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 medium difficulty Analytics & Experimentation question, commonly asked during Onsite rounds at Amazon.

What role is this question designed for?

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

Diagnose Business Decline Using Key Data Metrics | Amazon Interview Question

Diagnose Business Decline Using Key Data Metrics

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a candidate's ability to perform data-driven root-cause diagnosis, select and interpret key metrics across funnels, cohorts, customer and supply layers, and integrate internal and external data sources within the Analytics & Experimentation domain.

Amazon

Aug 4, 2025, 10:55 AM

Data Scientist

Onsite

Analytics & Experimentation

Diagnose a Sudden Business Downturn Using Data

Context

You are the data scientist supporting a large consumer marketplace. Leadership reports a sudden decline in topline performance over the last 2 weeks. You need to rapidly diagnose the problem using data.

Task

Outline a structured diagnostic approach to identify the root cause of the decline.
List the key metrics you would examine at each layer (business, funnel, customer, supply/ops, marketing, product/tech).
List the internal and external data sources you would pull to support the investigation.

Hints: Incorporate funnels, cohorts, external factors, and leading indicators. Make minimal assumptions as needed.

Solution

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