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DataScope · Google Sheets Guide

Bulk Create DataScope Locations From a Google Sheet Roster

2026-05-14
5 min read

The Scenario

It's Sunday evening. Monday morning your regional operations team expects 60 new store locations to be live in DataScope, each assigned the weekly audit form and each linked to the right store manager. You have the full roster in a Google Sheet — store name, address, GPS coordinates, manager name, user ID — added by whoever set up the expansion rollout. Nobody told you this was your job until Friday at 4 PM when the project manager forwarded you an email chain.

The bad version:

  • Log into DataScope's web UI, find the location creation screen, realize it doesn't have a bulk import option, and start entering store names one at a time.
  • Get through 15 locations before making a typo in the address field that won't be caught until a technician shows up at the wrong building next week.
  • Finish creating all 60 locations, then discover task assignment is a separate flow — you have to go back through each location, find the store manager's user account, assign the audit form, set the deadline. You're on location 22 when it's midnight.

The expansion launches Monday. There is no version of this that goes well if you're doing it by hand.

The Easy Way: One Prompt in SheetXAI

SheetXAI is an AI agent that lives inside your Google Sheet. It reads the sheet, talks to DataScope through its built-in integration, and handles bulk operations across all 60 rows — not one at a time, not with a separate tool, just one prompt.

For each row in my Stores sheet, create a location in DataScope using the store name in column A, address in column B, and GPS coordinates in columns C and D, then write the new location ID into column E.

What You Get

  • Each of the 60 locations created in DataScope with the name, address, and coordinates from the sheet.
  • The DataScope-assigned location ID written back into column E of the same row.
  • Any row that failed (duplicate name, invalid coordinates) logged with an error reason in column F instead of silently skipped.

What If the Data Is Not Quite Ready

Some rows are missing GPS coordinates

For each row in my Stores sheet, create a DataScope location using column A for name and column B for address — if columns C or D are empty, create the location without coordinates and write 'NO GPS' into column E rather than the location ID, so I can follow up on those rows separately.

You also need to assign the audit form to each location immediately after creation

For each row in my Stores sheet where column E is empty, create a DataScope location using columns A through D, write the new ID into column E, then create a task assignment for that location assigning the form ID from cell B1 to the user in column F with the deadline from column G.

Some locations already exist in DataScope and should be skipped

For each row in my Stores sheet, check DataScope to see if a location with the same name already exists — if it does, write the existing ID into column E and mark column F 'ALREADY EXISTS'; if it doesn't, create it and write the new ID into column E.

The full setup: create locations, assign forms, confirm everything in one pass

For each row in my Stores sheet, create the location in DataScope using columns A through D, write the returned ID into column E, then assign the audit form from my Config sheet cell B1 to the user in column F at that location with Monday's date as the deadline — mark column G 'DONE' if both steps succeed, or log the specific error if either fails.

The cleanup and the setup happen in one conversation — no need to run three separate processes.

Try It

Get the 7-day free trial of SheetXAI and open the Google Sheet where your store roster lives, then ask it to create all the DataScope locations and write the IDs back in one pass. Also worth reading: Pull All Field Form Submissions Into a Google Sheet and the full DataScope integration guide.

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