Hi, I'm Gi
A Product Designer based in Luxembourg.
My Latest Work
Master Thesis
I tested synthetic research across four user testing methods by comparing responses from 275 real users to 1644 GPT on eight different settings.
UX Research
Submitted for CHI 2025
LLMs
Foodflow
Mobile and web app created to support Milanese food aid NGOs organise their distribution logistics and inventory. The new app reduces inventory update time by half.
Product Design
UI Design
Predictive Models
SereneSense
Mobile and web app created to support Milanese food aid NGOs organise their distribution logistics and inventory. The new app reduces inventory update time by half.
Interaction Design
Published at Springer
Voice Assistantes
Leroy Merlin: Byeboard
Web app designed to help HR during offboarding. The platform collects discreet feedback from exiting employees and produces insights on how to increase employee retention.
Product Design
UI Design
Business Intelligence
Master Thesis: Synthetic UX
Addressing the contentious debate on whether AI will replace user research, I tested synthetic research across four user testing methods by comparing 275 real users answers to 1644 GPT instances. Findings show that with proper settings, LLMs can mirror human attitudes but still have relevant discrepancies in simulating behaviors. We discuss the implications of using LLMs in UX Research and suggest ways designers can explore synthetic testing without compromising human-centered design.
UX Research
Submitted for CHI 2025
Foodflow
Mobile and web app created to support Milanese food aid NGOs organise their distribution logistics and inventory. The new app reduces inventory update time by half.
Product Design
UI Design
Leroy Merlin: Byeboard
Web app designed to help human resources during employees offboarding. The platform collects discreet feedback from exiting employees and produces insights on how to increase employee retention. After this project, company's reputation increased by 39% in Glassdoor.
Product Design
UI Design
Master Thesis
I tested synthetic research across four user testing methods by comparing responses from 275 real users to 1644 GPT on eight different settings.
UX Research
Submitted for CHI 2025
LLMs
SereneSense
SereneSense, a monitoring system to help families monitor their elderly while respecting their privacy and independence. Our framework provide proactive data privacy check‐ins, reduces false alerts for caregivers, and offers gradual settings to cover different levels of memory loss.
Interaction Design
Published at Springer
Voice Assistants