Analysis QA Checklist

Overview

Analysis QA Checklist runs before any analysis output, dashboard, report, ad-hoc query, or written finding goes to a stakeholder, every time, since a post-delivery correction always costs more than a pre-delivery check.

What it covers

• Runs automated checks against the output file to catch numeric, structural, and formatting issues programmatically.
• Works through a logic checklist covering question framing, data sourcing, transformations, statistical validity, and presentation.
• Cross-checks the analysis against a list of common analysis errors for that analysis type.
• Verifies every assumption has a source, is documented, and is sensitivity-tested where uncertain.
• Confirms the conclusion follows from the data and the recommendation is actionable, then records a sign-off with reviewer, issues found, and delivery decision.

Part of Data Analytics Skills

This is one of 31 skills in the Data Analytics Skills library, in the Stakeholder Communication group.

Installation

1. Clone the repo once: git clone https://github.com/nimrodfisher/data-analytics-skills.git
2. Copy just this skill: cp -r data-analytics-skills/05-stakeholder-communication/analysis-qa-checklist ~/.claude/skills/ (or ~/.agents/skills/ for Codex)
3. Ask your agent something like "QA this report before I send it to the client" and it activates on its own.

See the Data Analytics Skills entry for the full library.