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