Roblox’s compensation philosophy is to remain market competitive across every role, level, and location. Traditionally, benchmarking relied on annual survey data—a time-consuming process that provided only point-in-time insights. Teams spent weeks cleaning and analyzing data, repeating the process across multiple job families, which limited agility and accuracy.

In this session, participants will learn how Roblox automated its benchmarking process to gain real-time insights. By applying scientific methodologies, creating data pipelines, and building a Continuous Market Benchmarking dashboard, the team reduced benchmarking from eight weeks to just two days. Attendees will see how automation and visualization improved efficiency, enabled faster creation of compensation ranges, and strengthened executive conversations with powerful, data-backed insights.

This session will provide practical lessons for HR and compensation professionals seeking to streamline benchmarking, leverage data analytics, and drive smarter compensation decisions.

Key Takeaways:

• Explore how leveraging data skills and dashboards can drastically reduce benchmarking time and improve accuracy
• Learn methodologies for creating data pipelines that provide real-time market data access and insights
• Discover approaches to communicate market benchmarking effectively to executives, using actionable and educational data
• Gain perspective on future opportunities, including AI-assisted compensation recommendations based on budget, target market percentiles, and job family criteria