validate-datalisted

# /validate-data - Validate Analysis Before Sharing > If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../../CONNECTORS.md). Review an analysis for accuracy, methodology, and potential biases before sharing with stakeholders. Generates a confidence assessment and improvement suggestions. ## Usage ``` /validate-data <analysis to review> ``` The analysis can be: - A document or report in the conversation - A file (markdown, notebook, spreadsheet) - SQL queries and their results - Charts and their underlying data - A description of methodology and findings ## Workflow ### 1. Review Methodology and Assumptions Examine: - **Question framing**: Is the analysis answering the right question? Could the question be interpreted differently? - **Data selection**: Are the right tables/datasets being used? Is the time range appropriate? - **Population definition**: Is the analysis population correctly defined? Are there unintended exclusions? - **Metric definitions**: Are metrics defined clearly and consistently? Do they match how stakeholders understand them? - **Baseline and comparison**: Is the comparison fair? Are time periods, cohort sizes, and contexts comparable? ### 2. Run the Pre-Delivery QA Checklist Work through the checklist below — data quality, calculation, reasonableness, and presentation checks. ### 3. Check for Common Analytical Pitfalls Systematically review against the detailed pitfall catalog below (join exp