Together with a medical pediatrician research group, we've developed a mobile app for parents to track their baby’s feeding process.
React Native Development
UI & UX Design
A 4-member pediatrician group wanted to create an easy-to-use mobile app to help parents of newborn babies. The main purpose of the tool is to analyze food reactions and allergies, so parents can create an optimized menu for their child. All analyses and calculations should be done directly within the mobile app. Taking this further, the pediatricians wanted to add curated recipes to the app, accessible with a premium subscription. The client wanted the app to be fully functioning, even without internet connection (in offline mode).
To kick off,we developed a cross-platform solution with React Native to improve the time-to-market and have both iOS and Android apps released at the same time. Our UI/UX team collaborated with the client on the product design and interfaces. We involved a focus group of parents to receive early feedback in the prototype phase.
The apps were built with an offline-first approach. We implemented a powerful local database solution combined with extensive caching in order to keep performance high, even on lower-end devices. We developed interactive graphs, representing feeding data in a digestible way.As for in-app purchases, our expert team implemented a couple of tricks to make sure there is no place for fraud.
As any parent knows, it’s important to monitor your baby's diet and food reactions in order to develop healthy, allergen-free meals to support their growth. Our team collaborated with medical researchers to develop Little Foodie, a feature-rich app to give parents control over the feeding process.
AWS (API Gateway, Lambda)
This is one of the core app screens where parents can record their baby's meals. We worked hard to implement all features and keep it intuitively simple.
Our team tested several variants with the help of Firebase A/B to help us choose the very best option.
The app records all feeding details locally and then synchronizes with the back end if defined conditions are met (e.g. suitable connection).
The app analyzes the data recorded, which is used for building graphs, feeding suggestions, and more (e.g. allergen analysis, favorite product selection). These actions can be performed even offline.
As a part of MVP, we've implemented and tested multiple in-app purchase options (e.g. non-consumable purchases, subscriptions).
With the help of A/B testing, we identified when exactly the paywall screen should pop up in order to generate as many paying users as possible.
As per the client's requirements, our team implemented a smart system of local and remote push notifications: feeding reminders, special in-app purchases sales, personal recommendations based on feeding records, and many more.
Parents can create baby profiles with photos to get personalized recommendations based on certain parameters (e.g. gender, age, allergens).
Pediatrician editors can add recipes within different categories via the admin panel. Both recipes and categories can be free or premium - available for purchase.
We integrated Firebase Analytics to gain valuable insight on user engagement, run A/B campaigns, and provide data from BigQuery to a custom BI dashboard.