Doc Requirements Matrix

Framework for capturing documentation requirements, scoring priority, and assigning owners.

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

Doc Requirements Matrix Skill

When to Use

Intake from product, engineering, support, or compliance teams.
Prioritizing doc requests against limited capacity.
Tracking readiness requirements for launches or audits.

Framework

Request Intake – requester, audience, format, deadline, status, linked release.
Scoring Criteria – impact, urgency, compliance, audience reach, reuse potential.
Dependencies – SMEs, assets, tooling, localization, approvals.
Status Tracking – backlog → in progress → review → published → refresh queued.
Reporting – dashboards for open requests, SLA breaches, and effort allocation.

Templates

Requirement intake form (Notion/Sheet) with scoring formula.
Priority board with filters for audience, format, product area.
Weekly review agenda highlighting top priorities + blockers.

Tips

Align scoring weights with leadership priorities each quarter.
Attach spec links, mockups, and SME contacts to reduce back-and-forth.
Pair with plan-documentation-roadmap to auto-populate backlog sections.

More on the bench

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.

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Business Case Builder

Build business cases with cost-benefit analysis, ROI calculations, risk assessment, implementation timeline, and stakeholder analysis

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Interview Kit Builder

TRIGGER THIS when preparing interviews, planning hiring processes, creating interview questions, building evaluation frameworks, developing interviewer guides, or standardizing interview approaches. Builds complete interview kits with competency-based questions, scorecards, rubrics, interviewer training, and structured evaluation protocols.

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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.”