smithery.ai

customer-feedback-taxonomy

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

First seen Mar 31, 2026

Installation

$ npx skills add https://smithery.ai

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,173 B
  • docs SUMMARY.md 117 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

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.