MX
Company
Uber
Year
2025
Role
Lead Designer
Challenge & Approach
Scale experimentation with confidence
As experimentation scaled across marketplace teams at Uber, coordinating overlapping tests became increasingly time-consuming. Inconsistent experiment design, incomplete documentation, and non-standardized reporting reduced visibility, slowed decision-making, and limited the ability to learn from results.
MX is a marketplace experimentation platform that enables users to schedule, create, launch, and analyze experiments to guide product decisions.
My Role
Bringing clarity to complex experimentation
Led the 0-1 design of the experimentation platform, establishing the vision, interaction model, and workflow standards for experiment creation, governance, and reporting. Partnered closely with product, engineering, and data scientists to balance operational needs, usability, and scalability.
Increase visibility across the organization
Explore a centralized repository of experiments, making it easy to discover past work, understand outcomes, and build on existing learnings.
Prevent overlapping tests
Plan and configure experiments within a shared calendar, with built-in conflict detection to identify overlapping tests and help ensure reliable, unbiased results.
Analyze experiment results through a unified reporting framework that highlights key metrics, supports rollout decisions, and enables clear communication with stakeholders across teams and organizations.
Result
Driving smarter product decisions
By standardizing experiment planning, execution, and analysis, MX transformed experimentation from a fragmented process into a scalable system for organizational learning and product innovation.