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ChatGPT Prompts for Report Writing: 12 From Data to Summary

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12 ChatGPT prompts for report writing: answer-first summaries, findings with the math shown, recommendations, incident and research reports, and a final check.

ChatGPT Prompts for Report Writing: 12 From Data to Summary

ChatGPT prompts for report writing work best when you paste your real numbers and tell ChatGPT who will read the report and what they must decide. The 12 prompts below cover each step: planning the report, answer-first summaries, findings with the math shown, recommendations, special report types, and a final check. Each one keeps ChatGPT to the figures you supply, so the report stays accurate.

Plan the report

1. Report question first

I need to write a [report type] for [reader], who will use it to decide [decision]. Based on these notes, [notes], suggest the single question the report should answer, and three questions it should not try to answer.

2. Outline from data

Here is my data: [paste]. The report answers: [question]. Propose an outline with section headings in the order a busy reader needs them, answer first, with one line on what each section proves.

3. Data check before writing

Before I write, check this data for problems: [paste]. List missing periods, totals that do not add up, mixed units, and numbers that look like typos. Do not fix anything; just list what to confirm.

Write the core sections

4. Answer-first executive summary

Write a 3 to 4 sentence executive summary for [reader]. Sentence one answers [question]. Sentence two gives the biggest number behind it from this data: [paste]. End with the main recommendation. Use only my figures.

5. Key figures table with math

Build a table of [metrics] for [periods] with change and percent change, using only this data: [paste]. Under the table, show the calculation for every derived number. Round to one decimal place.

6. Findings with confidence labels

Write 3 to 5 findings from this data and context: [data], [context]. Each finding: one fact, one sentence on what it means, and a label of "confirmed by the data" or "likely, not proven".

7. Recommendations with owners

For each finding below, write one recommendation with a suggested owner role, a first step for this week, and the metric that would show it worked: [findings].

Special report types

8. Incident report

Write an incident report from these notes: [timeline, impact, actions]. Sections: summary, timeline with times, impact using only the numbers given, root cause marked confirmed or suspected, fixes done, follow-ups with owners. Neutral, no blame.

9. Monthly status report

Turn these updates into a monthly status report for [audience]: [paste]. Group by project with status (on track, at risk, blocked), what changed since last month, and the one decision needed from the reader.

10. Research or survey report

Write a short survey report from these results: [question, response counts, open comments]. State the sample size up front, report percentages with the counts behind them, quote at most three comments as given, and list limits of the survey.

Polish and check

11. Plain language pass

Rewrite this report section for [reader] in plain words and short sentences. Keep every number and claim exactly as written. Remove filler, hedge words, and repeated points: [paste].

12. Final accuracy check

Compare this draft report to my source data. List every number in the draft, where it came from, and whether it matches. Flag any claim of cause that the data does not prove. Draft: [paste]. Data: [paste].

Worked example

A support team pasted Q3 figures for their VP: tickets of 1,240, 1,410, and 1,655 for July to September, billing tickets of 310 in August and 520 in September, median first response going from 3.1 to 5.2 hours, and CSAT falling from 91% to 84%. Their notes said new pricing launched September 2 and one agent left in August.

The flagship prompt opened with the answer: CSAT fell 7 points as billing tickets jumped after the pricing change. It showed the math (billing rose 210 of the 245 new tickets, about 85.7%), labeled the pricing link as "likely, not proven", and asked for September CSAT split by ticket type to confirm it. Get the full prompt in the report writing prompt.

Tips for accurate reports

Paste data as plain text or a small table, not a screenshot, so every number can be checked. Ask for the math line every time; it is the fastest way to catch a wrong percentage. Keep cause and correlation apart with confidence labels. For shorter outputs, the summarizing prompt sets length by audience, and the locked numbers report writer keeps figures fixed while you edit. To prepare the data first, see the ChatGPT prompts for Excel data analysis, and for academic work, the ChatGPT prompts for research proposals.

More writing prompts

Find more in the Writing prompts hub, browse all prompts, or share your own prompt.