HR & RECRUITING
Aggregate Zoom Panel Debriefs into a Hiring Scorecard
After a panel interview ends, pull each interviewer's Zoom meeting notes and ratings, normalize them, and write a single structured hiring scorecard to a Monday item…
How it runs
The automated pipeline, trigger to output.
- TriggerZoom panel interview meeting endsZoom
- ActionFetch meeting metadata and panelist feedback notesZoom
- LogicVerify all required panelists submitted feedback
- ActionNormalize notes into per-competency scores and consensusOpenAI
- OutputWrite structured scorecard to candidate Monday itemmonday.com
What it does
Turns scattered post-interview feedback into one comparable scorecard. When a Zoom panel meeting ends, it collects every interviewer's submitted notes and competency ratings, uses an LLM to normalize the language and surface agreements and disagreements, then writes a clean scorecard back to the candidate's Monday item so the recruiter sees everything in one place.
When to use it
Use it when multiple interviewers each meet a candidate and you need a consolidated, apples-to-apples view instead of chasing five separate emails. Ideal for structured panel loops where each interviewer owns specific competencies.
How it works
- 1A Zoom meeting-ended event fires for the tagged interview meeting.
- 2The flow fetches the meeting metadata and each participant's submitted feedback notes from Zoom.
- 3A logic step checks that every required panelist actually submitted feedback; if not, it routes to a reminder branch.
- 4OpenAI normalizes each panelist's notes into per-competency scores plus a consensus summary and flags split decisions.
- 5The structured scorecard is written to the candidate's Monday item, updating rating columns and the summary.
Set it up
What you configure once, before turning it on.
- 1Connect ZoomMeetings, recordings, transcripts.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect monday.comVisual work management for teams.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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