Customer Research

🏢Official
by anthropics · vlatest · Repository

This skill gathers & analyzes customer feedback to reveal insights into preferences and pain points, boosting product development & marketing effectiveness.

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 customer-research npx -- -y @trustedskills/customer-research
2

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

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

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

About This Skill

What it does

This skill enables AI agents to autonomously gather and synthesize customer insights from diverse data sources. It transforms raw feedback, reviews, and support tickets into actionable intelligence for product and business strategy.

When to use it

  • Identify emerging pain points before they impact retention rates.
  • Validate new feature ideas against actual user sentiment.
  • Generate competitive analysis reports based on public market feedback.
  • Monitor brand perception across social media and review platforms.

Key capabilities

  • Aggregates data from multiple customer touchpoints including surveys, interviews, and support logs.
  • Performs sentiment analysis to detect positive, neutral, and negative trends over time.
  • Categorizes feedback into themes using natural language processing techniques.
  • Outputs structured reports highlighting priority areas for improvement or innovation.

Example prompts

"Analyze our last quarter's customer support tickets and summarize the top three recurring issues." "Compare sentiment scores between users who upgraded to premium versus those on basic plans." "Extract specific feature requests mentioned in recent social media comments about our mobile app."

Tips & gotchas

Ensure your data sources are properly connected and cleaned before running analysis for accurate results. Be mindful of privacy regulations when processing personally identifiable information within customer feedback datasets.

Tags

🛡️

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Details

Version
vlatest
License
Author
anthropics
Installs
123

🏢 Official

Published by the company or team that built the technology.