home / skills / gtmagents / gtm-agents / community-insight-taxonomy
/plugins/community-building/skills/community-insight-taxonomy
This skill standardizes community feedback tagging across forums, events, surveys, and interviews to power dashboards and AI routing.
npx playbooks add skill gtmagents/gtm-agents --skill community-insight-taxonomyReview the files below or copy the command above to add this skill to your agents.
---
name: community-insight-taxonomy
description: Tagging schema for classifying community signals by persona, journey,
and business impact.
---
# Community Insight Taxonomy Skill
## When to Use
- Standardizing feedback tagging across forums, events, surveys, and interviews.
- Sharing structured insights with product, marketing, or CS teams.
- Powering dashboards and AI routing for community signals.
## Framework
1. **Persona Dimension** – builders, admins, execs, partners, champions, newcomers.
2. **Journey Stage** – onboarding, activation, adoption, expansion, advocacy, lapse.
3. **Driver Dimension** – product, support, education, pricing, community experience, roadmap.
4. **Sentiment & Urgency** – positive/neutral/negative + severity/impact.
5. **Business Linkage** – map to ARR tier, account health, opportunity pipeline, or churn risk.
## Templates
- Tag dictionary with definitions, examples, and confidence guidelines.
- Airtable/Sheet schema with validation + automation hooks.
- Quick-reference cheatsheet for moderators/interviewers.
## Tips
- Run monthly taxonomy reviews to merge duplicates and add emerging themes.
- Capture "what good looks like" examples to maintain consistency.
- Pair with `run-member-insight-sprint` for auto-tagged datasets.
---
This skill provides a tagging schema to classify community signals by persona, customer journey stage, drivers, sentiment, and business impact. It standardizes how feedback from forums, events, surveys, and interviews is labeled so teams can route, analyze, and act on insights. The taxonomy is production-ready and designed for GTM workflows in sales, marketing, CS, and rev ops.
The taxonomy inspects community inputs and assigns tags across five dimensions: persona, journey stage, driver, sentiment/urgency, and business linkage. It ships with a tag dictionary, schema templates for Airtable/Sheets, and confidence guidelines to support automated or manual tagging. Tags can be used to power dashboards, AI routing, prioritization, and downstream reporting.
How often should the taxonomy be reviewed?
Review monthly to merge duplicates, add new themes, and refresh examples based on emerging feedback.
Can this work with automated tagging?
Yes. Use the tag dictionary and confidence guidelines to train or validate auto-tagging models, and keep a human review loop for low-confidence items.