AI-Driven Analysis of Workplace Discrimination on Glassdoor

This n8n workflow automates the process of gathering, analyzing, and visualizing workplace review data from Glassdoor to identify patterns of workplace discrimination and bias using AI. Starting with a manual trigger, it uses ScrapingBee to scrape company review pages, extracts reviews, and demographic information. The workflow employs OpenAI’s language models to perform sentiment and bias analysis, calculating statistical metrics like z-scores, effect sizes, and p-values to quantify disparities among demographic groups such as gender, ethnicity, and disability status. Lastly, it creates visualizations like scatterplots and bar charts with QuickChart to illustrate the magnitude of bias, enabling organizations to spotlight problematic patterns, enhance workplace equity, and foster inclusive environments.