Community Kpi Dashboard

Measurement system tracking engagement, health, and business impact of community programs.

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

Community KPI Dashboard Skill

When to Use

Establishing community OKRs or executive scorecards.
Reporting on quarterly community performance.
Tying community metrics to pipeline, retention, or product adoption.

Framework

Health Metrics – member growth, activation rate, return visitors, content contributions.
Engagement Metrics – participation per program, thread depth, event attendance, response SLAs.
Advocacy Metrics – champions created, referrals, case studies, beta participation.
Business Impact – influenced pipeline, expansion rate, churn reduction, product usage deltas.
Trust & Safety – moderation actions, escalation time, sentiment shifts, NPS.

Templates

BI dashboard schema with recommended charts + filters.
KPI definition sheet detailing owners, data sources, refresh cadence.
Executive digest template translating stats into decisions/asks.

Tips

Blend qualitative highlights with quantitative charts for context.
Instrument campaigns/programs with UTM or CRM links to show attribution.
Pair with design-community-strategy to keep KPIs aligned to objectives.

More on the bench

Ticket Triage

Triage incoming support tickets by categorizing issues, assigning priority (P1-P4), and recommending routing. Use when a new ticket or customer issue comes in, when assessing severity, or when deciding which team should handle an issue.

customer-success+2

Onboarding Playbook

Design customer onboarding playbooks with milestone tracking, training plans, health checks, and success criteria

customer-success+1

Knowledge Management

Write and maintain knowledge base articles from resolved support issues. Use when a ticket has been resolved and the solution should be documented, when updating existing KB articles, or when creating how-to guides, troubleshooting docs, or FAQ entries.

customer-success+2

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.”