home / skills / gtmagents / gtm-agents / 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-taxonomy

Review the files below or copy the command above to add this skill to your agents.

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SKILL.md
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---
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.

---

Overview

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.

How this skill works

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.

When to use it

  • Standardize feedback tagging across forums, events, surveys, and interviews
  • Share structured community insights with product, marketing, or customer success teams
  • Power dashboards and AI routing for community-derived signals
  • Prioritize roadmap items by business linkage and churn risk
  • Run insight sprints or monthly taxonomy reviews

Best practices

  • Keep tags short, mutually exclusive, and regularly reviewed to avoid drift
  • Capture ‘what good looks like’ examples for each tag to boost inter-rater reliability
  • Run monthly taxonomy reviews to merge duplicates and add emerging themes
  • Include confidence scores and examples when automating tag assignment
  • Map tags to business metrics (ARR tier, account health, pipeline, churn risk) for actionability

Example use cases

  • Automatically route urgent negative product issues from community forums to support and product triage
  • Tag event feedback by persona and journey stage to tailor follow-up campaigns
  • Feed tagged signals into dashboards to surface top drivers of expansion or churn
  • Use tag dictionary and sheet schema to train moderators and improve consistency
  • Combine with an auto-tagging sprint to bulk-process historical community data

FAQ

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.