All case studies
Devbot
DevBot is a UX research-led project that explores the role of code search tools and AI assistants in bridging the gap between design and development. Conducted across a six-month academic collaboration, the study examined how technologies like GitHub Copilot could improve the design handoff process. Through a combination of surveys, interviews, and chatbot prototyping, the project delivered new insights into AI-supported workflows and identified areas for future research in collaborative tooling.
Client:
Falmouth University & Un. of Lugano
Role:
Product Designer & UX Researcher
Date:
2024
Preview
“The handoff process feels like a funnel of multiple sources of truth—everything from JSON snippets to Figma files needs to align. Tools like DevBot could help us trace decisions better and reduce friction in real collaboration.”
— Study Participant, UX Research Interview
Key Contributions
- AI Design Collaboration ResearchCo-led academic research focused on how AI tools support code search during UX to development handoffs.
- Persona-Driven Chatbot DevelopmentDesigned the assistant's persona and backend logic to simulate natural handoff support conversations.
- Quantitative & Qualitative MethodsConducted 21 surveys and 9 interviews across designers, developers, and PMs to surface friction points and test assumptions.
- Prototype TestingBuilt and tested an early chatbot assistant with 8 participants using heatmaps, Maze reports, and usability feedback.
- Code Search Taxonomy AdaptationIntegrated and adapted research models to analyze gaps in UX-specific code discovery.
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© 2025 Sofía Orellano
All case studies
Devbot
DevBot is a UX research-led project that explores the role of code search tools and AI assistants in bridging the gap between design and development. Conducted across a six-month academic collaboration, the study examined how technologies like GitHub Copilot could improve the design handoff process. Through a combination of surveys, interviews, and chatbot prototyping, the project delivered new insights into AI-supported workflows and identified areas for future research in collaborative tooling.
Client:
Falmouth University & University of Lugano
Role:
Lead Product Designer & UX Researcher
Date:
2024
Preview
“The handoff process feels like a funnel of multiple sources of truth—everything from JSON snippets to Figma files needs to align. Tools like DevBot could help us trace decisions better and reduce friction in real collaboration.”
— Study Participant, UX Research Interview
Key Contributions
- AI Design Collaboration Research Co-led academic research focused on how AI tools support code search during UX to development handoffs.
- Persona-Driven Chatbot Development Designed the assistant's persona and backend logic to simulate natural handoff support conversations.
- Quantitative & Qualitative Methods Conducted 21 surveys and 9 interviews across designers, developers, and PMs to surface friction points and test assumptions.
- Prototype Testing Built and tested an early chatbot assistant with 8 participants using heatmaps, Maze reports, and usability feedback.
- Code Search Taxonomy Adaptation Integrated and adapted research models to analyze gaps in UX-specific code discovery.
All Case Studies
Connect
Let’s create your next big idea.
Get in touch
© 2025 Sofía Orellano
