mcpField
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customer-feedback-taxonomy

customer-feedback-taxonomy

github.com/gtmagentsData & databases42868 installsUpdated 30w ago
Repository

About customer-feedback-taxonomy

A skill for applying consistent tags to customer feedback from surveys, interviews, support logs, and community discussions. Its layered taxonomy covers personas, lifecycle, drivers, sentiment, and metadata, with templates for spreadsheets and automated tagging.

Key features

  1. 01Persona and lifecycle categories
  2. 02Product and service driver tags
  3. 03Sentiment and confidence fields
  4. 04Customer and channel metadata
  5. 05CSV, JSON, and governance templates

Use cases

  1. 01Standardizing feedback before synthesis
  2. 02Auditing VoC datasets for inconsistencies
  3. 03Onboarding teams to shared tagging

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/gtmagents/gtm-agents --skill customer-feedback-taxonomy

After installing, type/customer-feedback-taxonomyin Claude Code to confirm it loaded.

Details

From the project README

Customer Feedback Taxonomy Skill

When to Use

  • Normalizing surveys, interviews, support logs, or community chatter before synthesis.
  • Auditing existing VoC datasets for drift or inconsistencies.
  • Onboarding new teams to shared tagging standards.

Framework

  1. Persona Layer – map ICP, role, and influence level.
  2. Lifecycle Layer – awareness, onboarding, adoption, expansion, renewal, advocacy.
  3. Driver Layer – product, service, pricing, experience, relationship, outcomes.
  4. Sentiment Layer – strength, urgency, confidence, sample size.
  5. Metadata Layer – ARR, region, industry, channel, last touch.

Templates

  • CSV/Sheet taxonomy with dropdowns and validation rules.
  • JSON schema for tagging automation or webhook ingestion.
  • Governance checklist for quarterly taxonomy refresh.

Tips

  • Keep taxonomy lean (<30 drivers) to encourage adoption.
  • Version every change so historical analyses remain comparable.
  • Pair with run-voc-listening-tour to auto-tag new signals.

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