DEVOPS

Turn the war-room Zoom recording into a draft postmortem

When a Zoom incident bridge recording finishes processing, this workflow pulls the transcript, drafts a structured postmortem timeline, files it in Confluence.

CategoryDevOps
EngineSim + Paperclip
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZoom war-room recording completedZoomZoom
  • ActionFetch recording transcriptZoomZoom
  • ActionDraft structured postmortemOpenAI
  • ActionPublish postmortem to ConfluenceConfluenceConfluence
  • OutputLink doc on PagerDuty incidentPagerDutyPagerDuty

What it does

The hardest part of a postmortem is reconstructing what happened. This workflow takes the completed recording of a war-room Zoom call, uses its transcript to draft a structured incident timeline and impact summary, publishes the draft to Confluence, and attaches the link to the PagerDuty incident for the review.

When to use it

Use it after an incident is resolved and the war-room call has ended. It removes the blank-page problem from postmortems by giving the incident commander a populated first draft built from what was actually said on the bridge.

How it works

  1. 1A Zoom webhook fires when the war-room recording completes processing.
  2. 2The workflow retrieves the recording transcript from Zoom.
  3. 3An OpenAI step structures the transcript into a timeline, root-cause hypotheses, and action items in your postmortem format.
  4. 4Confluence creates a new postmortem page in the incidents space.
  5. 5PagerDuty receives the published doc link as an incident note for the follow-up review.

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
    Connect PagerDutyIncidents, on-call, escalations.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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