ReddRadar
Agent skill
customer-feedback-taxonomy
Standardized tagging schema for personas, lifecycle stages, drivers, and sentiment.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/voice-of-customer
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
- Persona Layer – map ICP, role, and influence level.
- Lifecycle Layer – awareness, onboarding, adoption, expansion, renewal, advocacy.
- Driver Layer – product, service, pricing, experience, relationship, outcomes.
- Sentiment Layer – strength, urgency, confidence, sample size.
- 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-tourto auto-tag new signals.
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