Around 40% of reviews in Amazon are fake. As a PM in Amazon, how will you tackle the problem? Break your answer into 3 parts 1. How will you identify a review is fake? 2. What action will you take? 3. If the number of fake reviews are decreased, what will be the impact?

Introduction

Tackling the issue of fake reviews on Amazon is crucial for maintaining customer trust and the integrity of the platform. To address this complex problem, I'll follow a structured approach that covers identifying fake reviews, taking appropriate actions, and assessing the impact of reducing fake reviews. This framework will consider core metrics, supporting indicators, and risk factors while keeping all key stakeholders in mind.

Step 1

Product Context

Amazon's review system is a critical feature of its e-commerce platform, providing valuable information to potential buyers and influencing purchasing decisions. Key stakeholders include customers, sellers, Amazon itself, and third-party review platforms.

User flow:

1. Customer purchases a product
2. Customer receives an email prompting them to leave a review
3. Customer writes and submits a review
4. Review is processed and published on the product page

Amazon's review system is integral to its broader strategy of being the most customer-centric company in the world. Compared to competitors like Walmart or eBay, Amazon's review system is more robust and influential in the purchasing process.

Product Lifecycle Stage: Mature - The review system has been a core feature of Amazon for many years, but requires continuous improvement to combat evolving tactics used by those creating fake reviews.