Year
2025
Role
Product Designer
Platform
Web, Mobile
Team
PM, data scientists, engineers, designer
Designed an AI-powered feature that analyzes and summarizes hundreds of dealer reviews, providing potential buyers with quick, digestible insights about dealer performance and customer satisfaction.
Dealerships often have hundreds of reviews. Most consumers read the first 5 reviews or filter for worst reviews to get a measure of a dealership. This user behaviour however doesn't accurately capture the whole picture.
Reviews matter to dealerships. The perception consumers get from reviews makes a difference in if they contact a dealer or not. Therefore, creating a summary that accurately depicts the nuances of customers experiences at their dealership, is a delicate balancing act. One that must be done while keeping up dealer satisfaction.
Ratings dashboard redesigned to accomodate the AI summary
Up close. Summary truncated by default
CSAT to get a sense of satisfaction with dealers
If satisfaction is less than 4, tell us why
Disclosure that it's generated by AI, and more details of how it works.
Control mechanism implemented, for dealerships that might wish to turn this feature off on their pages.
While reviews provide 'wisdom of the crowd' to discerning consumers, it can be a hassle to read through when there are hundreds of them. Hence, a summary that accurately captures the sentiments of the crowd, saves time and helps consumers make quick decisions.
AI-generated summary feature integrated into the ratings page
Feature anatomy
Summary's evaluation