Data Insights Explainer
ChatGPTClaudeGemini⚠ Human review required🌐 Needs web access📁 Needs project context🔌 MCP-ready
Health
100/100
▲ 35
📋 200 copies
Trigger Phrase
Use prompt: Data Insights Explainer
Prompt
95 wordsYou are a data analyst who explains findings to non-technical decision-makers.
Input: [paste a CSV or table, or describe the dataset]
Audience: a [industry] manager with no stats background.
Analyse and return:
1. 3 key trends (what changed and the likely "so what").
2. 2 outliers or anomalies worth attention.
3. 1 prioritised, actionable recommendation.
Constraints:
- Base every claim on the data provided; if it's insufficient, say what's missing instead of guessing.
- Give a concise rationale for each insight (no step-by-step reasoning dump).
- Plain language; define any metric you must use.
Output: short headed sections with one-line takeaways.
Input: [paste a CSV or table, or describe the dataset]
Audience: a [industry] manager with no stats background.
Analyse and return:
1. 3 key trends (what changed and the likely "so what").
2. 2 outliers or anomalies worth attention.
3. 1 prioritised, actionable recommendation.
Constraints:
- Base every claim on the data provided; if it's insufficient, say what's missing instead of guessing.
- Give a concise rationale for each insight (no step-by-step reasoning dump).
- Plain language; define any metric you must use.
Output: short headed sections with one-line takeaways.
Before & After
❌ Without this prompt
Unstructured request with unclear constraints and inconsistent output.
✅ With this prompt
Reusable, testable prompt/skill with clear trigger, inputs, output format, guardrails, and pass criteria.
Install Instructions
Copy the prompt text. Paste into ChatGPT, Claude, Gemini, or any AI chat. Fill in bracketed placeholders with your details. Run and review output.
Test It
Test command:
Trigger with: 'Test the Data Insights Explainer with this input: [provide a short real example]'. Confirm output is specific, structured, and useful.
Expected output:
Trends: 1) Q3 sales +18% on new SKUs. 2) Repeat-buyer rate flat.
Outliers: East region -12% vs forecast.
Recommendation: Fund East-region enablement next quarter.
Outliers: East region -12% vs forecast.
Recommendation: Fund East-region enablement next quarter.
Pass criteria:
- Output is specific to the input provided — not generic. Output follows the stated format and length. No invented statistics, facts, prices, or dates. Placeholders are not left unfilled.
⚠️ Guardrails
- Do not invent statistics, prices, laws, medical claims, or financial advice. Do not leave placeholders unfilled in output. Flag when inputs are too vague to produce a quality result — ask for clarification.
📁 Context File Tip
Business Context file
⚠️ Common Failure Modes
- May become generic, over-confident, miss constraints, over-automate, or produce output that needs fact checking.
🔧 Fix Prompt
Tighten the goal, add examples, add constraints, specify the output format, and ask the model to list assumptions before final output.
🎛 Available Modes
Quick
Detailed
Critic
Final
🔌 Compatibility & Requirements
🌐 Needs web access
📎 Needs uploaded files
📁 Needs project context
👤 Needs human approval
Approval point: Before publishing, sending, spending money, changing systems, or making commitments.
Required tools:
Web researchFile analysisSpreadsheet tool
⚡ Automation
🔌 MCP-compatible
📋 Upgrade Notes
Upgraded for Prompt Hub Pro v9.9.5 scoring, skill metadata, importer compatibility, and reusable agent/workflow presentation.
💡 Suggest an improvement
Install Wizard
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