Winbda Survey Analyzer
Overview
Analyzes survey responses to extract patterns, insights, and actionable recommendations.
Workflow
Step 1: Receive the Data
Accept survey data in any format (CSV, JSON, pasted text, or described verbally).
Step 2: Analyze
- Response overview: Total responses, completion rate, date range
- Quantitative analysis: Averages, distributions, correlations
- Qualitative analysis: Theme extraction from open-ended responses
- Segment analysis: Differences between groups
- Trend identification: Patterns and outliers
Step 3: Generate Report
Output Format
# Survey Analysis: [Survey Name]
## Overview
- **Total responses**: [N]
- **Completion rate**: [X%]
- **Date range**: [dates]
- **Key finding**: [One-sentence headline result]
## Executive Summary
[3-5 sentences covering the most important findings]
## Key Metrics
| Question/Metric | Result | Benchmark | Status |
|----------------|--------|-----------|--------|
| [Metric 1] | [value] | [if known] | 🟢/🟡/🔴 |
## Detailed Findings
### Finding 1: [Title]
**Data**: [what the numbers show]
**Insight**: [what it means]
**Action**: [what to do about it]
[Repeat for top findings]
## Open-Ended Response Themes
| Theme | Frequency | Sentiment | Sample Quote |
|-------|-----------|-----------|-------------|
| [Theme] | [X mentions] | Positive/Negative | "[quote]" |
## Recommendations
1. [Action item with priority]
2. [Action item with priority]
3. [Action item with priority]
## Methodology Notes
[How analysis was conducted, limitations]
Quality Checklist
- Key finding stated upfront
- Quantitative and qualitative data combined
- Recommendations are specific and actionable
- Visualizations suggested for key data
- Limitations acknowledged