HR & RECRUITING

Draft Debrief Scorecards from Zoom Interview Transcripts

When a Zoom interview recording finishes transcribing, extract a draft per-competency scorecard and pre-fill the interviewer's debrief in Monday so they only have to confirm…

CategoryHR & Recruiting
Enginesim
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZoom interview transcript completedZoomZoom
  • ActionRetrieve transcript and candidate/role contextZoomZoom
  • LogicConfirm transcript maps to a known loop and rubric
  • ActionScore competencies from transcript with quotesOpenAI
  • OutputPre-fill draft scorecard on Monday itemmonday.com

What it does

Removes the blank-page problem from writing debriefs. When Zoom finishes transcribing an interview, it analyzes the transcript against the role's competency rubric, drafts evidence-backed ratings with quoted moments, and pre-fills a debrief draft on the candidate's Monday item for the interviewer to confirm or edit.

When to use it

Use it when interviewers struggle to recall specifics hours later or write thin feedback. Pre-drafting from the actual transcript raises feedback quality and speeds up submission, while keeping the human as the final approver.

How it works

  1. 1A Zoom recording-transcript-completed event triggers the flow.
  2. 2The flow retrieves the transcript and the meeting's candidate and role context.
  3. 3A logic step confirms the transcript maps to a known interview loop and rubric.
  4. 4OpenAI scores each competency from the transcript with supporting quotes and a confidence note.
  5. 5The draft scorecard is written to the candidate's Monday item in a clearly labeled 'draft - confirm' state for the interviewer to finalize.

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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