Retently DeepSeek

Automatically classify open-ended survey feedback

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

Try:

See all Retently + DeepSeek integrations or talk to a human

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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.

Retently Explore Retently →

Triggers
New form response

Fires when a form is submitted in Retently.

Survey completed

Fires when a respondent finishes a survey in Retently.

Response updated

Fires when an existing response is edited in Retently.

Actions
Create or update form

Creates or updates a form or survey in Retently.

Retrieve a response

Looks up a specific form response in Retently.

Add a respondent

Adds a respondent or contact to a form in Retently.

DeepSeek Explore DeepSeek →

Triggers
New completion generated

Fires when DeepSeek generates a response to a prompt.

Model run failed

Fires when a request to DeepSeek errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in DeepSeek finishes.

Actions
Generate a completion

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

Summarize text

Uses DeepSeek to summarize a block of text.

Classify or extract data

Uses DeepSeek to classify or extract structured data from text.

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

See all Retently + DeepSeek integrations →  ·  Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Automatically classify open-ended survey feedback” between Retently and DeepSeek?

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

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

Can generated AI insights in DeepSeek be saved back into Retently?

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

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