HR & RECRUITING

Attrition-Theme Spike Alert to Slack

Watches incoming exit-interview transcripts for a single attrition driver crossing a threshold within a rolling window and posts an anonymized early-warning alert to an HR Slack…

CategoryHR & Recruiting
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZoom exit-interview recording completedZoomZoom
  • ActionTranscribe and tag attrition themesOpenAI
  • ActionUpdate rolling theme tally
  • LogicCheck if any theme crossed spike threshold
  • OutputPost anonymized spike alert to SlackSlack

What it does

After each exit-interview Zoom recording is processed, this workflow updates a rolling count of attrition themes and checks whether any single driver — say, a specific manager-quality or compensation signal — has crossed a defined threshold in the recent window. If it has, it sends an anonymized spike alert to an HR Slack channel so the team can intervene before a pattern becomes a wave.

When to use it

Use this when you need fast warning that a particular attrition cause is accelerating, not a monthly retrospective. It surfaces emerging risk while staying confidential, naming only the theme and the count.

How it works

  1. 1A Zoom exit-interview recording-completed event triggers the run.
  2. 2The transcript is fetched and an LLM tags it with attrition-driver themes, discarding all identifying content.
  3. 3The themes update a rolling tally stored across runs.
  4. 4A logic step checks each theme against its spike threshold for the window.
  5. 5If a threshold is breached, an anonymized alert with the theme name and count is posted to Slack; otherwise the run ends silently.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZoomMeetings, recordings, transcripts.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  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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