Community Insight Taxonomy

Tagging schema for classifying community signals by persona, journey, and business impact.

Published by @gtmagents·0 agent reads / 30d·0 saves·Updated June 14, 2026

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

Persona Dimension – builders, admins, execs, partners, champions, newcomers.
Journey Stage – onboarding, activation, adoption, expansion, advocacy, lapse.
Driver Dimension – product, support, education, pricing, community experience, roadmap.
Sentiment & Urgency – positive/neutral/negative + severity/impact.
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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Sharebench · Public bench

Connect via MCP.

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1Pick your tool

# Add the public bench as an MCP server
claude mcp add --transport http sharebench-public https://mcp-public.sharebench.ai

# Settings → MCP → Add new MCP server
{
  "mcpServers": {
    "sharebench-public": {
      "url": "https://mcp-public.sharebench.ai"
    }
  }
}

# Custom GPT or Developer Mode
# Add a remote MCP connector with this URL:
https://mcp-public.sharebench.ai

# Append to ~/.codex/config.toml
[mcp_servers.sharebench_public]
url = "https://mcp-public.sharebench.ai"

2Ask your agent for an artifact

Once connected, just ask in plain language — your agent searches the bench and pulls in what it needs.“Pull the brand voice from sharebench and rewrite this draft.”