After an in-depth analysis of the project’s goals, requirements and specific details, our team developed an optimal strategy to turn it into a cutting-edge digital product.
-
Design & Prototyping
Based on the application functionality and the target audience, two types of users were identified: the User and the Superuser (for business representatives). Our designers created a clickable prototype with intuitive navigation and easy-to-use design to satisfy all types of users' needs.
Also, as the majority of the target audience in the US uses iPhones, the app was developed for iOS and has fast and easy registration and login via Apple ID.
At this stage, we chose an MVP as the first product version to better test the functionality and collect feedback.
-
Profile Completion with Mona
To avoid the standard boring profile filling, we created a chatbot called Mona to make the process more engaging and interactive. Mona app collects data about the user: name, city/district, and the types of businesses the user is interested in. Later, Mona also asks for the user's date of birth and phone number, as this information is necessary for joining a deal.
All this personal data is presented in the user profile and can be edited. Here users can view all active and collected deals.
-
Analysis of Missing Businesses
This is designed to find out what business customers are missing and fill that gap with new ones. Users select the type of service (banks, stores, wellness brands, etc.) and the area where it is not missing. Then the Superuser can see the search results in the admin panel and identify business ideas that are in demand in that part of the city.
-
Collecting a Deal
There are 3 simple steps to collect a deal: find and select a suitable deal, join it and show the screen to an employee at the time of collection.
If the user did not enter a date of birth and phone number when first interacting with Mona, the app will return the user to that screen.
-
Admin Panel for Businesses
Mona enables superusers to add new cities and neighborhoods, businesses and available deals. Moreover, they can track a list of missing businesses and all completed and planned deals.
This way businesses can assess market demand, find out audience preferences, and create relevant offers.