Automated Analysis Reports — ChatGPT for Data Analysis

From Raw File to Send-Ready Report

You now know how to import, clean, analyze, and visualize your data. You have practiced each skill separately; the final step is chaining them together. This lesson combines everything you have learned to produce a complete analysis report in a single ChatGPT session—structured, illustrated, and ready to share.

Structure of an Effective Analysis Report

A strong analysis report follows a pyramid structure: conclusions first, details second. This approach respects your readers’ reality. An executive rarely reads past the first page, while an operational team member who needs to take action will dig into the details later. Serving both audiences in the same document requires this specific order, not the reverse.

The report therefore opens with an executive summary of three to five key quantified points: what the decision-maker must retain if they read nothing else. Next come the key figures and KPIs, presenting each primary metric alongside its comparison to the previous period, because a number without context informs no one—“€1.2M” means nothing unless you know whether it was €1.1M or €1.4M the month before. The third section details the granular analysis with charts: trends, comparisons, and segmentations, with each section accompanied by its visual. The document closes with recommendations and next steps—concrete actions backed by data. An observation without a recommendation leaves the reader facing a problem they lack the means to solve, shifting work onto them that you were best positioned to handle.

The “Complete Report” Prompt

You can translate this structure directly into a single prompt. The more you frame the sections upfront, the fewer back-and-forth iterations you will need later.

Based on this sales file, generate a complete analysis report:

1. EXECUTIVE SUMMARY
- Total revenue and variance vs. previous period
- Top 3 key highlights
- Alert if any indicator falls below threshold

2. KPIs
- Total revenue, number of orders, average basket size, conversion rate
- Each KPI with its variance (%, up/down arrow)

3. ANALYSIS BY DIMENSION
- By region: table + bar chart
- By category: table + pie chart
- Monthly evolution: line chart with trend

4. POINTS OF ATTENTION
- Products down more than 10%
- Regions below target
- Detected anomalies

5. RECOMMENDATIONS
- 3 priority actions based on the data

ChatGPT produces each section with text, tables, and integrated charts. Always review the “points of attention” section before distributing: this is where false positives slip in. A product that appears to “plummet 40%” simply because March sales haven’t been entered yet will cost you far more credibility than the few minutes it would have taken to verify.

Adapting the Report to the Audience

The same dataset yields three different documents depending on the reader. For an executive committee, the constraints are brevity and the complete removal of methodology.

Summarize the analysis in 1 page maximum. Only key figures,
alerts, and the 3 decisions to make.
No technical jargon, no methodology.

For the operational team, the requirement flips: they need detail by scope and the levers they can pull starting Monday morning, including raw data for those who want to recalculate.

Detail the analysis by region with specific action levers.
Include detailed tables and comparative charts.
Add raw data in an appendix.

For a recurring monthly report, the challenge is no longer content but formatting consistency: a reader who finds the same structure every month reads much faster because they know where to look.

Use the same format as last month
(which I showed you in the previous message).
Update the data with the March 2026 file.
Systematically compare with February 2026 and March 2025.

Automating with a Prompt Template

Instead of rewriting your instructions every month, lock them once and for all into a template where only the values in brackets change. This moves you from craftsmanship to routine, and it is the moment your method becomes transferable.

MONTHLY REPORT TEMPLATE — [MONTH] [YEAR]

Data: attached file
Period: [CURRENT MONTH]
Comparison: [PREVIOUS MONTH] and [SAME MONTH LAST YEAR]
Monthly Targets: Revenue = [X]€, Orders = [Y], Basket = [Z]€

Mandatory Sections:
1. Executive summary (5 lines max)
2. KPI table with variances
3. Monthly evolution chart (12-month line)
4. Top/Flop 5 products
5. Regional analysis (table + bars)
6. Alerts and recommendations

Style: professional, concise, each chart as 1920x1080 PNG.

You only need to change the month and the file, and the report is ready in minutes. Store this text in the instructions of a project dedicated to your reports, or in a ChatGPT Work model, rather than buried in an old conversation: this template now carries your method, and it is what you will hand off to your replacement while you are on vacation.

Exporting the Final Report

Once you have validated the sections in the conversation, have ChatGPT Work assemble the final document in the format expected by the recipient—for example, a Word document or Google Doc:

Assemble all validated sections and charts into a single
6-page document, with pagination and a table of contents. Do not change the figures.

If the report must be presented orally, the logic changes completely: one message per slide, one visual per message, and nothing that forces the audience to read while you speak. ChatGPT Slides, ChatGPT Work, or ChatGPT for PowerPoint, covered in Lesson 8, take over at this point:

Transform this report into 10 slides (1 slide = 1 key message),
with one chart per slide.

In both cases, verify the content, layout, and every figure before distributing.

Lesson method.

Your Turn

Your first automated report.

Take last month’s export and run the “complete report” prompt
Check the “points of attention” section line by line
Produce the one-page version for leadership
Turn your instructions into a template and save it in a project
Next month, run the template on the new file and compare the time spent

Official sources: Data analysis with ChatGPT · Creating and editing documents, spreadsheets, and presentations with ChatGPT Work · Projects in ChatGPT (OpenAI Help Center)

Key Takeaways

Pyramid structure: conclusions first, details second
Every observation must include a figure and a recommendation
Adapt the level of detail to the audience (executive vs. operational)
Create a prompt template for recurring reports
A report without recommendations is just a collection of numbers