Review Data Analysis

Evaluate a data analysis pipeline for correctness, robustness, and reproducibility.

When to Use

• Reviewing a colleague's analysis notebook or script before publication
• Validating a machine learning pipeline before production deployment
• Auditing an analytical report for regulatory or business decision-making
• Assessing whether an analysis supports its stated conclusions
• Performing a second-analyst review in a regulated environment

Inputs

• Required: Analysis code (scripts, notebooks, or pipeline definitions)
• Required: Analysis output (results, tables, figures, model metrics)
• Optional: Raw data or data dictionary
• Optional: Analysis plan or protocol (pre-registered or ad-hoc)
• Optional: Target audience and decision context