To start off, we were well aware that COVID-19 has caused the rise of tele-health to skyrocket. Our first step is to conduct a competitor analysis with 3 of our biggest competitors in the market to find out how they have successfully addressed our problem and find out exactly how they have not.
Our biggest goal to create Mental Health Matching was to provide to users what other apps could not, and we wanted to focus on a tele-health app that gives users more autonomy than any other apps. With that being said, we started our user research with creating a proto persona and conduct a user interview to get to know our target users. We also sent out a survey to a wider selection of participant pool in hope of getting more insights into their needs.
From our survey data, we found the following insights:
Upon finishing our 5:1 user interviews, we received a wide variety of feed backs from our users and their pain points. It is a common theme that users struggle to find a good therapist based on their interests as well as having a huge screening hurdle to surpass just to schedule a session.
Based on our research, we gathered our data to create a user persona that fully represents and empathizes with our users' pain points and goals and interests.
Despite our starting hypothesis, we found out that therapist experience and qualification played a bigger factor than relevant cultural identity. Here we have Amy, a 28 year old young professional, who recently lost her job and has gotten out of a serious relationship. She is looking for an affordable way to access mental health counseling.
We’ve noticed that in today’s stressful times, people need convenient and affordable access to quality mental health care.
How might we develop our app so that users are successful in selecting an experienced, affordable therapist who specializes in the area of expertise they are looking for based on an increase in the duration of the patient/therapist relationship?
With our data sorted, we formulated a problem statement to guide us into the next stage of our research.
We started our brainstorming process with the Affinity Diagram to gather our data into one spot and from then on, use the I Like, I Wish, and What If model to prioritize what issues we want to work on.
We want to entertain the idea to include the following features into our app:
Our user flow is mapped out through a set of wireframe tasks and interactions.
Amy can forgo the screening process by importing her medical history (if possible). Then she can directly look at different therapist profiles and have a trial session with 3 separate therapists to find which one will be her best match.
The following user storyboard will help us develop the user flow and envision how Amy will navigate through out app as we begin our prototype building process. We want to make sure that Amy finds our app useful and successfully match with a therapist and forgo the frustrating screening process.
Armed with our user flow fully developed, we started our prototyping process and conducted 2 rounds of usability tests with over 10 users on our lo-fi and mid-fi prototypes.
We were testing users on their feedbacks with the following tasks:
After attending all of her sessions, Amy was able to decide on which therapist she thinks fit her needs the most. However, she also has a choice to choose a therapist even if she has not used up her 3 trials.
Amy browses her options of therapists on her homepage and decided to book sessions with 3 different therapists.
Amy started her prescreening process with the option to import her medical history if it was available.
Our solution is to redesign the homepage as a carousel instead of horizontal scroll to showcase each therapist's information on their individual card that spans the whole screen. Therefore, making selection easier.
Our solution is to include a scrollable page where users can select an appointment meeting time that is convenient for them.
Amy wants to find a therapist to seek mental health. She has tried tele-health before and found that this option works for her. She was able to go through the on-boarding process quickly and easily. There was no long questionnaires or screening process, instead she found that she could connect her medical history of previous therapist visits.
Amy also finds that is is easy for her to browse through therapists once she has finished the on-boarding process. She is able to view therapist's individual information, including their accreditations, specialties, years of experience, and reviews. She is able to browse through a selection of therapists depending on their specialty, such as Anxiety, Stress.
Amy can easily schedule an appointment with the therapist of her choosing. She's able to view the therapist's availability for a week in advance and can choose the date and time to book with the therapist. When she finally has her appointment, all Amy has to do is to log into the app and have a video call with her therapist.
After her trial session, Amy is able to rate the session she had with the therapist and is given a choice of continuing with her remaining 2 free trials. Or she can select the therapist as her main therapist if she is happy with the session. Amy also has a choice to do her selection once she has used up all of her 3 trial sessions. Once she's selected a therapist, she is able to book more sessions with the therapist and start paying for her sessions.
Using the Design Thinking process, our team demonstrated that the “Mental Health Matching” app gives users control to easily select an experienced, affordable, therapist that specializes in a therapy area they need help with with no initial obligation.
This app demonstrates that separating the Therapist selection process from the constraints of Insurance company policies has the potential to help people find the mental health services they need.