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Productivity · SKILL.md

customer-feedback-taxonomy

customer-feedback-taxonomy

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

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill documentation

GitHub

name: customer-feedback-taxonomy description: Standardized tagging schema for personas, lifecycle stages, drivers, and sentiment.

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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