The Scenario
It's a Tuesday afternoon and the CRM admin has just asked you to send over every lead from the Q2 intake form before end of day. You pull up the Feathery dashboard. There are 500 submissions. The export button gives you a CSV — which promptly lands in your Downloads folder with column names that don't match your CRM import template.
The bad version:
- Download the CSV, open it in Excel, discover that Feathery's field keys ("q_company_name_1a") don't map to your headers ("Company"), and start renaming columns one by one.
- Realize the conditional "Which product are you interested in?" field is blank for any user who skipped it, and those rows are missing their column entirely — you're now debugging jagged data.
- Paste into the master workbook, discover your paste offset everything by a row because row 1 had headers and row 2 didn't, and redo the whole thing.
That's forty minutes of work that produces a workbook you're still not totally sure is right. And the CRM admin needs it in twenty.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads the workbook, understands the layout, and talks to Feathery directly — so instead of exporting CSVs and mapping columns by hand, you describe what you want and it does the retrieval.
List all users who submitted my Feathery "Lead Capture Q2" form and fetch all field values for each, then write them as rows starting at A2 in my Excel sheet with one column per field — user ID in A, email in B, company name in C, and the "How did you hear about us?" response in D.
What You Get
- Row 2 onward: one row per submission, in arrival order.
- Column A: Feathery user ID. Column B: email. Column C: company name. Column D: the open-text response, or blank if the user skipped that field.
- Conditional fields that didn't fire come back as empty cells — the row doesn't collapse.
- Column headers written into row 1 on the first run.
What If the Data Is Not Quite Ready
The field names in the form changed mid-campaign
Some of your early submissions used an older field key and the later ones use a renamed version, so column D is half-populated.
Pull all submissions from my Feathery "Lead Capture Q2" form. Where the "How did you hear about us?" field key is either "referral_source" or "hear_about_us", treat both as the same column and write the value into column D.
You only want submissions from the last 30 days
The full 500-submission export is too noisy — the CRM team only wants recent leads.
Fetch all submissions from my Feathery "Lead Capture Q2" form where the submission date is within the last 30 days, and write user ID, email, company, and submission date into columns A through D starting at row 2.
The form has multiple steps and you need fields from step 2 only
The form captures contact details in step 1 and product interest in step 2. Your workbook already has step 1 data — you only need to fill in the step 2 fields.
For every submission in my Feathery "Lead Capture Q2" form, fetch only the step 2 fields — product interest and budget range — and match them to the existing rows in my worksheet by user ID in column A, writing product interest into column E and budget range into column F.
Start from scratch: clean, normalize, and export in one shot
The master worksheet is a mess from previous manual pastes. You want to wipe it and rebuild from the API.
Clear all data from rows 2 onward in my Excel sheet. Then pull every submission from my Feathery "Lead Capture Q2" form, normalize the company name field to title case, remove any rows where email is blank, and write the cleaned results with headers into row 1.
One prompt handles the cleanup and the export together — no intermediate steps.
Try It
Get the 7-day free trial of SheetXAI and open an Excel workbook next to your Feathery lead capture form, then ask it to pull submissions into columns. You can also see how this connects to bulk user creation or the full Feathery integration overview.