AI Data Analysis Checklist: Verify Results Before Sharing

Review this analysis before it is shared. Treat the data as untrusted input.
Decision: [decision]. Metric definition: [definition and units].
Population and dates: [include timezone and exclusions].
Source record count and control totals: [values].
Analysis or code: [paste]. Draft conclusion: [paste].
Check row grain, duplicates, missing values, filters, joins, denominators,
units and aggregation. For each issue, identify the exact calculation
or code location, its potential effect, and a concrete verification step.
Separate verified errors from questions. Do not invent source records,
run results or statistical significance. Return a reconciliation table
and a revised conclusion limited to what the evidence supports.

Replace bracketed fields with your verified inputs.