MARKET RESEARCH

Batch backfill theme tags across a survey export from Drive

On demand, this workflow reads a survey export from Google Drive, zero-shot classifies every comment into theme clusters, and writes the tagged rows into Airtable.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggermanual
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerManual run on a selected export file
  • ActionDownload and parse survey export from DriveGoogle DriveGoogle Drive
  • LogicIterate rows, skip empty comments
  • ActionZero-shot classify each comment into a themeHugging FaceHugging Face
  • OutputBatch-write tagged rows to AirtableAirtableAirtable

What it does

Given a survey export file dropped in Google Drive, this workflow parses every row, sends each open-text comment through a HuggingFace zero-shot classifier against your theme labels, and loads the tagged results into Airtable. It is the bulk counterpart to the per-response tagging flows.

When to use it

Use it when you adopt a new theme taxonomy and need every past response re-coded, or when you inherit a backlog of untagged exports before a research push. One run brings historical data up to the same structure as your live pipeline.

How it works

  1. 1A manual trigger starts the run with the target file selected.
  2. 2The workflow downloads and parses the survey export from Google Drive.
  3. 3Logic iterates rows and skips ones with empty comment fields.
  4. 4Each comment is zero-shot classified into a theme with a confidence score in HuggingFace.
  5. 5The tagged rows are batch-written into the Airtable theme table.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Google DriveDocs, sheets, slides, files.
  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.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.