AI Design Tools Research
Evaluating how AI fits into real design and development workflows
🔒 This project is under NDA. Please reach out for a full walkthrough.
Project Overview
During my internship at Nokia's Common Software Foundation UX Research team, I worked on a research project evaluating whether AI design tools could fit into how the UX team already works spanning across four use cases. This case study focuses on one of those use cases, UI testing and QA, where we conducted the deepest research and informed subsequent work to ultimately recommend tools.
My Impact
I worked across the full research cycle for this use case, from shaping the research questions to turning findings into recommendations. That included conducting and analyzing user interviews, co-designing and distributing a collaboration survey, mapping workflows across product teams, identifying where things were breaking down, and benchmarking tools against what our users actually needed.
Team
Anmol Sekhon
Márcia Marranita
Francisco Zenha Preto
Platform
Figma
Microsoft Teams
Microsoft Forms
Microsoft PowerPoint
Timeline
Aug - Sept 2025
2 Months
Deliverables
Research Report
Collaboration Survey
Workflow Mapping
Tool Benchmark
Goal & Target Audience
As part of the broader initiative to evaluate AI design tools, this use case focused on understanding how designers and developers approach UI testing and QA. We aimed to identify friction points in the process and assess whether AI tools could meaningfully reduce manual effort. Our primary audience included product and UX designers, frontend developers, and the Nokia Design System (NDS) team. These groups collaborate closely during handoff and implementation, yet their workflows and expectations were very different.
Research Timeline
This AI tools research initiative spanned multiple use cases, but this case study focuses on UI testing and quality organization. Other use cases are excluded to keep the narrative focused and within NDA scope.
