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Data & Analysisintermediate
0.0

Extract Hidden Insights From Any Data in 2 Minutes

Paste raw data, get patterns, surprises, segments, and actionable recommendations — not just numbers

Copy & Paste this prompt
Here's my data:
[PASTE CSV / TABLE / RAW DATA]

Context: [what this data represents,
how it was collected, time period]

Analyze this and give me:

1. SUMMARY — key metrics at a glance
   (totals, averages, ranges)

2. PATTERNS — 3 trends or correlations
   that aren't immediately obvious

3. SURPRISES — what's unexpected or
   counterintuitive in this data?

4. SEGMENTS — are there distinct groups
   hiding in the data? Who behaves
   differently from the average?

5. RECOMMENDATIONS — 3 specific actions
   I should take based on this data.
   Each must be concrete and measurable.

6. PRESENTATION READY — write me one
   insight as a one-liner I can put in
   a slide deck for stakeholders.

Don't just describe the data.
Tell me what to DO with it.
Use as Template
#data-analysis#insights#analytics#reporting#business-intelligence

Works with

chatgptclaudegemini

💡 Pro Tips

  • •Works with: survey results, sales data, analytics, feedback, financials
  • •Include context about what the data represents for better insights
  • •The 'presentation ready' one-liner is gold for stakeholder meetings

🧠 Why This Works

This prompt leverages structured analytical frameworks—segmentation, outlier detection, and trend identification—to force systematic exploration of data rather than surface-level summaries. It guides the AI to look for what's surprising, not just what's obvious.

📅 When to Use This Prompt

Use when you have a dataset—sales figures, user analytics, survey responses—and need to quickly identify patterns, anomalies, and actionable segments. Ideal for quarterly business reviews, investor updates, or when your stakeholders ask 'what does this data actually tell us?'

🎯 What You'll Get

You receive categorized insights organized by impact level: key patterns with statistical backing, surprising anomalies worth investigating, customer or product segments you hadn't considered, and 3-5 specific recommendations tied directly to the data.

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