Spot Workplace Discrimination Patterns with AI

This n8n workflow automates the detection of potential workplace discrimination by scraping company reviews from Glassdoor using ScrapingBee. It then leverages OpenAI for advanced text analysis to identify and quantify ratings based on demographics mentioned in reviews, such as gender, race, or age. Statistical computations follow, including z-scores, effect sizes, and p-values, to rigorously measure disparities and determine if patterns are statistically significant.

Visualizations are automatically generated, featuring scatter plots and bar charts that clearly illustrate bias trends, making complex data accessible for reports or advocacy. Ideal for HR professionals, researchers, journalists, or activists analyzing large U.S. companies, it provides actionable insights into equity issues with minimal setup.

Benefits include time savings on manual data collection and analysis, objective AI-driven extraction to reduce human bias, and professional-grade outputs for presentations. Use cases span corporate audits, DEI initiatives, legal reviews, or public accountability campaigns, empowering users to advocate for fairer workplaces.