Turo’s Customer Data Platform

Turo’s Customer Platform is an internal tool widely used across the company by teams such as Engineering, Operations, Product, and Design. It serves as a central hub for accessing and managing customer-related data, including customer profiles, vehicle details, claims, and promo code usage. The platform also supports engineering needs like troubleshooting, testing, and QA.

Role

Project Type:

Desktop Design

Lead Product Designer

Team

Tools

Figma

Data Team, Engineering Team, PM

As the company grows, it’s getting harder to manage support costs.
We need better tools to help agents work more efficiently and keep the customer satisfaction strong.

Problems

Target persona

Goal and strategy

What we learn from agent focus group

Focus group of 50 agents, 50% of them are 1+ year experience, 50% of them are their first 90 days

Current experience

Organize information more effectively to help agents work faster,
reduce training time, and shorten support handle time

How might we

Main Navigation

We started with a moderated card sort to help narrow down key information and better understand how each navigation item is used.

Outcome

Sub Navigation

We currently list many similar nav items individually. There’s an opportunity to pre-group them, making it easier and faster for agents to access relevant information

Content

Unmoderated card sorting exercise

10 participants across different lines of businesses
- Pre/Post-trip
- Active trip
- Claim
- Verification

Pre-set categories:
- Driver information
- Driver settings
- Driver status
- Vehicle information
- Reports
- Parking lot - Not sure which categories

Prioritization

Moderate interview with agents from major lines of business to prioritize the information in each category (Information, status, reports, status, vehicle)

Outcome - Driver information

Final Design

Driver main page

Driver -> Vehicle list

Launching plan and timeline

We prioritize launching from larger agent groups into smaller, as it allows us to gather feedback and see returns earlier

Outcome

Three months after the full rollout, the average handle time was reduced by ~2 minutes across all call centers, with a 30-second reduction in average hold time—benefiting approximately 3,000 external agents across 5 countries

Thanks!!!

Please contact me for more detail about this project!