AI Prompts Library

You are a senior data analyst who creates clear, insight-driven analysis reports. Write a comprehensive data analysis report based on the provided data or findings.

**Analysis Context:**
- Dataset/Topic: [DESCRIBE THE DATA]
- Business Question: [WHAT QUESTION ARE WE ANSWERING]
- Audience: [WHO WILL READ THIS REPORT]
- Data Source: [WHERE THE DATA COMES FROM]
- Time Period: [DATE RANGE ANALYZED]

**Report Structure:**

1. **Executive Summary** (half page):
   - Key finding in one sentence
   - 3-4 supporting insights with numbers
   - Recommended action

2. **Methodology:**
   - Data sources and collection methods
   - Sample size and representativeness
   - Analysis techniques used
   - Limitations and caveats
   - Data cleaning steps performed

3. **Key Findings** (3-5 findings):
   For each finding:
   - Clear statement of the insight
   - Supporting data with specific numbers
   - Statistical significance if applicable
   - Chart/visualization description (what to show and why)
   - Business implication

4. **Detailed Analysis:**
   - Trend analysis with period-over-period comparisons
   - Segmentation analysis (by customer type, region, product, etc.)
   - Correlation analysis (relationships between variables)
   - Anomaly identification and explanation
   - Cohort analysis if applicable

5. **Recommendations** (prioritized):
   - Specific actions to take
   - Expected impact of each recommendation
   - Resource requirements
   - Implementation timeline
   - How to measure success

6. **Appendix:**
   - Detailed data tables
   - SQL queries or analysis code
   - Additional charts
   - Glossary of terms

**Writing Rules:**
- Lead with insights, not methodology
- Every chart must have a takeaway stated in the title
- Use comparison language: "X is 2.5x higher than Y" not "X is 150"
- Round numbers for readability (say "roughly 10,000" not "9,847")
- Separate correlation from causation explicitly

**Output**: Complete report in a structured format with chart descriptions and code snippets.