A drag-and-drop AI app builder for low-code developers
TIMELINE
2022-2023
ROLE
Design Lead
TEAM
Many developers
1 product manager
1 designer
SKILLS
UX Design
Design Systems
⚠️
This page contains only a high level view into this project, but I'm happy to chat! Please get in touch for a deeper look into Conveyor AI.
01 — OVERVIEW
Delivering an upgraded user and visual experience
Conveyor AI is a low-code orchestration platform that allows users to connect APIs from leading vendors like Google, Microsoft, and IBM to create AI applications in minutes. Conveyor AI is one of the start-ups under Hyper Blue, IBM's AI incubator.
ROLE
As the only designer on the team, I was leading the design and research of Conveyor AI as the product moved from MVP incubation to internal availability.
I served as the design lead for various part-time design contributors, managing and planning the delivery of deliverables.
OUTCOME
We delivered Conveyor AI as an internal tool. I refreshed the UI with updated visual design and a new design system. I leveraged user feedback to produce new user experiences for the agent library, canvas interactions, and deployment process.
02 — UI HIGHLIGHTS
Take a look!
02 — MILESTONES
What I accomplished as the first full-time designer
🌟
Produced the winning submission for a Red Dot Award for User Interface
Read the article ↗
🌟
Created a brand identity and deployed visual assets internally and externally
🌟
Produced design and content for Conveyor AI's internal and external website
🌟
Mentored 5 cohorts of IBM's early career design education program
🌟
Established a product user research practice from 0-1
🌟
Produced a custom design system building off of IBM's Carbon design system
06 — RETROSPECTIVE
What I learned
Progress is better than perfection
Owning all things design was a lot for one person, and it can feel impossible to deliver everything at 100% quality and completion. However, I've learned that the smallest bit of progress can still make a huge impact.
Advocate for design
It's so important to ensure that design processes and decisions are driven by user research, data, and feedback, rather than just aesthetics or assumptions. Fighting for good design practices is hard, but changes everything.