Hera
How might we utilize users' needs and their health conditions to provide more personalized birth control information?
at White Space Design Challenge
Categories
Healthcare, Design Research, UI/UX Design
Task
My team and I wanted to better understand what it takes to land on a suitable birth control method and help make the process more desirable.
Action
Team Lead
#1 Design Research, #2 Concept Testing
Outcome
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Won third place at the White Space Design Challenge
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Designed a Hera app mockup and product presentation
Project Time
6 months (Sep 2018 - Mar 2019)
#1 Design Research
#1.1 Persona
Meet Cathy - Birth Control User
Cathy is a 35-year old women working as a hairstylist in Chicago. She has gone through 4 different kinds of birth control (BC) methods since the age of 22. The most recent switch is due to high blood pressure that can be related to her BC. She is annoyed about the irregular period due to the new BC. Thus, she is now thinking to switch BC again. She is active on social media looking for suggestions.
Meet Tanya - Gynecologist
Tanya is a gynecologist serving in a city college in Rochester. She has a set of physical models of different BC to explain to her patients during BC appointments. She is aware of her own bias and thus she makes sure she is not deciding for her patients. She is also aware that there is little medical research in minimizing the trail and error process. She says, "you can literally throw a dart to decide."
#1.2 Frameworks & Insights
Insight 1: Impersonal Information
Patients research BC methods through a variety of sources, but few of them are both personal & reliable. Information from the family can be more personal but less reliable than information from a doctor. In doctor appointments, patients expect a more thorough screening process to select a BC method based on personal needs and health conditions.
#1.3 Opportunities
Opportunity Area 2:
What if there is a clinical screening?
1. How might we leverage data science to turn millions of personal BC stories into useful info?
2. How might we leverage existing tech like hormone tests to reduce the trial & error process?
3. How might we better understand the possibilities of having certain BC side effects to prevent the trial & error process for users?