Evaluate Key Metrics for Biker-Dasher Program Success
Overview
This question evaluates a data scientist's competency in experimental design, metric definition, causal inference, and operational diagnostics related to marketplace supply, safety, and unit economics.
DoorDash
Aug 4, 2025, 10:55 AM
Data Scientist
Technical Screen
Analytics & Experimentation
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Marketplace Experiment: Launching a Biker-Dasher Program
Scenario
A delivery marketplace is considering a program that allows couriers using bicycles ("biker dashers") to fulfill orders. This could expand supply in dense urban areas and potentially improve customer experience and unit economics, but it may introduce operational and safety considerations.
Tasks
- Pre-launch assessment: What factors should be evaluated before launching the biker-dasher program?
- Success measurement: Which core and guardrail metrics should be used to measure the program’s success?
- Experiment design: How would you design an experiment to test the program?
- Diagnosis: If the metrics do not improve, how would you diagnose and iterate?
Assume the marketplace operates across multiple zones/cities with heterogeneous demand, weather, and infrastructure.
Solution
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