AI for lead list enrichment QA checklist

Checklist

Raw source material is preserved before AI edits begin.The desired output format is written explicitly.Edge cases, missing values, and exceptions are listed.The first output is reviewed against real examples.The final prompt is stored for reuse.Sensitive or policy-heavy cases get manual review.Define the minimum required fields and allowed values.Provide examples of valid versus suspicious rows.Ask for a QA table with issues, confidence, and next action.Keep rejected rows separate from the approved import file.

Mistakes to avoid

trusting enrichment outputs without row-level review

Make the prompt more specific, keep the source data visible, and review the output before using it in a live workflow.

mixing rejected rows back into the import file

Make the prompt more specific, keep the source data visible, and review the output before using it in a live workflow.

not defining what counts as suspicious data

Make the prompt more specific, keep the source data visible, and review the output before using it in a live workflow.

changing original fields before QA is complete

Make the prompt more specific, keep the source data visible, and review the output before using it in a live workflow.

Related workflow pages

Use the AI for lead list enrichment QA prompt builderReview enriched lead spreadsheets, flag suspicious fields, and prepare cleaner prospecting lists before outreach or imports.Copy AI for lead list enrichment QA prompt templatesReview enriched lead spreadsheets, flag suspicious fields, and prepare cleaner prospecting lists before outreach or imports.Compare AI tools for AI for lead list enrichment QAReview enriched lead spreadsheets, flag suspicious fields, and prepare cleaner prospecting lists before outreach or imports.Follow the AI for lead list enrichment QA workflowReview enriched lead spreadsheets, flag suspicious fields, and prepare cleaner prospecting lists before outreach or imports.AI for lead list enrichment QAReview enriched lead spreadsheets, flag suspicious fields, and prepare cleaner prospecting lists before outreach or imports.Use the AI for CRM data cleanup prompt builderClean exported CRM records, normalize lifecycle fields, and prepare lead data for routing, reporting, and imports.