When you finish writing a data story, report, or summary, it’s helpful to have a first reviewer to catch problems early. Use AI to carefully review your work step-by-step, focusing on clarity, completeness, and logical flow. Start by asking AI to find any missing explanations or confusing passages that someone unfamiliar with your analysis might struggle with. Then, request suggestions to strengthen weak points or add helpful context. Finally, ask the AI to highlight any assumptions or unclear parts that could raise questions later. This process helps you catch issues before stakeholders see your work, improving your confidence and the quality of your communication.
Try this prompt today
“Act as my first reviewer for a data report I wrote. Please read the following text and tell me if any explanations are missing, unclear, or confusing for someone without a technical background. Suggest improvements to make the story clearer and stronger. Also, point out any assumptions or parts that might raise questions. Here is the text: [paste your data story or report here]”
March 16, 2026
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