##### Scenario DoorDash operates a three-sided marketplace (consumers, dashers, merchants). Leadership is debating whether to shift dasher compensation from per-order payments to an hourly (time-based) model and also wants a framework for diagnosing sudden drops in key metrics. ##### Question How would you determine whether DoorDash should pilot paying dashers by time instead of by order? Describe the experiment design, success metrics, and how you would control for marketplace effects across consumers, merchants, and dashers. Suppose a critical marketplace metric (e.g., order completion rate) suddenly declines. Walk through a structured process to identify the root cause and quantify its impact. ##### Hints Cover A/B test setup, sampling, guardrail metrics, segment analysis, and hypotheses tree for root-cause analysis; address external factors and data instrumentation issues.

This question evaluates a data scientist's competency in marketplace analytics, experimental design, causal inference, instrumentation-driven metric validation, and structured root-cause analysis for multi-sided platforms.

How do I approach Analytics & Experimentation interview questions?

Analytics & Experimentation questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master analytics & experimentation interviews.

What difficulty level is this interview question?

This is a hard difficulty Analytics & Experimentation question, commonly asked during Onsite rounds at DoorDash.

What role is this question designed for?

This question is commonly asked for Data Scientist candidates at DoorDash during technical interviews.

Determine Optimal Dasher Compensation Model and Diagnose Metric Drops

Time-Based Dasher Pay Pilot and Marketplace Root-Cause Analysis

Context

DoorDash is a three-sided marketplace (consumers, dashers, merchants). Leadership is considering shifting dasher compensation from per-order to time-based (hourly) pay. They also want a rigorous framework to diagnose sudden drops in critical marketplace metrics.

Task

Should DoorDash pilot paying dashers by time instead of by order? Propose an experiment design that covers:

Treatment definition, randomization unit, sampling/geo selection, spillover control
Primary success metrics, cost metrics, and guardrail metrics across consumers, dashers, and merchants
Segmentation and heterogeneity analysis
Ramp, power/MDE, and risk mitigation
How to control for broader marketplace effects (supply-demand equilibrium, pricing/dispatch interactions, seasonality, external shocks)

Suppose a critical marketplace metric (e.g., order completion rate) suddenly declines. Describe a structured, step-by-step process to:

Localize and identify root cause(s) across consumers, dashers, merchants, platform/instrumentation, and external factors
Quantify business impact and prioritize mitigations

Hints: Include A/B test setup, guardrail metrics, segment analysis, hypotheses tree, and considerations for external factors and data instrumentation.

Task

Should DoorDash pilot paying dashers by time instead of by order? Propose an experiment design that covers:

Treatment definition, randomization unit, sampling/geo selection, spillover control

Primary success metrics, cost metrics, and guardrail metrics across consumers, dashers, and merchants

Segmentation and heterogeneity analysis

Ramp, power/MDE, and risk mitigation

How to control for broader marketplace effects (supply-demand equilibrium, pricing/dispatch interactions, seasonality, external shocks)

Suppose a critical marketplace metric (e.g., order completion rate) suddenly declines. Describe a structured, step-by-step process to:

Localize and identify root cause(s) across consumers, dashers, merchants, platform/instrumentation, and external factors

Quantify business impact and prioritize mitigations

Hints: Include A/B test setup, guardrail metrics, segment analysis, hypotheses tree, and considerations for external factors and data instrumentation.

Determine Optimal Dasher Compensation Model and Diagnose Metric Drops

Quick Overview

Time-Based Dasher Pay Pilot and Marketplace Root-Cause Analysis

Context

Task

Solution

Submit Your Answer to Earn 20XP

Determine Optimal Dasher Compensation Model and Diagnose Metric Drops

Quick Overview

Time-Based Dasher Pay Pilot and Marketplace Root-Cause Analysis

Context

Task

Solution

Submit Your Answer to Earn 20XP