Automatically classify open-ended survey feedback

When a user completes a survey in Award Force, send the feedback text to Token Metrics to automatically extract themes and classify respondent sentiments.

Try:

See all Award Force + Token Metrics integrations or talk to a human

Trusted by teams already building on Knit·

4.9/5 on G2·

Google for Startups Accelerator

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.

Award Force Explore Award Force →

Triggers

New form response

Fires when a form is submitted in Award Force.

Survey completed

Fires when a respondent finishes a survey in Award Force.

Response updated

Fires when an existing response is edited in Award Force.

Actions

Create or update form

Creates or updates a form or survey in Award Force.

Retrieve a response

Looks up a specific form response in Award Force.

Add a respondent

Adds a respondent or contact to a form in Award Force.

Token Metrics Explore Token Metrics →

Triggers

New completion generated

Fires when Token Metrics generates a response to a prompt.

Model run failed

Fires when a request to Token Metrics errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in Token Metrics finishes.

Actions

Generate a completion

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

Summarize text

Uses Token Metrics to summarize a block of text.

Classify or extract data

Uses Token Metrics to classify or extract structured data from text.

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

See all Award Force + Token Metrics integrations → · Browse the full workflow library →

Enterprise-grade security

Visit our Security Center Review the DPA

FAQ

Common questions

Can Knit build “Automatically classify open-ended survey feedback” between Award Force and Token Metrics?

Yes — describe it in the box above and Knit's Integrations Agent researches Award Force and Token Metrics'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 Token Metrics improve how we process survey data from Award Force?

When customers complete surveys in Award Force, Token Metrics can instantly summarize long responses, extract key themes, or categorize customer feedback without manual reading.

Can generated AI insights in Token Metrics be saved back into Award Force?

Yes, after Token Metrics analyzes or summarizes response text, the resulting completion can be saved directly back into Award Force to enrich the response record.