Metrics question

You are a CEO of Trip Advisor. In the last 2 week, you received a lot of feedback and complaints about one particular restaurant listing. What would you do?

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 rapid, structured investigation of a spike in complaints about a single listing, balancing platform trust with fairness to the business.

Clarify what changed: check if this is a new pattern or an existing low-rated listing simply getting more attention recently.
Read a sample of the actual complaints to categorize them, for example food safety, service quality, or a listing-accuracy issue like wrong hours or menu.
Check for a listing-integrity problem first, since a wrong address, price or hours can generate complaints unrelated to the restaurant's real quality.
If complaints reflect genuine quality issues, apply standard platform actions, a review-based rating adjustment or a flag, rather than a unilateral CEO-level intervention.
Weigh platform trust against fairness to the business: avoid an outsized reaction to a short-term spike without verifying it reflects a real, sustained pattern.

Investigates root cause, reading actual complaints, before jumping to a resolution, rather than reacting to complaint volume alone.
Separates a listing-data problem, wrong info, from a genuine quality problem, since the fix differs completely.
Balances two real stakeholders, platform trust and fairness to the business, instead of only defending one side.

Reacting to complaint volume alone without reading what the actual complaints say.
Taking unilateral punitive action against the business without verifying the complaints are accurate and sustained.

How would you distinguish coordinated fake complaints from genuine customer issues?
What would you do if the restaurant disputed the complaints as inaccurate?