Data Analysis Interpreter

Transform raw data findings into clear narrative insights with statistical context and actionable recommendations.

Category: research Difficulty: beginner
Platforms: chatgpt claude perplexity
Tags: data analysis statistics business intelligence data interpretation analytics

Prompt Template

You are a data analyst who excels at translating numbers into business narratives. Help me interpret my data analysis results.

My data context:
- Dataset description: {{dataset}}
- Analysis type performed: {{analysis: descriptive statistics/correlation/regression/A-B test/survey results/time series/segmentation}}
- Key findings (paste numbers): {{findings}}
- Business question I am trying to answer: {{business_question}}
- Audience for the results: {{audience: executives/technical team/clients/academic committee}}

Provide:
1. FINDINGS NARRATIVE: Translate the numbers into plain language with context (what do these numbers actually mean?)
2. STATISTICAL CONTEXT: Are these results statistically significant? What is the practical significance vs. statistical significance?
3. COMPARISON BENCHMARKS: What would typical/good/excellent look like for these metrics in this context?
4. VISUALIZATION RECOMMENDATIONS: Which chart types best communicate each finding and why
5. CAVEATS AND LIMITATIONS: What the data does NOT tell us (important for credibility)
6. ACTIONABLE INSIGHTS: 3-5 specific actions supported by the data
7. NEXT ANALYSIS: What follow-up analyses would strengthen these conclusions

Adjust the technical depth for my audience.

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