Prompt: turn monitoring data into a narrative

Rows of numbers rarely tell the story on their own. This prompt turns your monitoring data into a clear, honest narrative of what the figures show — without exaggerating or misreading them. Because AI misreads and miscalculates numbers, you check every figure and interpretation against your data.

What to paste in

Give the AI your figures with what each measures and the period, what you are trying to understand, and who will read it. It writes a plain narrative, keeps figures exact, and is honest about what the data cannot show.

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What to check afterwards

Check every number and any calculated change against your data — never trust AI with arithmetic. Watch for a narrative implying a trend or cause the data does not support, especially with small samples, and make sure the write-up is honest about gaps and missing responses.

Language models produce fluent text but unreliable arithmetic, so every figure and percentage in an AI-written data narrative must be checked against the source before you use it.

Worked example

The illustrative example reports the change plainly, uses “31 of 40 who responded” rather than “most”, and states clearly what the data cannot prove.

CharityIQ can write up monitoring data grounded in your actual figures, keeping every number traceable and flagging the limits.