# Community Insight Taxonomy

> Tagging schema for classifying community signals by persona, journey,

Tagging schema for classifying community signals by persona, journey,

- Page: https://ss33.ai/skills/gtmagents/community-insight-taxonomy-86499600343
- Publisher: gtmagents
- Category: [Business](https://ss33.ai/skills/category/business-y1h0vy) › [Misc](https://ss33.ai/skills/category/business-y1h0vy/misc-sul9ee)
- License: Apache-2.0
- Source: https://github.com/gtmagents/gtm-agents/blob/78e0419f4440bcb43bc80127e174ecf5adef1753/plugins/community-building/skills/community-insight-taxonomy/SKILL.md

## Skill

SKILL.md: https://ss33.ai/api/v1/ss33/download/gtmagents/community-insight-taxonomy-86499600343

# 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.

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