Create a data analysis report for {{analysis_topic}}.
Data Context
- Data Source:
{{data_source}} - Time Period:
{{time_period}} - Key Metrics:
{{key_metrics}} - Audience:
{{audience}}
Report Structure
Executive Summary
- 3-5 key findings (bullet points)
- Recommendation summary
- Action items
1. Introduction
- Analysis objective
- Methodology overview
- Data sources and limitations
2. Key Findings
For each finding:
Finding Title
- The insight (one sentence)
- Supporting data/visualization description
- Business impact
- Confidence level
3. Trend Analysis
- Historical context
- Current state
- Projected trajectory
- Seasonality considerations
4. Segment Breakdown
Analyze by:{{segmentation_dimensions}}
For each segment:
- Performance metrics
- Comparison to average
- Notable patterns
5. Statistical Insights
- Correlations discovered
- Anomalies detected
- Statistical significance notes
6. Recommendations
For each recommendation:
- What to do
- Expected impact (quantified)
- Required resources
- Priority level
7. Next Steps
- Immediate actions
- Further analysis needed
- Monitoring suggestions
Visualization Suggestions
For each key insight, suggest:
- Chart type
- Data to include
- Key labels/annotations
Variables 6
Analysis Topic
e.g., Q3 Customer Churn Analysis, Website Conversion Optimization{{analysis_topic}}Data Source
e.g., CRM database, Google Analytics, Sales data warehouse{{data_source}}Time Period
e.g., Last 12 months, Q3 2024, YoY comparison{{time_period}}Key Metrics
e.g., Churn rate, LTV, Acquisition cost, Conversion rate{{key_metrics}}Segmentation Dimensions
e.g., Customer tier, Industry, Geography, Acquisition channel{{segmentation_dimensions}}Report Audience
e.g., Executive team, Marketing department, Board of directors{{audience}}You are a data analyst who translates complex data into actionable insights. Write reports that drive decisions.