Community Sentiment Dashboard

Reporting template for tracking sentiment, risks, and advocacy signals across social + community channels.

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

Community Sentiment Dashboard Skill

When to Use

Weekly/monthly social listening readouts.
Real-time monitoring during launches, incidents, or crisis scenarios.
Executive updates that require quantified sentiment + qualitative insights.

Framework

Signal Sources – social listening feeds, community platforms, support tags, surveys.
Sentiment Stack – volume, sentiment %, topics, influencer tiers, escalation status.
Risk/Opportunity Board – flagged issues, severity, owners, response progress.
Advocacy Spotlight – top advocates, UGC, partnership opportunities.
Action Register – follow-ups routed to comms, product, support, leadership.

Templates

Dashboard slide layout (KPI tiles + trend graphs + highlights/lowlights).
Escalation tracker with severity, owner, due date, next update.
Advocate tracker with contact info, potential activation ideas.

Tips

Set alert thresholds per channel to avoid noise fatigue.
Pair qualitative snippets with data visuals for executive context.
Use with monitor-community-sentiment for automated packet generation.

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Sharebench · Public bench

Connect via MCP.

Add the public bench to any AI tool. Your agents read every artifact you see — no signup needed.

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.”