DoorDash's 3-Sided Experimentation Problem | Growthbook Blog

DoorDash's experimentation platform, led by senior engineering manager Ilya Izrailevsky, is designed to cater to three distinct user groups: consumers, dashers, and merchants, all of whom have unique and sometimes competing needs. The platform processed 12,000 experiments last year, handling up to 300 million feature flag evaluations per second. With a background in leading experimentation platforms at companies like Amazon and Uber, Ilya focuses on scaling experimentation across democratization, global expansion, vertical growth, and AI-powered development. DoorDash's CEO Tony Xu actively engages with the results of every experiment, fostering a company-wide culture of data-driven decision-making. The platform's sophisticated use of AI helps in mining institutional knowledge, configuring tests, and automating result summaries, though human judgment remains crucial. DoorDash's approach emphasizes the importance of balancing interests and the value of learning from every experiment, even those that don't achieve their initial goals. As DoorDash expands into new verticals and geographies, the emphasis remains on ensuring each experiment delivers tangible customer value, with experimentation serving as a vehicle for broader business impact.

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