Back in 2023 Q3, Google Cloud had a static website for their product listing, and they wanted to integrate intelligence to support the browsing experience. I researched and designed an 0-1 prototype for startup consumers to differentiate between similar offerings on the platform. It was launched on Google Cloud in 2024.
- Role: UX Designer, owned all research and the UX design of chatbot interaction
- Duration: 4 months
- Team: 1 senior designer, 1 UI designer, 1 engineer
Problem
Google Cloud offers 100+ products with different pricing, integrations, and capabilities. However, browsing is messy. Startup leaders struggle to find the right solution without clear guidance. The challenge was to help customers differentiate between similar offerings and discover solutions aligned with their business objectives.
The Deliverables: 0→1 Prototypes
Contextual recommendation
Personalized recommendations for product discovery. The chatbot enhanced discoverability by providing real-time, personalized recommendations based on user needs. It guides users through complex solution comparisons without requiring them to navigate multiple pages.
The broader takeaway was that assisted browsing works only when the system earns the right to intervene.
My Role & Research Process
Impact & Outcomes
Validated Hypothesis: Final prototype SUS score = 86.3% (excellent usability). Confirmed that helping users differentiate between similar solutions is critical to improving adoption.
Comprehensive Hand-offs: Delivered raw data, interview protocols, coded insights, and ongoing participant connections to support future research and implementation.