B2B Saas for Restaurateurs
Help restaurateurs streamline ingredient management,
integrating an AI assistant leveraging data logic and visualization.
Duration
February - May 2025
Company
Buffr.ai, Asper Award Recipient
Team
2 Designers, 2 PMs, 2 Engineers
My Role
As a Founding Product Designer, I co-led UX/UI design and prototyping, collaborating closely with PMs and engineers to implement AI-driven data logic and visualizations that reflected real restaurant operations and PM insights.
Deliverables
Web dashboard and ingredient management system for restaurateurs.
Mobile ordering experience for customers.
Contributions
Co-led end-to-end product experience for an AI-powered B2B platform helping restaurateurs automate ingredient tracking and inventory decisions
Translated inventory and customer data into intuitive dashboard patterns through 5 design iterations, validated via usability testing with pilot users
Although I initially focused on visual strategy materials, I identified gaps in the existing storyline and proposed new ideas that received positive feedback.
Peer Review
"Jiwon actively contributed to the user experience design efforts for one of our key product initiatives."
"…During her tenure at Buffr, Jiwon actively contributed to the user experience and user interface design efforts for one of our key product initiatives. In this capacity, she demonstrated a strong commitment to the design process and a keen interest in creating intuitive and visually appealing digital experiences.Jiwon collaborated extensively and productively with our Senior UX/UI Designer, Faiz Anwar, benefiting from his guidance and expertise. Jiwon, also worked in conjunction with the rest of the Buffr founding team, gaining valuable first-hand exposure to the dynamic environment of an early-stage technology company. This collaborative setting allowed her to participate in various stages of the product development lifecycle, including product conceptualization and the practical application of product prototyping …"
Key Learnings
Structuring AI Algorithms
Because a single inventory item affected multiple menus, I learned the importance of building a consistent underlying structure. By collaborating with engineers, I mapped how data functioned and connected across the system.
Rapid Prototyping in an early-startup
Working in a fast-paced startup environment, I focused on quickly turning ideas into prototypes and refining them through continuous iteration and feedback with engineers.
Internal A/B Testing
In an early-stage MVP environment with limited real users, I learned the value of internal A/B testing to challenge assumptions, maintain objectivity, and improve the product through iteration.