1 Wicked Problem Artifact Submission Jonathan Wei BUAD 5607: Operations 2 Road to Recovery App: Business Plan I. Summary of COVID-19 impact on mental health for U.S. adults Mental health has always been a major public health issue. However, the onset of the COVID-19 pandemic has exacerbated mental health conditions for U.S. adults. One main factor that contributes to this involves the “impact of physical distancing and stay-at-home orders” (Center for Disease Control, Mental Health Pulse Survey, 2021). In 2019, estimates from the National Health Interview Survey, showed that “8.1% of adults aged 18 and over had symptoms of anxiety disorder, 6.5% had symptoms of depressive disorder, and 10.8% had symptoms of anxiety disorder or depressive disorder” (Center for Disease Control, Mental Health Pulse Survey, 2021). However, in 2020, “40.9% of respondents reported at least one adverse mental or behavioral health condition, including symptoms of anxiety disorder or depressive order” (Center for Disease Control, Mental health, substance use, and suicidal ideation during the COVID-19 pandemic, 2020). In addition to anxiety and depression, “26.3 of respondents reported symptoms of a trauma and stressor-related disorder related to the pandemic” and “13.3% of respondents have started or increased substance use to cope with stress or emotions related to COVID-19” (Center for Disease Control, Mental health, substance use, and suicidal ideation during the COVID-19 pandemic, 2020). It is also important to note that the communities that experienced the most reported mental health challenges included “minority racial/ethnic groups, self-reported unpaid caregivers for adults, and essential workers” (Center for Disease Control, Mental health, substance use, and suicidal ideation during the COVID-19 pandemic, 2020). II. Interview with Samantha Aube (Aspiring MA candidate in Mental Health Counseling) To gain more insights about the mental health impacts of COVID-19, I scheduled an interview with Samantha Aube, an aspiring MA candidate in Mental Health Counseling at Boston College. Samantha was chosen because her thesis specializes on the impact of COVID19 on mental health, specifically on U.S. College students and faculty. From our conversation, I learned more about some of contributing factors to mental health issues faced by college students and faculty members, which was extremely valuable in forming a targeted audience for my mental health service business plan. Aube had mentioned that her thesis focused on surveying over 40 students and faculty members about some of their top stressors related to COVID-19. Her results found that some of the top stressors amongst both college students and faculty members include at-risk family members getting sick from COVID-19, the student/faculty member getting sick themselves, socially distancing themselves after testing positive for COVID-19, and family members of students and faculty members needing to socially distance themselves after testing positive for COVID-19. Even more enlightening were the stress, depression, and anxiety scores that were evaluated by the students and faculty members themselves during the study. The table below represents the data found in Aube’s study: 3 Stress Scores Depression Scores Anxiety Scores Aube’s study found that “69% of faculty members and 90% of students surveyed reported moderate to high levels of stress” as a result of COVID-19 (Aube, 2021) Aube’s study found that “15% of faculty members and 53% of students reported moderate to high level of depression” as a result of COVID-19 (Aube, 2021) Aube’s study found that “31% of faculty members and 60% of students reported moderate to high levels of anxiety” as a result of COVID-19 (Aube, 2021). Table 1: Stress, Depression, and Anxiety Results from Aube’s study on COVID-19 mental health impact on U.S. college students and faculty members From the data above, mental health-related interventions and support programs are needed to support students and faculty members in the U.S. during COVID-19 to facilitate their mental health recovery. III. Identifying Targeted Market In addition to college students and faculty members feeling the mental health impacts of COVID-19, many U.S. adults suffered mental health impacts due to COVID-19’s harsh impacto n businesses and employment opportunities throughout the U.S. For instance, the onset of the pandemic “raised the unemployment rate in the U.S. to a historical high of 14.7% in April 2020” (Fan & Nie, 1). The increase in unemployment rates and mental health challenges were in parallel with each other during the pandemic. It was reported that “individuals who were involuntarily laid off have a higher frequency of feeling nervous, lonely, and hopeless” (Fan & Nie, 5). This may be due to not only losing income but also deprive an employee of a workrelated social network, which results in further loneliness. This particularly impacts African American and People of Color communities, as studies have found that a greater amount of their social network comes from work compared to other communities. The complexity of this problem is further exacerbated by the fact that government financial assistance does not seem to mitigate the mental health challenges of individuals impacted by COVID-19. In fact, individuals who received government financial assistance as a result of a layoff reported “feeling even more hopeless” (Fan & Nie, 17). Therefore, this suggests that financial assistance from the government alone is not sufficient in addressing mental health challenges brought upon by COVID-19 for all user groups, as the problem is much more complex than a financial one. Essential workers are another form of community that has been impacted significantly from a mental health standpoint according to the CDC. A 2019 study from the Economic Policy Institute estimated that “people of color make up the majority of essential workers in food and agriculture (50%) and in industrial, commercial, residential facilities, and services” (McNicholas, 4 2021). Essential workers include “those who operate buses and trains, serve as cashiers, and work in restaurant kitchens” and generally “have low-wage jobs that generally cannot be carried out remotely, which increases their potential exposure to the virus” (Bork & Gendelman, 4) It is important to note that a vast majority of jobs carried out by essential workers do not provide benefits such as paid sick leave or health insurance, which severely inhibits them from seeking the mental health care that they need from the pandemic. Additionally, many essential workers are being forced to work despite their underlying physical and mental health challenges because the “pay is typically not high enough to facilitate adequate savings” (Bork & Gendelman, 4). Rural communities are another demographic particularly impacted by the COVID-19 pandemic in terms of mental health and their accessibility to health services. Research in China has found that “the prevalence of mental health problems has been generally higher in the rural areas than their urban counterparts” (Liu et . al, 2021). These mental health problems included signs of anxiety, depression, and insomnia that the participants encountered due to the COVID19 pandemic. Another study in the US saw that rural communities “frequently struggle with limited health care workforces and resources under ordinary daily conditions” (Huang et. al, 2021). In addition, many rural areas have substantially less mental health services and available COVID-19 testing sites compared to urban communities. This leaves rural residents with a lot of anxiety during the pandemic because of their limited ability to detect and control COVID-19 from the lack of resources in health care. These limitations and staff shortages in mental health care impact rural communities and suggest that currently, rural areas are not a top priority. Transportation is another major challenge for rural communities in gaining access to mental health care. Rural communities are “more impacted by lack of transportation” than urban communities (Liu et. al, 2021). Studies have also suggested that “rural patients with a driver’s license were more than two times likely to attend health appointments than those without one” (Liu et al, 2021). This suggests that transportation complications play a major role for rural patients to see a doctor and is one area that can be focused on to increase mental health accessibility. Finally, people of color in rural communities are severely inhibited from receiving the mental health resources that they need. For example, “undocumented workers in Latino communities working in rural industries such as farming, poultry, and meat production often have no health insurance” (Liu et. al, 2021). Many of these industries occur in rural communities and due to their undocumented status, some Latino communities refuse to seek mental health care compared to residents of urban populations. IV. Mental Health Service App Prototype: Road to Recovery From the research on the various communities impacted from a mental health standpoint due to COVID-19 (college students, financially disadvantaged essential workers and people of color, rural communities, individuals with limited access to transportation, and individuals who were laid off), my business plan will include developing a mental health service app that connects all mentally struggling individuals with volunteers and mental health professionals for free or at a more affordable cost. A prototype of the mental health service app, Road to Recovery, can be shown in the picture below: 5 Figure 1: Road to Recovery (App Prototype) The Road to Recovery app will contain the following features: providing the struggling individual the opportunity to connect with a volunteer at no cost, connecting with a mental health professional at an affordable cost (video/phone/chat options available with no health insurance required), tips for dealing with anxiety & depression, a self-assessment for anxiety and depression that will determine the most appropriate course of action for the struggling individual, free breathing & relaxing exercise videos for the struggling individual to follow along, and a list of upcoming appointments for the individual. In addition, the app requires the individual to enable the location and gives the individual to connect with emergency services if the struggling individual is going through an intense anxiety or depressive episode, which warrants immediate attention. V. Competitor Analysis Competitor Analysis Strengths Weaknesses Moodkit *Free self Cognitive Behavior Therapy techniques to enhance mood *Ability for individuals to journal their thoughts and self-reflect *Cost effective for individuals that cannot afford direct mental health care with professionals *Does not provide an option for struggling individuals to chat with volunteers or mental health professionals *App focuses more on individuals struggling with mild to moderate cases of anxiety iBreathe BetterHelp *Interactive exercises that focuses on allowing individuals with anxiety & stress to breathe, relax, and meditate *Customizable breathing intervals for each user *Apple watch compatabiltiy to measure user's pulse rates *Over 20,000 therapists available to choose from to chat, videocall, or phone *Diverse licensed therapists with various specialities (adolsecent therapy, couples therapy, etc) *Flexible therapists hours *Provides online resources to combat anxiety, stress, and depression *Not the best long term from a cost standpoint because after a free 14 day trial, monthly membership rises to $12.99 per month *Does not provide an option for individuals to chat with volunteers or mental health *Costs can range from $60$90 per week *Costs are not covered by medicaid, medicare, or health insurers. All out of pocket costs. *No free trial or option to speak with mental health professionals or even volunteers 6 Table 2: Competitor Analysis of Mental Health Apps To gain more insights on how to frame the Road to Recovery app, I looked at strengths and weaknesses for three different competitors listed in Table 2 above. These competitors include Moodkit, iBreathe, and Better Help. My main takeaways from Moodkit and iBreathe were to incorporate an option in the Road to Recovery app for the user to interact with relaxation practices. These would include free videos where the user can practice breathing at various intervals in hopes of alleviating stress and anxiety. Because Moodkit and iBreathe did not include an option to speak with a mental health professional or volunteer, I decided to incorporate this feature into the Road to Recovery app as well as a differentiating factor. From analyzing the Better Help app, its competitive advantage is the amount of therapists to choose from and its online resources to combat anxiety and depression. From this, I decided to incorporate a self-guide for users to review various tips and strategies to mitigate moderate anxiety and depression symptoms. Another takeaway would be to allow users on the Road to Recovery app to input their contact details so that they can be matched with a mental health professional that best fits their needs. Opportunities for improvement for the Better Help app include having cost-effective alternative to speaking with a mental health professional and finding a way to connect users with a mental health professional faster, given that the lead time ranges from a few hours to few days. As such, for the Road to Recovery app, I decided to incorporate a free feature where the user can chat with volunteers about their anxiety and depression. This creates a cost-effective alternative for users who are unable to afford a formal session with a licensed mental health professional. Additionally, volunteers would be able to connect with users immediately. VI. Relevant Costs & Funding Strategies Initial relevant costs for the Road to Recovery app would include subcontracting mental health professionals, app development, launch & maintenance, and website launch & maintenance costs, and advertisements. The average cost for launching a mental health app “comes out to around $40,000 to $80,000” (Topflight, 2020) depending on the volume of mental health professionals that need to be contracted. Some ways to fund the development and launch of the Road to Recovery app may include bootstrapping & self-funding, taking out business bank loans, targeting private investors in the mental health industry that may fund some of the app development costs, and donations. VII. Sales Channels The primary means of selling to customers with the Road to Recovery app would be through an ecommerce platform since it will be accessible through an app or website. When users desire to speak with a mental health professional, they will be prompted to select the kind of support they are specifically looking for, which will help the app match a mental health professional that best supports the users’ needs. An example is included in Figure 2 below: 7 Figure 2: Self-Service Selection through Road to Recovery App Having a self-service selection as the primary sales channel would be an effective way to cut down on costs since there would not be an immediate need to use a third party to cultivate a sales force. A long term sales channel strategy may include having the app turn into a value-added reseller, which allows firms to add features or services to an existing product. An important aspect of selling to customers involves queuing theory, which is a “priority rule or set of rules for determining the order of service to customers in a waiting line” (Jacobs & Chase, 219). Because it is likely that the Road to Recovery app would be limited in mental health professionals, at least starting out, there will need to be a way to prioritize customer requests in a timely manner. Since the app is focused on mental health care, priority will be given to individuals that indicate higher levels of anxiety, depression, and stress. An example of this is shown in figure 3 below: 8 Figure 3: Self-Rating Level of Anxiety for Users If multiple individuals indicate the same self-rating for levels of anxiety, depression, and stress, then the app will by default prioritize users that submitted a request to connect with a mental health professional first. This practice is known as “first come, first served (FCFS)” (Jacobs & Chase, 219). Some companies prioritize highest-profit customers first or largest orders first; however, in the context of the mental health care industry, this practice is not ethical and would not align with the vision of the Road to Recovery app. Another important factor to explore through sales channels is the service rate, which is the “number of customers that can be handled during a given time period” (Jacobs & Chase, 219). Starting out, the Road to Recovery app will be on a limited budget, so there may be three full-time mental health professionals with each one specializing in either anxiety, depression, or stress. With the assumption that a full work day is 8 hours long and each video/phone session with users is 30 minutes long, the service rate for each mental health professional would be a maximum of 16 customers per day. This comes out to a maximum total capacity of 48 customers per day with three mental health professionals and 336 customers per week assuming a constant service time distribution. VIII. Marketing Activities Since the motivation for the Road to Recovery app is to help individuals struggling mentally because of the COVID-19 pandemic, many of the targeted users may include college students, financially disadvantaged essential workers and people of color, rural communities, individuals with limited access to transportation, and laid off workers. While the app does allow free access for individuals to chat with volunteers to help with anxiety, depression, and stress, there needs to be affordable options for users to interact with mental health professionals as well. It is also important to note that since some of the targeted audience may not have health insurance or coverage due to the financial or economic impacts of COVID-19, health insurance is not accepted to take advantage of these services. Some ideas to facilitate more affordable options for users may include grand opening discounts, promotions, and referral programs. Grand opening promotions might allow users to use the Road to Recovery app for a free trial to assess if the mental health services are a good match for the user. On the other hand, grand opening discounts may include offering a cheaper rate to users to speak with mental health professionals especially when the app is newly developed. There may also be discounts applied if the user chooses a long-term membership plan (weekly, monthly, etc) as opposed to signing up for a single session. Furthermore, payment plans can also be available for users to select from. These payment plans can allow users to break up their payments across several weeks and/or months, so that the 9 financial impact of signing up for mental health service is not a huge strain all at once. Finally, users can also take advantage of referral programs where they refer a friend that needs mental health care to the app, which can result in the user receiving free or significantly discounted sessions. Some ways for the Road to Recovery app to increase its presence include online advertising through social media platforms. Platforms such as Facebook, Instagram, TikTok and many more can be used to advertise the use of the app and the ways in which the app can help users struggling with anxiety, stress, and depression. These platforms can also be used to share knowledge that dispels the stigma behind seeking support for mental health and provide strategies to mitigate anxiety and depression. Attending mental health care conferences is another effective strategy in getting the app known to users. For example, Mental Health America hosts an annual conference where mental health care businesses, consumers, providers, advocates, and family members get together to talk about important and emerging mental health issues. Attending such conferences will allow users to engage with the app, understand its benefits, and provide feedback on how the app can be improved. VIIII. Project Timing and Planning Below includes a table of tasks completed and Gantt Chart which “shows in a graphic manner the amount of time involved and the sequence in which activities can be performed” for the Road to Recovery business plan (Jacobs & Chase, 134). Task Wicked Problem (WP) Verification Updated WP with Revised Comments Create WP Outline Refine Mental Health Statistics Research Interview Samantha Aube Determine Targeted Users Competitor Analysis Create App Prototype Brainstorm Funding Strategies Brainstorm Sales Channels Research Marketing Activities Write up Business Plan Proofread Business Plan & Submit Start Date 7-Nov 14-Nov 14-Nov Days to Complete 7 14 14 3-Dec 7 10-Dec 11-Dec 11-Dec 12-Dec 13-Dec 13-Dec 14-Dec 15-Dec 21-Dec 1 1 1 1 1 1 1 6 1 Table 3: Project Tasks, Start Dates, and Days to Complete 10 Gantt Chart: Road to Recovery Business Plan 10.ноя 20.ноя 30.ноя 10.дек 20.дек Wicked Problem (WP) Verification Updated WP with Revised Comments Create WP Outline Refine Mental Health Statistics Research Interview Samantha Aube Determine Targeted Users Competitor Analysis Start Date Days to Complete Create App Prototype Brainstorm Funding Strategies Brainstorm Sales Channels Research Marketing Activities Write up Business Plan Proofread Business Plan & Submit Figure 4: Gantt Chart of Road to Recovery Business Plan Activities The Gantt chart above shows the estimated time of completion for the business plan to be concluded on 12/21/2021. There is some slack time in between creating and submitting the wicked problem outline and refining mental health statistics research. Slack time is the “time that an activity can be delayed without delaying the entire project” (Jacobs & Chase, 142). The slack time during this time is due to the time that is needed to receive feedback on the wicked problem outline. On the other hand, there were certain activities that needed to be performed on a given day or the entire project could risk being delayed. This can be shown with the interview with Samantha Aube because she was planning on leaving the country for the year by December 11th, so she would not have been able to schedule a call afterwards. Furthermore, she had limited availability and could only speak on December 10th. Therefore, in the context of this project, this activity was the center of the critical path which is the “sequence of activities in a project that forms the longest chain in terms of their time to complete” (Jacobs & Chase, 140). This is because her insights could heavily influence the targeted users that the mental health service would center on, which ultimately impacts competitor analysis and app prototype creation. 11 Works Cited Fan, H. & Nie, X. (2020) Impacts of Layoffs and Government Assistance on Mental Health during COVID-19: An Evidence-Based Study of the United States. Retrieved from https://www.mdpi.com/2071-1050/12/18/7763 Bork, Rachel H., & Gendelman, M. Supporting a Nation in Crisis: Solutions for Local Leaders to Improve Mental Health and Well-Being During and Post-COVID-19. Retrieved from https://www.debeaumont.org/wp-content/uploads/2020/08/mental-health-actionguide.pdf. Chew. A et. al, Digital Health Solutions for Mental Health Disorders During COVID-19. Retrieved from Frontiers | Digital Health Solutions for Mental Health Disorders During COVID-19 | Psychiatry (frontiersin.org) Liu et. al (2021), Urban-riural disparities in mental health problems related to COVID-19 in China. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7395944/ Huang et. al (2021), Urban-rural differences in COVID-19 exposures and outcomes in the South: A preliminary analysis of South Carolina. Retrieved from https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0246548 McNicholas, Celine (2020), Who are essential workers? Retrieved from https://www.epi.org/blog/who-are-essential-workers-a-comprehensive-look-at-their-wagesdemographics-and-unionization-rates/ Centers for Disease Control and Prevention. (2021, July 20). Mental health. Centers for Disease Control and Prevention. Retrieved November 28, 2021, from https://www.cdc.gov/mentalhealth/index.htm. Centers for Disease Control and Prevention. (2021, October 20). Mental health - household pulse survey - covid-19. Centers for Disease Control and Prevention. Retrieved November 28, 2021, from https://www.cdc.gov/nchs/covid19/pulse/mental-health.htm. Centers for Disease Control and Prevention. (2020, August 13). Mental health, substance use, and suicidal ideation during the COVID-19 pandemic - United States, June 24–30, 2020. Centers for Disease Control and Prevention. Retrieved November 28, 2021, from https://www.cdc.gov/mmwr/volumes/69/wr/mm6932a1.htm. Jacobs, F., & Chase, R. (2017). Operations and supply chain management: The core (4th ed.). New York, NY: McGraw-Hill Education. Topflight. How to Develop a Mental Health App. (2020) Retrieved December 12th from https://topflightapps.com/ideas/how-to-build-a-mental-health-app/ Aube, Samantha. The Impact of COVID-19 on U.S. College Student and Faculty Mental Health. 2021