
At Maknet, the goal was to design a mobile platform for iOS and Android users. As a UX/UI designer, I conducted user research by interviewing HORECA business owners and collaborated closely with developers to implement new features within a SCRUM framework. Through user testing, I gathered actionable feedback to drive iterative design improvements. Additionally, I maintained and updated the design system to ensure consistency and streamline the development process.
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Cancellation, return, and refund options are essential for any e-commerce platform, and Maknet was no exception. HORECA owners, who often place large orders, rely heavily on these features. Designing them required a deep understanding of logistical capabilities, technical constraints, and user needs to ensure a seamless and reliable experience.
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Collaborating with key stakeholders to gather information about the desired features and their technical limitations, ensuring a seamless implementation
Generating initial design concepts and proposals based on the insights gathered during information-gathering sessions
Planning and executing user testing sessions to validate or challenge design assumptions
Refining the designs based on user feedback and creating design components for the design system
Cancellation, return, and refund features are critical for Maknet, as HORECA owners frequently place large orders and rely on these options. To design a seamless experience, I started by researching logistical constraints with experts from Maknet, including processes and timing, to understand what the system could realistically support. I then explored the refund workflow within available banking systems to ensure requests could be handled efficiently and reliably. Based on these insights, I designed user flows and interface elements that balanced operational feasibility.
Leveraging insights from Maknet stakeholder feedback, we designed minimum viable products (MVPs) for the cancellation, return, and refund features. Using Figma, I created the designs and shared them with developers to evaluate the feasibility and capabilities of both backend and frontend implementation.





We conducted interviews with 10 target users to test our mockups, supported by an agency that recruited potential Maknet users in Thailand. The process began by defining the research topics and questions we aimed to answer. I created a detailed interview script outlining primary and sub-research questions and prepared interactive prototypes in Figma for testing.The agency scheduled Zoom interviews with the participants, and a translator assisted with any language barriers. By sharing my screen and providing access to the Figma prototypes, participants were able to interact directly with the designs while I guided them through the research questions, enabling us to gather actionable insights.

HORECA owners actually prefer receiving a refund or a discount on their next purchase, rather than having the same goods returned.
“I need to know when I will be refunded as I need to fill in inventory and expenses every month at the end of the month”
“I appreciate the flexibility of choosing a refund over returning goods. It gives me the freedom to make alternative arrangements and quickly replenish my inventory”
“Refunds are much more convenient for me as a restaurant owner. I prefer getting my money back rather than going through the hassle of returning goods and waiting for replacements”
After conducting the interviews, I compiled, organized, and analyzed the gathered insights. Using collaborative tools like Miro, we prioritized findings based on user value and technical effort. The results were then presented and discussed with the Product Owners (POs) to ensure alignment on which features should be developed.

Building on the insights from user interviews and the decisions made with Product Owners, I iterated on the MVP features and designed corresponding components in Figma. These components were integrated into the design system, which our team continuously maintained and updated to ensure consistency and scalability across the product.





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