Data & Analytics

Data Analysis Report Generator

Turn raw data or a dataset description into a structured analytical report.

Use case

Transforming raw data or analysis results into structured business reports

Works best with

ClaudeChatGPT

Input needed

Raw data, analysis results, or key metrics. Include context about the audience, business questions being answered, and any visualization descriptions.

Output format

Executive summary, key findings with supporting data, trend analysis, recommendations, and suggested next steps

Example use

Provide Q3 sales figures across regions. Get back a report highlighting top-performing regions, YoY trends, underperforming segments with root cause hypotheses, and 3 actionable recommendations.

Editor’s Note

Excellent at narrative structure — turns numbers into stories. The main risk is false confidence in causal claims. The AI will suggest correlations are causation. Always qualify statements like 'this may indicate' rather than accepting definitive claims about why metrics moved.

Full Prompt

Act as a senior data analyst. Analyze the data below and produce a structured report.

Data / Context: [PASTE DATA OR DESCRIBE DATASET]

Output the report in this structure:
1. Executive Summary — 3 bullet points of the most important findings.
2. Key Metrics — A table of the 5–7 most relevant metrics with current values.
3. Trends & Patterns — What is increasing, decreasing, or anomalous?
4. Segment Breakdown — Performance by [SEGMENT, e.g., region, product, cohort].
5. Root Cause Hypotheses — 2–3 possible explanations for the top finding.
6. Recommended Actions — 3 concrete, prioritised next steps.