WellMind

Overview

This project was inspired by the increase in demand for quality mental healthcare spurred by the COVID-19 pandemic. Ultimately, this data was assembled into recommendations for a website/app solution called WellMind that helps users find therapists to meet their needs. This solution was created as a student project. WellMind is a fictional product.

Contributions

Research Role: One of four UX Researchers in a shared academic project

Responsibilities: Contextual inquiry, interviews, inductive coding, survey creation and distribution, user scenarios and future design implications

Research Duration: January 2022 - March 2022

Tools: Miro, ATLAS.ti, R statistical software, Qualtrics


Design Role: Sole designer ideating, creating, and testing prototype design

Responsibilities: Conceptualize wireframes and prototype design, test design with users, iterate upon test results

Design Duration: June 2022 - ongoing

Tools: Adobe XD


Process

illustrated magnifying glass icon illustrated eyeball icon illustrated interview characters speaking to one-another illustrated survey selection icon illustrated lightbulb icon

Research - Observe - Interview - Survey - Inform Design

Our process began with researching the domain of mental health online resources and provider directories. Based on our research, we developed fundamental research questions and our overarching project goals. We then conducted observations by following a contextual inquiry framework. These were followed by interviews with users. Next, we developed a survey to test our hypothesis and findings from the previous interview and observation methods. Lastly, we synthesized the information from all of our data into design implications. These implications informed the recommended design for the app/website, WellMind.


Research

Literature

Our research was largely focused on exploring how people currently explore mental health topics online. In our research, we found two main types of sites - mental health provider search directories, and informational self-help resource pages. For further exploration, we framed our research questions to investigate how people use these two different types of sites.

Research Questions


Observations

Methods

To better understand how users currently utilize mental health resources online, we conducted observations of eight participants ranging from ages 23 to 34 who expressed interest in using online resources to research mental health. Participants completed a scenario-based task to search for professional help to resolve issues related to stress at work. All but one observation took place virtually. Observation were conducted using a Contextual Inquiry format.

The observation protocol can be viewed through this link

Findings

screenshot of affinity diagram sticky notes from observation data

We shared notes from our observations by creating an affinity diagram.

Observations were coded using ATLAS.ti software and an AEIOU framework for creating tags.

View Miro Board

The affinity diagram exercise helped us hone in on common themes among our interviews. The most salient themes were described as such:


Interviews

The interviews were intended to further inquire into the themes that emerged during our observations. Our questions were categorized into several themes: Research, Determining Initial Criteria, Evaluation, and Making Final Selections.

Because our observations used a fictitious scenario, we wanted our interviews to reflect a more personal experience. To do this, we asked participants to recall a time they searched for therapy for themselves or a loved one. This was included in the screening criteria, so participants were made aware of this requirement in advance.

Methods

We then conducted eight interviews to better understand the motivations, barriers, and challenges facing users engaging with online mental health resources. Interview participants were screened according to use of online mental health resources in the last 12 months. Participants were asked questions regarding their research approach, what criteria they found important when selecting a therapist, and what challenges they faced when searching online for a mental health provider.

The interview protocol can be viewed through this link

Findings

screenshot of affinity diagram sticky notes from interview data

We assembled our notes into ATLAS.ti, coded segments, and then shared our codes with each other in a Miro board. This board is divided into themes that outline major common findings from our interviews.

View Miro Board
  • Research Methods - Results showed that frequency in searching for mental health topics online varies greatly by the individual. Some users investigated online sources before searching for a mental health provider, and some used resources in conjunction with their search. Half of the participants asked family, friends, or a healthcare provider for recommendations for mental health help.
  • Features - All participants reported engaging with online reviews and ratings of practitioners. Some participants doubted the credibility of these review systems. Participants reported using biographies to aid in therapist selection.
  • Preferences - Individual preference appeared to greatly influence therapist selection. Some users voiced preference for in-person therapy, and therapists who are inclusive of gender, race and sexuality.
  • Challenges - Insurance, understanding of mental health terminology (mental health literacy), distrust of online information, were all reported barriers that prevented individuals from selecting mental health providers.

  • Survey

    Findings from the interviews were further explored through a survey. The survey aimed to investigate the importance of several key features mentioned during the interviews and observations - including filter criteria, biographies, scheduling, and ratings and reviews.

    Methods

    Lastly, we created a survey to explore users’ approaches to research, engaging with filters, selection criteria, scheduling preferences, and personal demographics. We used the same screener as mentioned with the interviews to determine inclusion criteria.

    The survey was created to test our hypothesis:

    Users who have done less self-help research will find it more difficult to pick a therapist online

    The survey was created using Qualtrics and distributed through the DePaul University College of Digital Media participant pool and social media sites.

    The survey protocol can be viewed through this link

    Findings

    After performing statistical analysis, our hypothesis was ultimately rejected - there was no significant difference in amount of self-help research done and difficulty finding a therapist online. Despite insignificant results from our hypothesis, the survey revealed interesting trends in features that users value and potential barriers in online mental health resource websites.

    The graphs below resemble several key findings that were considered along with our data from observations and interviews. Ultimately, these graphs helped us reflect and synthesize our data into concise themes.

    survey graph showing scheduling preferences survey graph showing helpful features
    survey graph showing features used survey graph showing common barriers
    survey graph showing common selection difficulties

    Summarized Themes

    After completing the survey, we combined the findings from survey, interview and observation data to form the following summative themes:

    Design Implications

    Synthesizing data from our observations, interviews, and surveys resulted in the following implications for design. These recommendations are intended to meet user needs as described in our research findings.

    Search/Compatibility Features

    Findings from the observations, interviews, and survey revealed that provider compatibility is important to many participants. Our data showed that most participants interact with filter criteria to find a therapist that aligns with their personal identity and values.

    Selection/Profile Features

    Wanting to know more information about the therapists' style, credentials, and approach to therapy were all common findings mentioned by participants throughout the observations, interviews, and survey. Our findings suggested that users need a designated spot to find provider information. Our data supports the need for a standardized profile that contains information regarding insurance, contact information, and the following areas described below.

    Scheduling Features

    Scheduling was discussed among participants throughout the observation, interview, and survey processes. Convenience appeared to be an important factor in determining preference for scheduling appointments.

    Community Features

    Getting opinions from peers through online resources was repeatedly mentioned in our data. In observations and interviews people describe engaging with message boards or forums to get information on specific issues and diagnosis. Information from the survey showed that individuals like the anonymity of online resources over asking a medical professional or a friend about mental health topics.

    Designs

    Landing page

    screenshot of mid fi landing page for WellMind

    Goals

    • Advertise community groups and opportunities for engagement
    • Provide relevant mental health related feature articles on main page
    • Give users freedom to search in a way that works for them - location

    Find a Therapist

    screenshot of mid fi therapist page for WellMind

    Goals

    • Advertise compatibility questionnaire
    • Educate users on mental health topics
    • Provide information on complex mental health related terms, such as therapy types

    Compatibility Questionnaire

    screenshot of mid fi compatibility questionnaire for WellMind

    Goals

    • Allow users to indicate personal values and desired qualifications of therapist and potential detractors

    Compatibility Questionnaire Results

    screenshot of mid fi compatibility questionnaire results for WellMind

    Goals

    • Identify therapists that meet the indicated values and needs of the user, as identified in the compatibility questionnaire
    • Present information in an orderly way that shows the best-match by quantifying therapist fit through percentage values
    • Sneak-peek of therapist bio and introductory information on face-card gives users an idea of the therapist before viewing their profile

    Therapist Profile

    screenshot of mid fi compatibility questionnaire results for WellMind

    Goals

    • Provide detailed information on therapist's credentials, trainings, and group affiliations.
    • Offer an opportunity for users to view a video introduction provided by the therapist
    • Users can view ratings and reviews of the therapist by other community members, and view professional endorsements from the therapists colleagues

    Community

    screenshot of mid fi community page for WellMind

    Goals

    • Users can search for community groups and forum posts to find their desired way of engagement
    • Users can opt to join the community by creating a profile. Anonymity is preserved by enforcing illustrated avatars as profile pictures instead of actual user images

    Next Steps in Prototype Design

    1. Add additonal screens to illustrate user login, posting and commenting on community forums, and scheduling with a provider.
    2. Create mobile wireframes of screens to accomodate for use on various devices
    3. Add interaction to prototype design to prepare for user testing
    4. Develop test plan and conduct usability test of prototype with users that fit target demographic
    5. Evaluate test results and make design improvements
    6. Repeat testing and re-design steps as needed