Asking AI to Explain Data
AI can translate numbers and data into plain-language explanations that non-technical stakeholders can understand. This is a high-value skill for analysts, researchers, and managers.
8 min•By Priygop Team•Updated 2026
Data Explanation Prompt Examples
- Translate numbers: 'Explain this data in plain English for a non-technical audience. Focus on what it means for the business, not on the numbers themselves.'
- Explain statistics: 'What does a correlation of 0.85 mean in simple terms? Give an everyday analogy.'
- Contextualize data: 'This survey shows 72% satisfaction. Is that good? Explain what factors determine whether this is a good or bad result.'
- Narrative from data: 'Write a 2-paragraph narrative explaining the story this data tells. Audience: executive team. [paste data]'
- Simplify a chart: 'I have a chart showing [describe chart]. Explain what the chart is telling me in 2 sentences.'
Diagram
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Deep Learning ⊂ Machine Learning ⊂ Artificial Intelligence
Key Takeaways
- AI can translate data into plain-language explanations for non-technical audiences
- Ask AI to focus on what the data means, not just what it says
- Contextualization prompts ask AI to explain whether a result is good or bad
- Narrative explanations from data are useful for presentations and reports
- Always verify AI data explanations against your own understanding
Key Takeaways
- AI can translate numbers and data into plain-language explanations that non-technical stakeholders can understand.
- Translate numbers: 'Explain this data in plain English for a non-technical audience. Focus on what it means for the business, not on the numbers themselves.'
- Explain statistics: 'What does a correlation of 0.85 mean in simple terms? Give an everyday analogy.'
- Contextualize data: 'This survey shows 72% satisfaction. Is that good? Explain what factors determine whether this is a good or bad result.'