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

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This is a medium difficulty Analytics & Experimentation question, commonly asked during Technical Screen rounds at DoorDash.

What role is this question designed for?

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

Diagnose Decline in Delivery Success: Data, Hypotheses, Tests

Last updated: Mar 29, 2026

Quick Overview

This question evaluates data analysis, experimentation and statistical reasoning skills—covering segmentation, hypothesis generation, and the choice between time-series and cross-sectional tests—to diagnose a 10% drop in delivery success.

DoorDash

Aug 4, 2025, 10:55 AM

Data Scientist

Technical Screen

Analytics & Experimentation

Diagnose a 10% Drop in Successful Deliveries

Scenario

You manage a territory in a food-delivery marketplace and observe that the number of successful deliveries has dropped by 10% in that territory compared to the recent baseline.

Assume “success rate” = successful deliveries / attempted deliveries. Clarify whether the 10% drop is relative (e.g., 90% → 81%) or absolute (e.g., 90% → 80%). If not specified, state how you would handle this ambiguity.

Question

How would you diagnose the 10% drop in successful deliveries? Outline:

The data cuts/segmentations you would run.
Your key hypotheses for root causes.
The statistical tests (and thresholds) you would apply, including time-series vs. cross-sectional checks.

Hints

Discuss segmentation, time-series vs. cross-section checks, and which customer/merchant/dasher metrics you’d examine, along with significance thresholds.

Solution

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