Automatically classify open-ended survey feedback
When a user completes a survey in Macorva, send the feedback text to Clerk to automatically extract themes and classify respondent sentiments.
Google for Startups AcceleratorHow 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.
Macorva Explore Macorva →
TriggersFires when a form is submitted in Macorva.
Fires when a respondent finishes a survey in Macorva.
Fires when an existing response is edited in Macorva.
Creates or updates a form or survey in Macorva.
Looks up a specific form response in Macorva.
Adds a respondent or contact to a form in Macorva.
Clerk Explore Clerk →
TriggersFires when Clerk generates a response to a prompt.
Fires when a request to Clerk errors or times out.
Fires when a fine-tuning job in Clerk finishes.
Sends a prompt to Clerk and returns the model's response.
Uses Clerk to summarize a block of text.
Uses Clerk to classify or extract structured data from text.
More Macorva + Clerk workflows
See all Macorva + Clerk integrations → · Browse the full workflow library →
Enterprise-grade security
Common questions
Can Knit build “Automatically classify open-ended survey feedback” between Macorva and Clerk?
Yes — describe it in the box above and Knit's Integrations Agent researches Macorva and Clerk'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 Clerk improve how we process survey data from Macorva?
When customers complete surveys in Macorva, Clerk can instantly summarize long responses, extract key themes, or categorize customer feedback without manual reading.
Can generated AI insights in Clerk be saved back into Macorva?
Yes, after Clerk analyzes or summarizes response text, the resulting completion can be saved directly back into Macorva to enrich the response record.