How to Connect Formbricks to Google Sheets (4 Methods Compared)

The Problem With Getting Sheet Data In and Out of Formbricks

You have a Google Sheet full of data — customer emails, plan tiers, NPS scores, survey response exports — and Formbricks on the other side holding the actual survey infrastructure. Getting data from one to the other usually means navigating the Formbricks UI, downloading a CSV, massaging the column headers, and pasting it into the sheet. Or going the other direction: copying a contact list from the sheet, importing it into Formbricks through the UI, and then realizing the attribute names don't match.

Formbricks is good at building, distributing, and analyzing surveys across your product and customer base. But the data movement between Formbricks and a spreadsheet is entirely manual by default. The standard flow is: export a CSV from Formbricks, open it in Sheets, reformat, rinse, and repeat the next time the data changes.

Below are the four common ways teams handle this. Only the last one scales.

Method 1: Manual Copy-Paste

The most common path. You log into Formbricks, open the survey, download responses as CSV, open the file, delete the columns you don't need, paste the rest into your Google Sheet, and fix the date format because Formbricks exports timestamps in UTC and your Sheet is set to a different timezone.

That's for one survey, one time. The moment you're doing this weekly — because the product team wants a rolling NPS dashboard, or because the CS team wants to know which contacts haven't responded — you're doing the same sequence over and over. The formatting steps don't get faster. The timestamp issue is always there. By the third week, whoever owns this task has quietly started tracking it as a full hour of their Monday morning.

Method 2: Zapier or Make

Both platforms have Formbricks connector options. You can wire up a trigger when a new survey response is submitted, map the fields to a Google Sheet row, and have responses land automatically.

Before you start building: do you know what a webhook trigger is? How to map a nested JSON field to a flat spreadsheet column? What to do when Formbricks sends an array and Zapier's column mapping expects a string? If those concepts feel unfamiliar, this approach will cost you several frustrating hours before a single row lands in your sheet. You're better off skipping to Method 3 or 4.

If you are comfortable with automation tooling, setup is manageable. You pick the Formbricks trigger — new response, new contact, updated attribute — map each field to the target column, handle the data types, and test a few responses through.

But a trigger-per-response automation is not the same as a bulk pull.

Each new response fires one Zap. Your task log fills with individual entries. When something breaks on row 40, the others complete silently and you debug through a list of 200 task runs.

You probably just need to dump 1,400 NPS responses into a Sheet for a QBR slide deck. You probably have no idea why that requires an automation that runs once per response, costs a certain number of Zap tasks, and still needs to be manually backfilled for the responses that came in before the Zap existed. So you ask whoever on your team owns Zapier. And now you're waiting for a Slack reply while the QBR prep continues without the data.

Beyond that, the moment you want to filter responses by score threshold, join them against a contact attribute, or aggregate across multiple surveys in one sheet — you've gone past what a row-by-row trigger can do.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best option for repeatable Google Sheets ↔ Formbricks workflows was a category of add-ons that let you configure which survey to pull from, which columns to write to, and save the config for re-use. You mapped the Formbricks fields to your column headers, saved the template, and ran it.

That was meaningfully better than downloading a CSV each time. The column layout stayed consistent, the team could re-run it, the data wasn't reformatted by hand.

But the template design was still yours to manage. The field mapping was yours. The schedule logic was yours. The conditional rules about which responses to include — only finished ones, only those above a score threshold, only those from a specific date range — were all on you to build. The tool moved the data. The thinking stayed with the operator. And any time you renamed a column in your sheet or Formbricks changed a field name in their export, the template broke until someone went back in and fixed the mapping.

This is the previous generation. It was a real improvement. It also asked a lot of you.

The Easy Way: Using SheetXAI in Google Sheets

There is a different way entirely. SheetXAI is an AI agent that lives inside your Google Sheet. It reads the sheet, understands what you're looking at, and through its built-in Formbricks integration it can push to or pull from Formbricks for you. No template to configure, no automation to wire up, no CSV to reformat. You describe what you want.

Example 1: Pull all responses for a specific NPS survey

Fetch all responses for the Formbricks survey ID in cell A1 and populate this sheet with respondent email, NPS score, comment text, and submission date — one response per row

SheetXAI reads the survey ID from A1, calls the Formbricks API, and writes each response as a row with the four fields mapped to the next available columns.

Example 2: Aggregate response counts across multiple surveys

For each survey ID in column A, pull all Formbricks responses, count total responses, calculate average score, and write the results into columns B, C, and D

Instead of running a separate pull per survey, you ask for the aggregation in one shot. SheetXAI handles the loop and the math inline — no intermediate sheet needed.

Try It

Get the 7-day free trial of SheetXAI and open any Google Sheet with a Formbricks survey ID or contact list, then ask it to do one of the tasks above. The Formbricks integration is included in every SheetXAI plan.