Desktop app
Mobile app
Productivity
2024
Role:
Product Designer
Year:
2024
Team:
2 designers, Full stack & QA engineers
Scope:
Researching, UX/UI, Design Handoff
One major problem was that AI didn't always give the same answer, which could make it hard for prototype designs to work in real life. Another problem was finding the right balance between using contextual AI and handling auto-enabling correctly.
After exploring various design ideas, I reached a point where I felt confident enough. Ready to get feedback on the first designs.
Context-aware AI for collaborators
Context-aware AI for notifications
Prebuilt prompts for text
During a feedback session, we concluded that the color I picked didn’t match the brand. It had to stand out, but the above purple was too different from Lupl’s teal identity.
A key takeaway from this meeting was to use familiarity. Since our customers were already using Microsoft Copilot, we decided on this card system for our assistant, as shown below.
Although the first designs were inspired by Notion's context-aware AI assistant, things turned out to be different along the way. Due to a development focus switch, the new requirements for a minimum viable product had been much simplified.
The new needs included four types of prompts on the dashboard AI modal. These cards had buttons that let you quickly turn text into tasks in Lupl.
Unfortunately, in the end, this feature was completely deprioritized. But the iterative design process helped me gain valuable insights into meeting technical and business constraints.
It helped me develop an agile attitude and become more aware that not all design ideas will make it into production. And most importantly, it gave me an opportunity to learn and improve.
