HR & RECRUITING
Tag Exit-Interview Responses with Sentiment and Attrition Theme
When a departing employee submits an exit-interview form, classifies the free-text answers by sentiment and maps them to standardized attrition-driver themes.
How it runs
The automated pipeline, trigger to output.
- TriggerExit-interview form submitted (webhook)HTTP webhook
- ActionClassify sentiment and extract attrition themesOpenAI
- LogicValidate theme assigned, else tag unclassified
- OutputWrite structured record to Airtable baseAirtable
What it does
Turns raw, free-text exit-interview answers into structured, analyzable data. Each new submission is scored for overall sentiment and tagged with one or more standardized attrition drivers (compensation, management, growth, workload, culture, relocation), so HR can aggregate themes instead of re-reading paragraphs.
When to use it
Run this when you collect exit interviews through a form or HRIS webhook and want every response normalized into the same theme taxonomy the moment it arrives. It is the ingestion layer that every downstream attrition report depends on.
How it works
- 1A webhook fires when an exit-interview form is submitted, carrying the employee's role, tenure, and free-text answers.
- 2OpenAI classifies overall sentiment (positive / neutral / negative) and extracts one or more attrition-driver themes from the open answers, returning structured JSON.
- 3A logic step validates that at least one theme was assigned and falls back to an "unclassified" tag if confidence is low.
- 4The enriched record (sentiment, themes, confidence, original text) is written to the Airtable exit-interview base for reporting.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect AirtableBases, tables, views, automations.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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