Example
Audit a User Import CSV Before Upload
A CSV review workflow for finding blank headers, accidental duplicate rows, and risky fields before a user import.
The situation
An operations team receives a user import file from another system. The destination tool requires email, role, and status columns, but the export also contains a blank column, duplicate rows, and spaces around some role values.
User import CSV sample
email, role, status, , created_at
[email protected], admin , active, , 2026-07-01
[email protected], editor, active, , 2026-07-02
[email protected], editor, active, , 2026-07-02
[email protected], viewer , invited, , 2026-07-03Workflow
- Open the file in CSV Cleaner and verify that email, role, status, and created_at are the only meaningful headers.
- Trim whitespace so role values match the destination system's allowed labels.
- Remove the empty column because it has no header or data.
- Review the repeated [email protected] row before enabling duplicate removal.
- Download the cleaned CSV and import it into a staging or preview mode first.
Cleaned import CSV
email,role,status,created_at
[email protected],admin,active,2026-07-01
[email protected],editor,active,2026-07-02
[email protected],viewer,invited,2026-07-03Review checks
- The required import fields are still present after cleanup.
- Role labels no longer include leading or trailing spaces.
- Only a complete duplicate row was removed; no unique user was deleted.
- The cleaned file should still be validated by the destination import preview.