Gokhana is a venture by ToBox Ventures whose mission is to leverage technology to improve our quality of life. The founders who are backed by multiple years of experience in technology strategy have come up with Gokhana app to bring simplicity in food ordering by using technology and reduce complexity.

When the founders of ToBox Ventures approached Gravity to design the GoKhana app, they wanted to use technology to reduce the complexity of ordering food online and solve the UI and UX issues that app users were facing.

At the outset, we conducted detailed research to understand the various pain points that app users were experiencing. It included a range of factors from picking the right restaurant to eat and choosing items to navigating menus, booking a table, placing an order or reordering, splitting the bill and finally, paying for the food.

On the other side, the partner app needed to respond and ensure that the food orders were delivered smoothly without any delay or mistakes to enhance customer experience and improve operational efficiency.

Our UX research methods are most crucial step to understand how users think, behave and feel through various well tested investigation approaches and bring solutions to the product users. We conducted various ‘Qual’ & ‘Quant’ research methods and gathered users data from restaurants and food court visits.

Our researches were conducted through field studies, user interview, stakeholder interview and requirement and constraints. Based on the gathering of all data, our team created affinity maps that shows relation of data by theme and brainstormed ideas. We used the map to bring a structure to the data and needs. It’s been created using a tool called Mural app by IDEO.

We have analyzed and clearly understood what users are facing, we dive deep and analyze the situation to gather a deeper understanding of the same.

Post the user data gathering, users are understood as two different types, like food court and restaurants user groups largely. Hence the user scenarios are different from each user group.

With clear information on user data and requirements, we designed Information architecture (IA) which helps organizing and structuring the content of app. User flow and app navigation flow is defined based on the data gathered from the users.

Once the information architecture is defined, create user interaction designs for the app. We have worked on multiple iterations on sketched and wireframes for various ideas from UX designers and stakeholders.

One of the major differences between an inside food ordering app from outside restaurant food ordering app is the user can order-repeat-modify-cancel food orders at any time. We designed simple navigation and an interactive interface that brought users a seamless inside food eating experience. The users would get live updates on every order direct from the kitchen.

By designing an intuitive Universal menu across all types of restaurants, we made it easier for users to navigate through lengthy menus and choose items to order. We achieved this through an architecture design exercise that involved smart naming and grouping of menu items, helping customers to find the item of their choice in no time. Instead of browsing through lengthy menus, the process of ordering was simplified to make the experience a more pleasant one.

Since most customers place repeat orders for the same items, we enabled an easier process for this to save time for the users. The seamless process included live updates on every order from the kitchen.

The new interface allows easy payment with a single tap.

Earlier, the process of splitting the bill was complicated. We introduced an interactive design to simplify the process and make life easier for the users to split the bill among family or friends.

We crafted the UX keeping in mind the user journey from start to end in the food ordering process, ensuring all the pain points were removed and enabling a smoother food-court and restaurant ordering experience.