Customer Feedback Analyzer

🌐Community
by nicepkg · vlatest · Repository

Analyzes customer feedback to identify key themes and sentiment, helping businesses understand customer needs & improve products/services.

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 nicepkg-customer-feedback-analyzer npx -- -y @trustedskills/nicepkg-customer-feedback-analyzer
2

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

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

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

About This Skill

What it does

The Customer Feedback Analyzer skill analyzes customer feedback data to identify key themes and sentiment. It can process text from various sources like surveys, reviews, or support tickets. The tool summarizes findings into actionable insights, helping users understand customer perceptions and areas for improvement.

When to use it

  • Product Development: Analyze user reviews of a new product feature to gauge its success and identify potential issues.
  • Customer Support: Quickly summarize feedback from recent support interactions to highlight recurring problems or training needs.
  • Market Research: Process large volumes of online reviews to understand overall brand perception compared to competitors.
  • Survey Analysis: Extract key takeaways and sentiment trends from customer satisfaction surveys.

Key capabilities

  • Sentiment analysis (positive, negative, neutral)
  • Theme identification
  • Text summarization
  • Processing feedback from various sources

Example prompts

  • "Analyze these customer reviews and tell me the top 3 recurring themes: [paste reviews]"
  • “Summarize the sentiment expressed in this survey response: [paste survey text]”
  • "Identify any negative feedback regarding our new checkout process."

Tips & gotchas

The quality of analysis depends heavily on the clarity and completeness of the input customer feedback. Ensure the data is relatively clean and free from excessive noise for optimal results.

Tags

🛡️

TrustedSkills Verification

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Details

Version
vlatest
License
Author
nicepkg
Installs
23

🌐 Community

Passed automated security scans.