Go Mama Bears

UX / UI Design 

Project Overview

The product is an app for women who are going through pregnancy and post-pregnancy to achieve their physical and mental wellness. This product improves the quality of life of people during pregnancy and post-pregnancy by providing physical and psychological support. It also has the potential to help alleviate psychological stress by interacting with other users in a group chat and posts. This app can also be utilized by other audiences who are interested in developing healthy wellness during pregnancy and after pregnancy. The product is also designed for anyone interested in being a mom. 



Women who are pregnant or postpartum need physical and mental support. They need a social community where they can share ideas and get mental support. 


Go Mama Bears app can give tips on how to improve mood and checks daily mental health. The app also has many recipes for women who are pregnant and in the postpartum stage. The social community page connects with other members of the app and shares tips and mental support.  

User Persona

Kate is a graduate student studying Education and working full-time as a sales manager. She enjoys outdoor activities. But she is worried that pregnancy would deter her from being active. Kate is married for 4 years and she is 4 weeks pregnant. She needs learning tools about pregnancy and physical and mental support. Kate also wants to know healthy workout and meal plans. It would be great to feel connected with other moms and share some tips. 


Feature Matrix


Competitive audit results. 

User Flow


Task 1. The user records daily mood and reads suggested tips. 

Task 2. The user finds a recipe and saves it.

Task 3. The user shares tips with members in the “MAMABEARS”, a social media for the app community.  

Low-Fidelity Wireframes

Usability Testing Results

High-Fidelity Wireframes

Task 1. Log daily mood and read tips

Task 2. Find a recipe and save it to "My Collection"

Task 3. Read "What's New" and shares it to Mama Bears Community.

High-Fidelity Wireframes