validate-data

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md . Review an analysis for accuracy, methodology, and potential biases before sharing with stakeholders. Generates a confidence assessment and improvement suggestions. The analysis can be: Examine: Work through the checklist below — data quality, calculation, reasonableness, and presentation checks. Systematically review against the detailed pitfall catalog below (join explosion, survivorship bias, incomplete period comparison, denominator shifting, average of averages, timezone mismatches, selection bias). Where possible, spot-check: Apply the result sanity-checking techniques below (magnitude checks, cross-validation, red-flag detection). If the analysis includes charts: Review whether: Provide specific, actionable suggestions: Rate the analysis on a 3-level scale: Ready to share -- Analysis is methodologically sound, calculations verified, caveats noted. Minor suggestions for improvement but nothing blocking.