Product design question

How would you improve Yelp?

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Tests product sense on a mature reviews platform where content trust and local business retention are the core levers, not new feature volume.

Segment users: consumers searching for a business, and business owners managing their listing and responding to reviews, since improvements differ by side.
Identify a consumer pain point: review trust, since fake or outdated reviews are a well-known concern that undermines the platform's core value.
Identify a business-owner pain point: limited tools to respond to and contextualize a bad review, especially a one-off incident that doesn't reflect typical service.
Propose a fix: stronger fake-review detection paired with a more prominent, structured business-response feature that appears directly next to a negative review.
Define success: consumer trust survey scores and business owner retention rate on the platform, since both sides need to stay engaged for Yelp's model to work.

Addresses both sides of Yelp's two-sided model, consumer trust and business owner tools, rather than only consumer-facing features.
Targets review trust specifically, a long-standing, well-known challenge for Yelp's reputation and business model.
Uses an illustrative number, e.g. assume 20% of businesses report feeling unfairly represented by a small number of outlier reviews, motivating better response tools.
Picks retention-based success metrics for business owners, since Yelp's revenue depends heavily on paid business listings staying active.

Proposing only consumer-facing features while ignoring Yelp's real monetization dependency on business owner satisfaction and retention.
Ignoring the well-known fake review problem that undermines trust in the platform's core value proposition.

How would you detect fake or incentivized reviews without over-flagging genuine negative feedback?
How would you balance protecting businesses from unfair reviews against protecting genuine consumer voice?