Analyze Enrollment Funnel

Audits inquiry → enrollment funnel to surface channel gaps, yield risks, and experiments.

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

Command: analyze-enrollment-funnel

Inputs

program – program, cohort, or product line.
audience – k12 | higher-ed | workforce | corporate | mixed (optional custom string).
window – analysis lookback (30d | 60d | 90d | custom).
detail – summary | standard | full.
data-links – optional CSV/URL for funnel metrics or CRM exports.

Workflow

Data Aggregation – pull inquiries, apps started, apps completed, admits, enrollments.
Segmentation – slice by channel, geography, persona, or program format.
Benchmarking – compare conversion rates vs internal targets and industry references.
Root Cause + Experiment Map – flag drop-off points, capacity issues, and prioritized tests.
Executive Readout – package insights, recommendations, and success metrics.

Outputs

Funnel diagnostic report with charts, conversion deltas, and forecast impact.
Experiment backlog prioritized by velocity x impact.
Data QA + instrumentation checklist for RevOps.

Agent/Skill Invocations

enrollment-growth-strategist – leads analysis and recommendations.
student-success-program-manager – highlights downstream retention implications.
enrollment-persona-playbook skill – ensures persona/SKU segmentation structure.
student-success-scorecard skill – aligns KPIs to lifecycle outcomes.

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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.”