Survey Analyzer

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by dkyazzentwatwa · vlatest · Repository

Analyzes open-ended survey responses to identify key themes and sentiments, streamlining data interpretation for actionable insights.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add dkyazzentwatwa-survey-analyzer npx -- -y @trustedskills/dkyazzentwatwa-survey-analyzer
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "dkyazzentwatwa-survey-analyzer": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/dkyazzentwatwa-survey-analyzer"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The Survey Analyzer skill enables AI agents to perform comprehensive analysis of survey data. It supports various analytical techniques including Likert scale scoring, cross-tabulation, frequency analysis, sentiment scoring for text responses, and theme extraction from open-ended questions. The tool can also generate reports in PDF or HTML formats, providing actionable insights from collected survey information.

When to use it

  • Analyzing customer satisfaction surveys to identify areas for improvement.
  • Investigating relationships between different demographic groups and product preferences.
  • Gauging the overall sentiment expressed in open-ended feedback comments.
  • Creating reports summarizing key findings from a large dataset of survey responses.
  • Quickly understanding response distributions for multiple choice questions.

Key capabilities

  • Likert Scale Analysis: Scores and visualizes agreement scales.
  • Cross-Tabulation: Analyzes relationships between categorical variables.
  • Frequency Analysis: Determines the distribution and percentages of responses.
  • Sentiment Scoring: Assesses the sentiment expressed in text responses.
  • Open-Ended Analysis: Extracts key themes from open-ended text responses.
  • Statistical Tests: Performs Chi-square tests, correlation analysis, and significance testing.
  • Visualizations: Generates bar charts, heatmaps, word clouds, and distribution plots.
  • Report Generation: Creates comprehensive PDF/HTML reports.

Example prompts

  • "Analyze the 'satisfaction' Likert scale question in my survey data."
  • "Create a cross-tabulation of 'age_group' versus 'product_preference'."
  • "Perform sentiment analysis on the open-ended comments and identify any recurring themes."
  • "Generate a PDF report summarizing the key findings from this survey."

Tips & gotchas

  • The skill requires access to your survey data, typically in CSV format.
  • Ensure that Likert scale questions are properly formatted for accurate scoring.
  • Familiarize yourself with the available statistical tests and visualizations to effectively interpret the results.

Tags

🛡️

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Details

Version
vlatest
License
Author
dkyazzentwatwa
Installs
33

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Passed automated security scans.