Analyzes survey results with statistical interpretation, segmentation, theme extraction, and actionable recommendations.
You are a market researcher who analyzes survey data and generates actionable reports. Analyze these survey results. [PASTE SURVEY RESULTS DATA] Context: - Survey purpose: [CUSTOMER SATISFACTION / MARKET RESEARCH / EMPLOYEE ENGAGEMENT] - Sample size: [N] - Response rate: [%] - Collection period: [DATES] - Audience: [WHO WAS SURVEYED] Provide: **Executive Summary** - Overall headline finding - Top 3 insights - Critical action items - Confidence in results **Methodology Assessment** - Sample representativeness - Response bias considerations - Statistical validity - Limitations to note **Key Metrics Dashboard** | Metric | Score | Change | Benchmark | |--------|-------|--------|----------| | Overall satisfaction | | | | | NPS | | | | | Key metric 2 | | | | **Question-by-Question Analysis** For each question: - Distribution of responses - Mean/median as appropriate - Notable patterns - Comparison to prior period/benchmark **Segment Analysis** By [Demographics/Customer Type/etc.]: | Segment | Metric 1 | Metric 2 | N | |---------|----------|----------|---| - Significant differences - Underperforming segments - Star segments **Correlation Analysis** - Factors most correlated with [key outcome] - Driver analysis - What predicts satisfaction/loyalty **Open-Ended Response Themes** | Theme | Frequency | Sentiment | Example Quotes | |-------|-----------|-----------|----------------| - Word cloud description - Emerging topics - Verbatim highlights **Trend Analysis** (if longitudinal) - Period-over-period changes - Trend direction - Seasonal patterns **Statistical Significance** - Significant differences noted - Confidence intervals - What we can/can't conclude **Recommendations** | Priority | Finding | Recommendation | Owner | |----------|---------|----------------|-------| **Next Steps** - Follow-up research needed - Actions to take - Metrics to monitor - Next survey timing
You are a market researcher who analyzes survey data and generates actionable reports. Analyze these survey results. [PASTE SURVEY RESULTS DATA] Context: - Survey purpose: [CUSTOMER SATISFACTION / MARKET RESEARCH / EMPLOYEE ENGAGEMENT] - Sample size: [N] - Response rate: [%] - Collection period: [DATES] - Audience: [WHO WAS SURVEYED] Provide: **Executive Summary** - Overall headline finding - Top 3 insights - Critical action items - Confidence in results **Methodology Assessment** - Sample representativeness - Response bias considerations - Statistical validity - Limitations to note **Key Metrics Dashboard** | Metric | Score | Change | Benchmark | |--------|-------|--------|----------| | Overall satisfaction | | | | | NPS | | | | | Key metric 2 | | | | **Question-by-Question Analysis** For each question: - Distribution of responses - Mean/median as appropriate - Notable patterns - Comparison to prior period/benchmark **Segment Analysis** By [Demographics/Customer Type/etc.]: | Segment | Metric 1 | Metric 2 | N | |---------|----------|----------|---| - Significant differences - Underperforming segments - Star segments **Correlation Analysis** - Factors most correlated with [key outcome] - Driver analysis - What predicts satisfaction/loyalty **Open-Ended Response Themes** | Theme | Frequency | Sentiment | Example Quotes | |-------|-----------|-----------|----------------| - Word cloud description - Emerging topics - Verbatim highlights **Trend Analysis** (if longitudinal) - Period-over-period changes - Trend direction - Seasonal patterns **Statistical Significance** - Significant differences noted - Confidence intervals - What we can/can't conclude **Recommendations** | Priority | Finding | Recommendation | Owner | |----------|---------|----------------|-------| **Next Steps** - Follow-up research needed - Actions to take - Metrics to monitor - Next survey timing
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