Automatically classify open-ended survey feedback

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

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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.

zenloop Explore zenloop →

Triggers

New form response

Fires when a form is submitted in zenloop.

Survey completed

Fires when a respondent finishes a survey in zenloop.

Response updated

Fires when an existing response is edited in zenloop.

Actions

Create or update form

Creates or updates a form or survey in zenloop.

Retrieve a response

Looks up a specific form response in zenloop.

Add a respondent

Adds a respondent or contact to a form in zenloop.

Vincario Explore Vincario →

Triggers

New completion generated

Fires when Vincario generates a response to a prompt.

Model run failed

Fires when a request to Vincario errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in Vincario finishes.

Actions

Generate a completion

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

Summarize text

Uses Vincario to summarize a block of text.

Classify or extract data

Uses Vincario to classify or extract structured data from text.

Summarize long form responses for quick review When a detailed form response is received in zenloop, use Vincario 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 Vincario, automatically create an updated survey in zenloop to gather fresh test data from respondents. See details

See all zenloop + Vincario integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Automatically classify open-ended survey feedback” between zenloop and Vincario?

Yes — describe it in the box above and Knit's Integrations Agent researches zenloop and Vincario'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 Vincario improve how we process survey data from zenloop?

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

Can generated AI insights in Vincario be saved back into zenloop?

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