# Customer Feedback Taxonomy

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

- Skill: `majiayu000/customer-feedback-taxonomy` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/customer-feedback-taxonomy`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/customer-feedback-taxonomy/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/customer-feedback-taxonomy

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# 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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