Automatically classify open-ended survey feedback

When a user completes a survey in HulkApps Form Builder, send the feedback text to Deepgram to automatically extract themes and classify respondent sentiments.

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See all HulkApps Form Builder + Deepgram 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.

HulkApps Form Builder Explore HulkApps Form Builder →

Triggers

New form response

Fires when a form is submitted in HulkApps Form Builder.

Survey completed

Fires when a respondent finishes a survey in HulkApps Form Builder.

Response updated

Fires when an existing response is edited in HulkApps Form Builder.

Actions

Create or update form

Creates or updates a form or survey in HulkApps Form Builder.

Retrieve a response

Looks up a specific form response in HulkApps Form Builder.

Add a respondent

Adds a respondent or contact to a form in HulkApps Form Builder.

Deepgram Explore Deepgram →

Triggers

New completion generated

Fires when Deepgram generates a response to a prompt.

Model run failed

Fires when a request to Deepgram errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in Deepgram finishes.

Actions

Generate a completion

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

Summarize text

Uses Deepgram to summarize a block of text.

Classify or extract data

Uses Deepgram to classify or extract structured data from text.

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

See all HulkApps Form Builder + Deepgram integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Automatically classify open-ended survey feedback” between HulkApps Form Builder and Deepgram?

Yes — describe it in the box above and Knit's Integrations Agent researches HulkApps Form Builder and Deepgram'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 Deepgram improve how we process survey data from HulkApps Form Builder?

When customers complete surveys in HulkApps Form Builder, Deepgram can instantly summarize long responses, extract key themes, or categorize customer feedback without manual reading.

Can generated AI insights in Deepgram be saved back into HulkApps Form Builder?

Yes, after Deepgram analyzes or summarizes response text, the resulting completion can be saved directly back into HulkApps Form Builder to enrich the response record.