In the fast-paced world of online food ordering, providing a pleasant and efficient experience for restaurant owners and customers is paramount. Vendo is a pioneering force in the realm of online food services in Iran, offering restaurants a comprehensive platform to enhance their digital presence and streamline online sales. This case study overviews the redesign project undertaken by Vendo, aimed at enhancing the ordering flow and menu experience through the introduction of “Compact Menu.” By offering a streamlined alternative to the traditional ordering process, Vendo sought to optimize user experience while catering to the diverse needs of restaurant owners and online food enthusiasts.
As a product designer, I led the redesign initiative for the ordering menu, dubbed “Compact Menu.” My role encompassed conceptualizing, prototyping, and refining the new design to align with our objectives.
The existing ordering flow presented significant challenges for both restaurant owners and users. Accessibility issues, especially with extensive menus, hindered the user experience. Additionally, the user flow lacked efficiency, impeding order completion. The outdated and cliché user interface, unchanged for years, failed to meet evolving design standards. Furthermore, the absence of a highly demanded dark mode feature left stakeholders dissatisfied. Recognizing the urgent need for improvement, Vendo aimed to revolutionize the online ordering landscape by addressing these critical pain points.
Through a combination of user interviews, surveys, and usability testing, we stepped into the intricacies of user behavior and preferences. Insights gleaned from this research phase illuminated the frustrations and desires of both restaurant owners and customers, guiding our design decisions and ensuring a user-centric approach.
To thoroughly grasp the challenges faced by stakeholders and users within Vendo’s online food ordering platform, I conducted interviews with a diverse array of individuals, including restaurant owners, customer care representatives, and members of the sales team. Through these interviews, I tailored my inquiries to elicit insights specific to each group’s experiences and perspectives. Sample questions included:
Additionally, I harnessed website heatmaps and scrutinized users’ online behaviors to extract quantitative insights into their interactions with the current ordering interface. Analyzing this data allowed for the identification of patterns and trends in user engagement, offering valuable guidance for potential optimizations.
By merging qualitative insights from stakeholder interviews with quantitative data derived from website analytics, a holistic understanding of user needs and pain points was attained. This comprehensive comprehension served as the cornerstone for subsequent design decisions, aimed at soothing existing challenges and enhancing the overall user experience on the Vendo platform.
From our analysis and research, we identified the following user needs and problems:


After defining the main problems, we conducted four brainstorming sessions over a week. Each session focused on generating a diverse range of ideas to address the identified challenges. The design directions we considered were:
Some Ideas that Popped Out:
* The adopted ideas are highlighted in color.
By focusing on these key concepts, we aimed to develop prototypes that could be tested and refined to ensure they effectively meet the needs of our users and stakeholders.
With a clear direction from our brainstorming sessions, we focused on translating the most impactful ideas into actionable design solutions. Our primary objective was to address the key problems identified during the research phase and create a more user-friendly and visually appealing platform.
Approved Design Solutions:





We conducted usability testing to evaluate the redesigned features of Vendo. A group of 9 participants, comprising 4 women and 5 men, participated in the testing sessions. The tests were conducted remotely in one day. Each participant was given the same task scenario to perform using the prototype.
Task Scenario:
Order a multi-size pizza with two toppings of your choice. Ensure to view the item details, select the desired sizes and toppings, and proceed to checkout.

Summary:
We gathered data and monitored user behavior over two months. The results show significant progress, summarized in four key points:
Additionally, we received other positive feedback from stakeholders and restaurant owners.