Analyzing Workplace Bias with AI and Data Visualization

This workflow is designed to identify and visualize patterns of workplace discrimination using a combination of web scraping, AI analysis, and data visualization tools. Starting with a manual trigger, the workflow gathers company reviews from Glassdoor via ScrapingBee, extracting key demographic and rating data. AI models analyze review content to assess bias and disparity across groups such as race, gender, and disability status. Statistical calculations, including Z-scores and effect sizes, quantify differences in employee experiences. The data is then formatted visually into scatterplots and bar charts using QuickChart to highlight significant disparities. This workflow helps organizations pinpoint areas of concern in workplace culture, providing data-driven insights to support diversity, equity, and inclusion initiatives.