HR & RECRUITING
Exit Interview Recordings to Attrition-Driver Dashboard
Pulls new exit-interview Zoom recordings, extracts each departing employee's stated reasons for leaving, tags them to standard attrition drivers.
How it runs
The automated pipeline, trigger to output.
- TriggerExit-interview Zoom recording completesZoom
- ActionFetch recording transcriptZoom
- ActionExtract and classify attrition driversOpenAI
- ActionAppend classified rows to attrition tableBigQuery
- OutputRebuild attrition-driver dashboard pageNotion
What it does
Every time a tagged exit-interview Zoom meeting finishes recording, this workflow turns the conversation transcript into structured attrition data and updates a live driver dashboard. Instead of HR reading transcripts one by one, you get a continuously refreshed view of the top reasons people are leaving.
When to use it
Run this when exit interviews are conducted over Zoom and you want trend visibility without manual coding of each conversation. Ideal for HR teams tracking voluntary attrition month over month.
How it works
- 1A completed Zoom recording with the "exit-interview" tag fires the trigger.
- 2The workflow fetches the recording's transcript text from Zoom.
- 3An OpenAI model extracts the departing employee's stated reasons and classifies each into standard drivers (compensation, management, growth, workload, culture, relocation).
- 4The classified rows are appended to a BigQuery attrition table for durable storage and SQL aggregation.
- 5A summarized Notion dashboard page is rebuilt with current driver counts, top quotes, and trend deltas versus the prior period.
Set it up
What you configure once, before turning it on.
- 1Connect ZoomMeetings, recordings, transcripts.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect BigQueryDatasets, queries, schemas.
- 4Connect NotionPages, databases, comments.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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