Evaluate Rider-Incentive Program Impact with Key Metrics
UberData Scientist · Technical ScreenLast updated
Uber data scientist analytics prompt on evaluating a rider-incentive program, covering experiment design, rider and driver metrics, matching quality, ROI, marketplace externalities, spillovers, and guardrails.
Scenario
The team plans to launch a new rider-incentive program and needs to evaluate its effectiveness across the marketplace.
Question
Propose an analysis/experiment to assess the impact of the rider-incentive feature.
List metrics for riders, drivers, and overall matching quality.
What additional metrics would you include and why?
Outline how you would measure these effects even if you know little about the feature’s internal design.
Hints
Define treatment vs. control, choose unit of randomization, include engagement, earnings, conversion, wait time, consider externalities and heterogeneous effects.
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