HR & RECRUITING
Bias-Flag Audit on Submitted Interview Scorecards
Whenever an interviewer submits a scorecard, this workflow scans the written feedback for biased or non-job-related language and routes flagged scorecards to a recruiter…
How it runs
The automated pipeline, trigger to output.
- TriggerNew scorecard submitted in AirtableAirtable
- ActionClassify feedback for bias categoriesOpenAI
- LogicBranch clean vs flagged by severity
- ActionUpdate scorecard status in AirtableAirtable
- OutputAlert recruiter with flags and rewritesSlack
What it does
Acts as a real-time guardrail on individual interview feedback. The moment a scorecard is submitted, it checks the free-text comments for biased, discriminatory, or vague non-job-related language and either passes it through clean or holds it for recruiter coaching.
When to use it
Use it to build a fair, defensible hiring process and to coach interviewers in the moment. Best for organizations under compliance scrutiny or actively improving interviewer training, catching issues at the source rather than at the decision stage.
How it works
- 1An event trigger fires when a new scorecard row is created in the Airtable interview-feedback base.
- 2The workflow reads the scorecard's written comments and ratings.
- 3OpenAI classifies the language for bias categories (age, gender, race, accent, parental status, vague "fit") and returns flags with severity and an explanation.
- 4A logic branch separates clean scorecards from those with medium or high severity flags.
- 5Clean scorecards are marked approved in Airtable; flagged ones are set to needs-review.
- 6Flagged scorecards trigger a Slack message to the recruiter with the specific phrases and suggested neutral rewrites.
Set it up
What you configure once, before turning it on.
- 1Connect AirtableBases, tables, views, automations.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect SlackChannels, DMs, threads, mentions.
- 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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