Automatically classify open-ended survey feedback

When a user completes a survey in SatisMeter, send the feedback text to Exa AI to automatically extract themes and classify respondent sentiments.

Try:

See all SatisMeter + Exa AI integrations or talk to a human

Trusted by teams already building on Knit·

4.9/5 on G2·

Google for Startups Accelerator

How Knit builds this workflow

The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.

SatisMeter Explore SatisMeter →

Triggers

New form response

Fires when a form is submitted in SatisMeter.

Survey completed

Fires when a respondent finishes a survey in SatisMeter.

Response updated

Fires when an existing response is edited in SatisMeter.

Actions

Create or update form

Creates or updates a form or survey in SatisMeter.

Retrieve a response

Looks up a specific form response in SatisMeter.

Add a respondent

Adds a respondent or contact to a form in SatisMeter.

Exa AI Explore Exa AI →

Triggers

New completion generated

Fires when Exa AI generates a response to a prompt.

Model run failed

Fires when a request to Exa AI errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in Exa AI finishes.

Actions

Generate a completion

Sends a prompt to Exa AI and returns the model's response.

Summarize text

Uses Exa AI to summarize a block of text.

Classify or extract data

Uses Exa AI to classify or extract structured data from text.

Summarize long form responses for quick review When a detailed form response is received in SatisMeter, use Exa AI to generate a concise summary so your team can quickly digest key feedback. See details

Generate custom follow-up forms when model fine-tuning completes When a fine-tune job finishes in Exa AI, automatically create an updated survey in SatisMeter to gather fresh test data from respondents. See details

See all SatisMeter + Exa AI integrations → · Browse the full workflow library →

Enterprise-grade security

Visit our Security Center Review the DPA

FAQ

Common questions

Can Knit build “Automatically classify open-ended survey feedback” between SatisMeter and Exa AI?

Yes — describe it in the box above and Knit's Integrations Agent researches SatisMeter and Exa AI's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.

How long does it take to build?

Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.

How does Exa AI improve how we process survey data from SatisMeter?

When customers complete surveys in SatisMeter, Exa AI can instantly summarize long responses, extract key themes, or categorize customer feedback without manual reading.

Can generated AI insights in Exa AI be saved back into SatisMeter?

Yes, after Exa AI analyzes or summarizes response text, the resulting completion can be saved directly back into SatisMeter to enrich the response record.