HR & RECRUITING

Exit-Recording Intake, Redaction, and Confluence Archive

On a new exit-interview Zoom recording, transcribes it, produces a redacted theme summary that strips all PII.

CategoryHR & Recruiting
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZoom exit-interview recording completedZoomZoom
  • ActionFetch transcriptZoomZoom
  • ActionExtract themes and redact all PIIOpenAI
  • LogicBlock and re-redact if PII may remain
  • OutputPublish de-identified summary to ConfluenceConfluenceConfluence

What it does

This workflow is the front door for exit-interview data. When a new exit-interview Zoom recording lands, it transcribes the meeting, runs a strict redaction pass that removes names, teams, dates, and any phrasing that could identify the departing employee, and archives the clean theme summary to a Confluence space. It guarantees the rest of your reporting pipeline only ever sees safe, de-identified attrition drivers.

When to use it

Use this as the standardized intake and compliance layer before any attrition analytics. It centralizes redaction so confidentiality policy is enforced once, consistently, and produces an auditable Confluence record of what was retained.

How it works

  1. 1A Zoom exit-interview recording-completed event triggers intake.
  2. 2The transcript is fetched from Zoom.
  3. 3An LLM extracts attrition themes and rewrites them as redacted, non-identifying summaries.
  4. 4A logic gate blocks anything where PII may remain, looping back for re-redaction until clean.
  5. 5The de-identified summary is published to a Confluence archive page for the period.

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 ConfluenceSpaces, pages, blueprints.
  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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