👥 Check job descriptions for bias and inclusive language with OpenAI
⚡ 1 views · 👥 HR & Recruitment
Description
Quick Overview
This workflow collects a job description via an n8n Form, validates the text length, then uses OpenAI to score inclusivity, detect gender-coded wording, and flag discouraging phrases with suggested rewrites, returning the results as a formatted HTML report.
How it works
- Receives a job description submission through an n8n Form, with optional role title and industry.
- Normalizes the form fields into clean values and checks the job description is at least 150 characters long.
- If the text is too short, returns an on-page error message asking for a fuller job description.
- Truncates very long text to stay within model limits and sends the job description context to an OpenAI chat model for bias and inclusive-language analysis.
- Parses and auto-corrects the AI output into a structured bias report with an inclusivity score, gender-coding details, flagged phrases, and suggested rewrites.
- Builds an HTML report from the structured results and displays it back to the user in the form completion page.
Setup
- Add an OpenAI API credential to the OpenAI chat model node.
- Activate the workflow and open the Form Trigger production URL to submit test job descriptions.
- Optionally adjust the minimum length check (150 characters) and the maximum input size (12,000 characters) to match your needs.
🔗 Nodes Used
Basic LLM Chain, OpenAI Chat Model, Auto-fixing Output Parser, Structured Output Parser, n8n Form Trigger, n8n Form
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File