customer-feedback-taxonomy
Standardized tagging schema for personas, lifecycle stages, drivers, and sentiment.
What this skill does
# 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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