Formbricks Experience Suite
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Ask & Unify

All your feedback, in one place you own.

Survey answers, support tickets, call notes and workshop notes become one kind of record, in one dataset, in your own database. Every team works from the same picture of the customer, and every number holds up because it's counted the same way.

Pick a time right in the form.

One data model

One record for every kind of feedback.

Every answer, ticket and note becomes a feedback record with the same fields: where it came from, the question, the value, the language and when it was collected. NPS, CSAT, CES, ratings, choices and free text sit side by side, so channels finally compare.

Survey records bring their context along: source, device, country and any data you pass, like an order ID. Your CX team can join feedback to orders and revenue, and IT gets one flat, typed table with an open, documented schema.

See what AI adds to every record

Sources

Bring it in the way it already lives.

Connect what you have today without rebuilding it. Every source writes into the same schema, and you can pause, edit or remove a source at any time while its records stay.

  • Formbricks surveys

    Pick a survey and the questions you want. Each question maps to the right field type on its own, new responses flow in as they arrive, and past responses can come along.
  • CSV import

    Upload an export from your help desk, your call tool or a survey platform you're leaving. Formbricks suggests how each column maps, with a confidence for every match.
  • API

    Send records from your own systems, server to server, as part of the pipelines your engineers already run.
  • AI agents over MCP

    Claude, ChatGPT, Codex or your own agents add and read records over MCP. Each signs in with your own login and can never do more than you can.
  • Reviews and social posts

    Public Sentiment Data delivers reviews and public mentions as records, right next to your survey answers.
  • Added by hand

    Add a single record for the conversation that happened at a trade show or on a customer visit, so it counts like everything else.

Clean imports

Import again. Count once.

Every record carries a submission ID, such as a ticket or response ID. Upload the same file again and existing records are updated instead of doubled.

Your numbers stay right without anyone cleaning up after an import.

Datasets

Datasets that match how you're organized.

Group feedback by product line, region or audience, such as customers and employees. Share a dataset with several workspaces, and the web, app and support teams for one market all report on the same numbers.

Each workspace reads one dataset, and only Owners and Managers decide which. When a program ends, archive its dataset and the records stay, out of the way.

Formbricks Hub

Open to every tool you already use.

Records live in Formbricks Hub, the open source (Apache 2.0) feedback data layer, on PostgreSQL in your own infrastructure. It's one table with one row per answer, built for plain SQL.

Connect Power BI or Superset straight to the database, bring records into your data lake, and let AI agents search them by meaning over MCP. Self-hosted, it all stays inside your network, with no new sub-processor to review.

More about Formbricks Hub

Customer stories

Trusted by teams that own their data

See how public sector, research and product teams run feedback on Formbricks.

Frequently asked questions

Which license includes it?
Unify Feedback is part of the Experience Suite license, with unlimited seats. Try it on your own infrastructure with a 15-day trial license.
Can we clean up records after an import?
Yes. Edit a value inline, relabel a choice or delete a record.
Can we remove all feedback in a dataset at once?
Yes. Owners and Managers can empty a dataset in one step. Its records, AI enrichment and topics are removed for every workspace that shares it. The dataset and its sources stay, so new feedback keeps arriving.

See all your feedback in one place.

Tell us where your feedback lives today: survey tools, help desks, call notes. We'll show you how it comes together in one dataset.