HR & RECRUITING

Weekly Attrition-Driver Rollup to Monday Board

Each week, scans the prior seven days of exit-interview Zoom recordings, tallies the dominant attrition themes anonymously.

CategoryHR & Recruiting
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule
  • ActionList and transcribe last 7 days of exit recordingsZoomZoom
  • ActionClassify interviews into attrition themes (counts only)OpenAI
  • LogicCompute week-over-week theme deltas
  • OutputCreate or update weekly Monday board itemmonday.com

What it does

On a weekly schedule this workflow gathers every exit-interview Zoom recording from the past seven days, transcribes them, classifies each into attrition-driver themes, and posts a fully anonymized weekly tally to a Monday board. It computes the change versus the prior week so leaders see momentum, not just totals.

When to use it

Use this when leadership wants a steady weekly pulse on why people are leaving, tracked in the same Monday workspace they already use for people-ops planning. It avoids per-interview noise by reporting only aggregate counts and trends.

How it works

  1. 1A weekly schedule triggers the rollup.
  2. 2Zoom is queried for exit-interview recordings in the trailing week, and each transcript is retrieved.
  3. 3An LLM assigns each interview to one or more attrition themes and produces only counts, never quotes or identities.
  4. 4A logic step compares this week's theme counts to the previous run and flags any theme that jumped.
  5. 5The board item for the week is created or updated in Monday with counts, deltas, and a short anonymized summary line.

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 monday.comVisual work management for teams.
  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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