Diagnose a 20% Fall in Amazon India Daily Active Users

Quick Overview

A metric-diagnosis prompt for a product manager: Amazon's daily active users in India have fallen 20% and you must find the root cause. It tests validating the data, reading the timing of the drop, segmenting users to localize it, and ranking internal and external hypotheses with a test for each.

Diagnose a 20% Fall in Amazon India Daily Active Users

Company: Amazon

Role: Product Manager

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Other

You are a product manager at Amazon. Daily active users (DAU) in India have fallen by 20%. Walk through how you would find the root cause of the decline, stating the assumptions you make along the way. ```hint Find the shape before the cause Before brainstorming reasons, confirm the 20% is real, then pin down when it started, whether it happened overnight or gradually, and which slice of users accounts for most of it. Each answer removes whole families of explanations. ``` ### Clarifying Questions - Which Amazon surface does this DAU cover: the shopping app and website only, or also services such as Prime Video and Amazon Pay? - Over what period did the drop happen, and is it measured against the previous weeks or the same period last year? - Did DAU fall overnight or slide gradually? - Are orders and revenue in India down by a similar amount, or is the decline only in active users? ### What a Strong Answer Covers - Confirming the drop is real before diagnosing it: the DAU definition, tracking changes, and cross-checks against independent signals - Reading the timing and shape of the decline against seasonality and India's shopping-festival calendar - Segmenting users (platform, app version, region, new versus returning, traffic source) and quantifying each segment's contribution to localize the drop - A prioritized set of internal and external hypotheses specific to Amazon in India, each paired with the data that would confirm or rule it out - How the root cause is confirmed, what action follows, and which metrics show recovery ### Follow-up Questions - Suppose the drop is only on Android and starts the day a new app version rolled out. What do you check next? - If DAU fell 20% but orders stayed flat, is this a problem worth fixing? - How would you tell a competitor's festival sale apart from a lasting shift of shoppers to quick-commerce apps?

Overview: A metric-diagnosis prompt for a product manager: Amazon's daily active users in India have fallen 20% and you must find the root cause. It tests validating the data, reading the timing of the drop, segmenting users to localize it, and ranking internal and external hypotheses with a test for each.

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Amazon
Aug 2, 2026
mediumProduct ManagerOtherAnalytics & Experimentation
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You are a product manager at Amazon. Daily active users (DAU) in India have fallen by 20%. Walk through how you would find the root cause of the decline, stating the assumptions you make along the way.

Clarifying Questions Guidance

  • Which Amazon surface does this DAU cover: the shopping app and website only, or also services such as Prime Video and Amazon Pay?
  • Over what period did the drop happen, and is it measured against the previous weeks or the same period last year?
  • Did DAU fall overnight or slide gradually?
  • Are orders and revenue in India down by a similar amount, or is the decline only in active users?

What a Strong Answer Covers Guidance

  • Confirming the drop is real before diagnosing it: the DAU definition, tracking changes, and cross-checks against independent signals
  • Reading the timing and shape of the decline against seasonality and India's shopping-festival calendar
  • Segmenting users (platform, app version, region, new versus returning, traffic source) and quantifying each segment's contribution to localize the drop
  • A prioritized set of internal and external hypotheses specific to Amazon in India, each paired with the data that would confirm or rule it out
  • How the root cause is confirmed, what action follows, and which metrics show recovery

Follow-up Questions Guidance

  • Suppose the drop is only on Android and starts the day a new app version rolled out. What do you check next?
  • If DAU fell 20% but orders stayed flat, is this a problem worth fixing?
  • How would you tell a competitor's festival sale apart from a lasting shift of shoppers to quick-commerce apps?