The Scenario
Your team did a systematic review of 60 LeadIQ contact records last week. The data quality analyst went through each profile, flagged invalid emails, identified wrong job titles, and noted corrected values in a review workbook — column A has the LeadIQ person ID, column B describes the issue, column C has the corrected value.
The workbook exists. The corrections exist. The problem is that submitting them back to LeadIQ means opening each profile individually, clicking the feedback option, describing the issue, and entering the corrected value. Sixty times.
Whoever built the review process did not build the submission process. That job fell to you.
The bad version:
- Open row 2 in the review worksheet, copy the person ID, open LeadIQ, navigate to the contact record, find the feedback option, paste in the invalid reason from column B, enter the corrected value from column C, submit.
- Move to row 3. Realize halfway through that the person ID in row 18 doesn't resolve in LeadIQ and spend four minutes trying to figure out why before deciding to skip it.
- Get through thirty rows before a meeting interrupts you. Come back the next day and try to remember where you left off.
Sixty corrections is an afternoon. If this is a recurring quality workflow — and it should be — doing it by hand every time means the corrections never actually happen at scale.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent built into your Excel workbook. It reads the review worksheet, understands the structure, and through its LeadIQ integration it can submit feedback for each row in one pass — no profile navigation, no form clicking.
Submit LeadIQ profile feedback for all rows in my Excel table — column A has the person ID, column B has the invalid reason, column C has the corrected value
What You Get
- Feedback submissions are sent to LeadIQ for each row where column A has a person ID and column B has a described issue.
- Rows where the submission succeeds are noted in column D with a confirmation status.
- Rows where LeadIQ returns an error — invalid ID, record not found — are flagged in column D so you can investigate them separately.
- The original review data in columns A through C stays untouched.
What If the Data Is Not Quite Ready
The issue descriptions in column B use inconsistent language
Normalize the issue descriptions in column B to one of three standard labels: "invalid email," "wrong title," or "outdated employer." Then for each row, submit a data correction to LeadIQ using the normalized label from column B and the corrected value from column C. Write submission status into column D.
Some rows have person IDs and some have LinkedIn URLs — you need to handle both
For rows where column A contains a LeadIQ person ID, submit feedback directly. For rows where column A contains a LinkedIn URL instead, first look up the corresponding person ID in LeadIQ, then submit the correction from columns B and C. Note which rows required a LinkedIn lookup in column E.
You want to batch submissions by issue type to spot patterns before committing
Group the rows in this worksheet by issue type (column B). Show me a count of each issue type and which rows fall into each group. Then submit corrections for all rows where the issue is "invalid email," and pause before submitting the others so I can review.
Normalize issue labels, resolve any missing person IDs, submit all corrections, and log results
Normalize the issue descriptions in column B to "invalid email," "wrong title," or "outdated employer." For rows with a LinkedIn URL in column A instead of a person ID, look up the LeadIQ person ID first. Then submit data correction feedback to LeadIQ for every row using the corrected value in column C. Write submission status into column D and a timestamp into column E. Flag any failed submissions in column F with the error reason.
One prompt handles the normalization, the ID resolution, the submissions, and the audit log — so the quality workflow has a paper trail.
Try It
Get the 7-day free trial of SheetXAI and open any Excel workbook with a LeadIQ data review — person IDs, issue descriptions, and corrected values — then ask it to submit the corrections in bulk. To enrich contact records rather than correct them, see backfilling job titles and current employers, or visit the LeadIQ overview for the full picture.