MARKET RESEARCH

Tag inbound survey free-text into theme clusters with a zero-shot classifier

When a new survey response lands, a HuggingFace zero-shot model classifies the open-text comment against your defined theme labels and writes the top theme plus confidence back…

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSurvey tool posts new responseHTTP webhook
  • LogicDrop empty or near-empty comments
  • ActionZero-shot classify comment against theme labelsHugging FaceHugging Face
  • LogicPick top label, flag low-confidence for review
  • OutputUpsert verbatim, theme, and score to AirtableAirtableAirtable

What it does

Every time a respondent submits an open-text survey answer, this workflow runs the comment through a HuggingFace zero-shot classification model against a fixed list of theme labels (for example: pricing, onboarding, reliability, support, feature gaps). It records the winning theme and its confidence score in Airtable so the raw verbatim becomes a tagged, sortable row.

When to use it

Use it when survey volume has outgrown manual tagging and you need consistent theme coding for a quarterly insights review. Ideal for NPS follow-ups, post-purchase surveys, and churn exit forms where the free-text field is where the real signal lives.

How it works

  1. 1A webhook fires when your survey tool posts a new response.
  2. 2A filter drops empty or near-empty comments so you don't classify noise.
  3. 3The comment is sent to a HuggingFace zero-shot classifier with your candidate theme labels.
  4. 4Logic picks the highest-scoring label and flags low-confidence results for human review.
  5. 5The verbatim, assigned theme, and confidence score are upserted into an Airtable base.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect Hugging FaceModels, datasets, spaces — the open-source hub.
  3. 3
    Connect AirtableBases, tables, views, automations.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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