SkillsLib.ai

Survey Data Analysis Assistant

Analyze survey data, extract insights, and generate reports instantly

4.2(5 reviews)
10+ downloads
Updated Sep 2026

What You Can Do

You'll transform raw survey responses into structured analysis with pattern identification, statistical summaries, and actionable insights. This skill automatically codes open-ended responses, detects themes and sentiment, identifies demographic trends, and generates professional reports ready to share with stakeholders.

Features

Automated Response Coding

Claude categorizes open-ended survey responses into consistent themes without manual tagging, saving hours of manual coding work

Statistical Summaries

Generate frequency distributions, cross-tabulations, and demographic breakdowns with key statistics for quantitative survey data

Sentiment and Theme Analysis

Identify emotional tone, recurring themes, and key topics across responses to understand respondent sentiment and priorities

Comparative Insights

Surface differences and patterns across respondent segments, demographics, or time periods to reveal meaningful variations

Visualization Recommendations

Receive chart and graph suggestions optimized for your data, with guidance on which visualizations tell your story most effectively

Export-Ready Reports

Get professionally formatted reports with findings, quotes, and recommendations structured for immediate stakeholder communication

Data Quality Assessment

Evaluate survey completeness, identify missing patterns, spot outliers, and flag potential data quality issues before analysis

Hypothesis Testing

Test your assumptions against the data with Claude's analysis of whether response patterns support or contradict your initial hypotheses

Example Output

Sample Analysis Output:

Key Findings

  • 72% of respondents mentioned ease of use as a primary factor
  • Three dominant themes emerged: product quality (45%), customer support (38%), and pricing (28%)
  • Sentiment breakdown: Positive 58%, Neutral 32%, Negative 10%

Demographic Breakdown

By Department:

  • Sales (n=42): Prioritize integration features
  • Marketing (n=35): Focus on reporting capabilities
  • Support (n=28): Emphasize ease of setup

Representative Quotes

"The dashboard saved us hours every week" - Enterprise respondent "Setup took longer than expected" - Small business respondent

Recommended Visualizations

  • Stacked bar chart: sentiment by respondent segment
  • Word cloud: most frequently mentioned features
  • Bubble chart: feature importance vs. satisfaction correlation

What's Included

  • Response Analysis Templates: Pre-built prompts for analyzing Likert scales, open-ended responses, and mixed-method surveys
  • Statistical Analysis Frameworks: Structured approaches for calculating descriptive statistics, correlations, and comparative analysis across groups
  • Report Generation Prompts: Templates for synthesizing findings into executive summaries, detailed reports, and stakeholder presentations
  • Theme Extraction Workflow: Step-by-step process for coding responses, consolidating themes, and validating patterns against your data
  • Visualization Decision Guide: Framework for selecting appropriate charts based on data type, audience, and key message

Who It's For

  • Market Researchers
  • UX and Product Researchers
  • Product Managers
  • Data Analysts
  • Customer Success and Support Leaders

Best For

  • Qualitative response analysis and thematic coding
  • Survey report generation and synthesis
  • Demographic trend identification
  • Comparative analysis across respondent groups
  • Feedback categorization and priority ranking

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