Feedback Analyzer

🌐Community
by adaptationio · vlatest · Repository

Analyzes textual feedback to identify key themes & sentiment, streamlining understanding and guiding improvement efforts.

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 adaptationio-feedback-analyzer npx -- -y @trustedskills/adaptationio-feedback-analyzer
2

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

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

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

About This Skill

What it does

The Adaptation.io Feedback Analyzer skill processes textual feedback data, identifying key themes and sentiment to provide actionable insights. It can categorize feedback into pre-defined categories or automatically discover new ones. This allows users to understand user opinions and improve products or services based on that understanding.

When to use it

  • Analyzing customer reviews for a product launch to identify common complaints or praise points.
  • Processing survey responses to gauge user satisfaction with a new feature.
  • Categorizing support tickets to prioritize urgent issues and identify recurring problems.
  • Evaluating internal feedback from employees on company initiatives.

Key capabilities

  • Feedback categorization
  • Sentiment analysis
  • Theme extraction
  • Automatic category discovery

Example prompts

  • "Analyze this customer review: 'The app is great, but the onboarding process was confusing.'"
  • "Categorize these survey responses and identify any emerging themes."
  • "What's the overall sentiment expressed in this collection of support tickets?"

Tips & gotchas

Requires textual feedback data as input. The accuracy of categorization and theme extraction depends on the quality and clarity of the provided text.

Tags

🛡️

TrustedSkills Verification

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Details

Version
vlatest
License
Author
adaptationio
Installs
7

🌐 Community

Passed automated security scans.