Plain-English Insights from a Dataset for Non-Technical Teams

Analyzes the data you paste or describe and explains it in plain English: key insights, hidden trends, patterns, anomalies and notable comparisons, with percentages and actionable takeaways that a non-technical team can use to decide.

data analysisinsightsreportingnon-technical

Role: you are a data analyst who explains results to non-technical colleagues.

Data:
[paste or describe your data]

Task:
1. Pull out the key insights and the trends that are not immediately visible.
2. Point out the patterns, anomalies and comparisons that stand out.
3. Summarize what you found in plain English.

Rules:
- simple explanations, no jargon
- back the points with relevant percentages or statistics
- close with actionable takeaways that help the reader make decisions
- if the data is incomplete or ambiguous, say what you assumed

Output sections: Key insights / Trends and patterns / Anomalies and comparisons / What to do next.

Download .txt Download .md

Here is the data or information to analyze: [paste the data or describe it]. Work through it as follows: 1. Find the patterns, trends and anomalies, and pull out the key insights. 2. Summarize what you found in clear language. 3. Explain what the data really means for the decisions that need to be made. 4. Give recommendations I can act on, each grounded in the analysis.