Test And Report

Creates a copy experimentation plan with reporting template and action items.

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

Command: test-and-report

Inputs

channels – channels under test.
kpis – comma-separated metrics (open, CTR, CVR, CPL, pipeline).
window – reporting cadence (7d, 14d, 30d).
variants – optional list of existing tests.
segments – optional persona/region tiers.

Workflow

Test Inventory – list active/pending copy tests per channel.
Hypothesis Framework – define hypothesis, expected impact, measurement plan.
Sample Size & Duration – estimate recipient volume/time to significance.
Reporting Template – specify dashboards, data sources, significance tests.
Action Plan – document recommended actions based on results.

Outputs

Experiment tracker table (test, hypothesis, status, KPI, owner).
Reporting template (charts/tables, significance calculations, insights).
Action item list with owners and deadlines.

Agent/Skill Invocations

copy-strategist – prioritizes experiments.
offer-testing skill – provides test design and statistical guardrails.
voice-editor – confirms brand implications of winning variants.

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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.”