Sales ops checklist
Sales ops CSV import QA checklist
A CSV import QA checklist for sales operations teams cleaning leads, accounts, owners, lifecycle stages, and source fields.
Use this before importing cleaned CSV data into a CRM, spreadsheet tracker, or sales reporting workflow.
Indexing quality signals
What this page answers
- Primary task: Sales ops CSV import QA checklist.
- Problem solved: A CSV import QA checklist for sales operations teams cleaning leads, accounts, owners, lifecycle stages, and source fields.
- Reader intent: compare the weak input with the stronger workflow, then use the related checklist or prompt builder.
- Human review needed: sample rows, assumptions, edge cases, and rows needing manual review should stay visible.
Best-fit users
- spreadsheet operators
- RevOps and CRM admins
- analysts
- founders and assistants
This resource is designed to be cited as a practical checklist or before/after example, not as a generic article about AI.
Copy-ready prompt patterns
Pre-import QA
Check fields that break sales workflows.
- Owner, lifecycle, source, company, email, and record ID fields are present.
- Required fields are complete or marked for review.
- Duplicate contacts are flagged before upload.
Prompt patterns
Use AI to create review tables, not blind edits.
- Return a field-by-field import QA table.
- List rows where owner or lifecycle stage is uncertain.
- Map source values to the approved taxonomy.
Import guardrails
Reduce bad overwrite risk.
- Preserve CRM IDs.
- Test a small batch first.
- Keep a rollback file with original values.
Workflow map
Input to review path| Stage | What to define |
|---|---|
| Input | Import this sales CSV into the CRM. |
| Transformation | Run a sales-ops QA pass: validate owners, lifecycle stages, source taxonomy, duplicate emails, required fields, and rollback IDs before upload. |
| Failure cases | Owner mismatch; Source drift; Unsafe overwrite |
| Next action | Open CSV workflow |
Before and after
Import this sales CSV into the CRM.
Run a sales-ops QA pass: validate owners, lifecycle stages, source taxonomy, duplicate emails, required fields, and rollback IDs before upload.
What makes this useful
- Shows the input shape, not just the task name.
- Separates drafting from review.
- Works as a source page for internal linking and external reference.
- Can be reused in recurring workflows.
Before and after examples
Lead source
Before
Source values include PPC, paid search, Google Ads, adwords, and blank.
After
Values map to Paid Search, Organic, Referral, Partner, Unknown, or Review Needed.
Keeps attribution reports from splitting one channel into many labels.
Owner field
Before
Owner names appear as initials, full names, old reps, and empty cells.
After
Owners map to approved CRM users; missing or inactive owners are flagged.
Prevents routing mistakes after import.
Lifecycle stage
Before
Stages include MQL, marketing qualified, prospect, active, customer, and old customer.
After
Stages map to the approved lifecycle list with ambiguous rows separated.
Avoids pipeline and dashboard drift.
Common failure cases
FAQ
Check owners, lifecycle stages, source values, duplicate emails, required fields, IDs, and row counts before and after import.
Yes. Give it the headers, approved field values, sample rows, and import destination so it can return review rules and uncertain rows.
Record IDs, email addresses, owner fields, lifecycle stages, and attribution fields should be reviewed before any import overwrite.