Worked on the openfoodfacts/openfoodfacts-web repository to enhance user understanding of category analytics by updating documentation, specifically the FAQ section. Focused on clarifying how percentage differences are interpreted, the work explained that positive values indicate above-category averages while negative values reflect below-category values. This documentation-driven approach, utilizing HTML and user experience design skills, improved the clarity of analytics terms without altering the codebase, thereby maintaining application stability. The update aimed to reduce user confusion and potential support requests by making data interpretation more accessible, demonstrating a methodical focus on user education and documentation quality within the project’s existing framework.