The Scenario
You're an engineering manager. The product team just wrapped three days of customer feedback sessions and the output is a Google Sheet — 45 rows, each one a feature request or bug report with a title, description, team assignment, and priority level. The sprint kickoff is tomorrow morning and the engineers are expecting to find their issues in Linear.
The bad version:
- Open Linear, navigate to the right team, click "New Issue," paste the title from row 1, switch back to the sheet for the description, paste that, set priority from the dropdown, assign the team, save — then repeat for row 2.
- By row 15 you've misread a priority level and assigned "urgent" to something that was "medium." You don't notice until someone asks about it during standup.
- By row 40 you've spent two and a half hours doing data entry that adds no engineering value whatsoever.
You're supposed to be preparing for the planning session, not running a copy-paste marathon. The team lead is already asking when the backlog will be ready.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the data across your rows and columns and uses its built-in Linear integration to create issues in bulk — no ticket-by-ticket clicking.
Create a Linear issue for each row in this sheet using column A as the title, column B as the description, column C as the team name, and column D as the priority (urgent/high/medium/low)
What You Get
- One Linear issue created per row, with title, description, team, and priority populated from the exact columns you named.
- Issues land in the correct team's backlog — no manual team selection required.
- Rows with missing or unrecognized priority values surface as a warning in the sheet rather than failing silently.
- A summary of how many issues were created, and which rows (if any) had errors.
What If the Data Is Not Quite Ready
The priority column uses your internal shorthand
Your sheet says "P1," "P2," "P3" — not the words Linear expects.
Create a Linear issue for each row in this sheet using column A as the title, column B as the description, column C as the team name, and column D as the priority — treat P1 as urgent, P2 as high, P3 as medium, and P4 as low
Some rows are still under review
Not every row is ready to become a ticket. Column E has an approval status.
Bulk-create Linear issues for every row where column E says "approved" using the title in column A, description in column B, team in column C, and priority in column D
Issues need a label applied at creation
Your team uses labels to tag source — "customer-request," "internal," "bug."
Create a Linear issue for each row in this sheet using column A as the title, B as the description, C as the team, D as the priority, and apply the label in column E to each issue
Full cleanup and creation in one shot
The sheet has inconsistent priority values, some blank descriptions, and a mix of approved and pending rows. Do it all at once.
For every row where column E says "approved": normalize the priority in column D (P1=urgent, P2=high, P3=medium, P4=low), use "No description provided" if column B is blank, then create a Linear issue using column A as the title, column C as the team, and the normalized priority — write the created issue identifier back into column F
The pattern: one prompt handles the cleanup and the action together. You don't need to pre-process the sheet before running the import.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet with a list of tasks, requests, or backlog items — then ask it to push them into Linear as issues. When you're done, see how to pull the results back out in the export-issues-to-sheet guide, or check the hub for everything Linear can do from a sheet.
