customer-feedback-taxonomy

v2026.09.25

Standardized tagging schema for personas, lifecycle stages, drivers, and sentiment.

GitHub
Install command
npx skhub add gtmagents/customer-feedback-taxonomy
Markdown
SKILL.md

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.

Discovery
Tags

No tags published for this skill.

Version
Latest version metadata

Version

v2026.09.25

Published

Sep 25, 2026

Category

Uncategorized

License

Apache-2.0

Source path

plugins/voice-of-customer/skills/customer-feedback-taxonomy

Default branch

main

Latest commit

78e0419

Tree SHA

9016d99