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Predictive design opa app
- 1. Predictive Design for The ultimate marketplace that connects the clients with their caregivers. Opa App By Ruilin Zhang | 8.22.2019
- 2. 1.2 million Americans ages 65 and older need some kind of assisted living in 2017, but there is only 5 percent of the elderly population occupy nursing homes. 95% of the aging group that lives in regular homes need assisted living from caregiving visitors. The aging group that needs assisted living An estimated 48.9 million people or 19.4% of the non-institutionalized civilians have disabilities. An estimated 24.1 million people have severe disabilities. An estimated 34.2 million people, or 17.5%, have functional limitations. 5% living in nursing homes 19.4% have disabilities 10% have severe disabilities 17.5% have functional limitations The percentage of disabilities among the non-institutionalized US civilians 95% living in regular residence What the statistics show in Caregiving Service Industry 3
- 3. While there are many mobile apps found available for iOS and Android download to provide childcare and petcare services, None is found in the App Store that is primarily designed for connecting the seniors and the special-needs demographics with their potential caregivers. N/A apps for childcare and pet care we can find in the App Store Approximately 11 percent of the working adult population in the U.S. are working primarily as full-time independent contractors in the gig economy. Two in 鍖ve seniors owns a smartphone. Around a third of seniors report using different social media apps. One in every two, or 72% of the adults with disabilities in the US owns smartphones, 67% of them are engaged with different social media apps. While the target user groups actively engaged with mobile app and technology, they are NOT utilizing the same kind of interaction to meet their needs for the caregiving service. X The Current Data Model
- 4. Currently, all senior or special-needs caregiving facilities still are operated on physical o鍖ces. The business model relies on the customers to call the local of鍖ces to ask for an on-site visiting to receive the services they need. In this study, Im using Visiting Angels Senior Center as an example. Visiting Angels is one of the largest senior service facilities in North America ( they also have of鍖ces in the UK ). Their business model is to franchise local physical o鍖ces to cover as many of their service territories as possible. By doing so, they help to set up their independent contracted of鍖ces and provide all necessary training to get the local of鍖ces up running. This service model represents not only the mainstream in the senior caregiving industry but also the only model currently stands. 1.13 million elderlies that live in the regular residences, 24.1 million people with severe disabilities, and 34.2 million people who have functional limitations are the demographics that very likely need assisted-living. The only way for them to request the assistance is to call the local of鍖ces where they reside. 39.8 million active working caregivers. They rely on various traditional job resources (online job boards, the local newspaper, etc.) to get hired as contractors by the local of鍖ces to visit their end customers. Customers call the local of鍖ces to request service caregivers provide their service through local of鍖ces that they contracted under The Headquarter spends vast resources in setting up local of鍖ces as well as providing training on their operations. The Current Business Model
- 5. Customers go on the web or download the app to sign up using their email addresses or phone numbers, or simply register with their social media account like Facebook. caregivers sign up to the marketplace Replace the franchise model with a centralized marketplace by developing a mobile/web application to connect the caregivers and their customers. The SasS model eliminates the cost and resources for managing local of鍖ces, and provides a comprehensive automated system to connect their end users (clients and providers) through an intuitive and comprehensive service application. By switching to a SasS model, the headquarter saves tremendous cost and resources from the physical setups as well as their maintenance. The Current Business Model
- 6. Meet Opa: The ultimate application that connects the end users and their caregivers The data collection Clients location, Clients gender, age Clients physical conditions Clients home address Clients phone# or email address Clients social media account/public info Providers location Providers gender, age Providers education background Providers legal status Providers active status Providers email address and phone# Providers social media account/public info Opa is a service app that connects the users from both ends. It is developed with features that provide a precise match between the client and the provider. It is also time-ef鍖cient when sending out information. The application is essentially designed by relying on personal data from the users to allow the engineering to develop the algorithm and identify useful patterns to set up the connection between the clients and their caregivers. Here is the overview of the development process of the app: Applying geolocation API in the application to identify the users' locations from the client-end and the provider-end for a fast and accurate match. Using the collected data, such as age, gender, and physical needs the application can be built with functionality to match various types of requests with the relevant services. The application is programmed to collect user's personal information such as phone#, email address and social media account, then to use SMS noti鍖cation API to send out time-sensitive noti鍖cations by identifying the active status of the users (the provider-end). Ultimately, the application will match the clients request bases on these key factors: Location service type active status (the provider-end) The New Data Model For The Predictive Design 7
- 7. The Predictive Design of the Opa App User sign up using facebook or email/ phone# Integrate Google geolocation API to provide nearby caregivers information based on Zip code Users review and select their desired caregivers Users request their desired services by answering the pre-formulated questions to help the app to build a better match The system generates the best result based on the information provided by the users Client Portal I
- 8. The Predictive Design of the Opa App User provides home address User provides the date and time where and when they wish to have the service Payment process A security code will be sent to users unique cellphone# using SMS veri鍖cation API to con鍖rm the requested service Client Portal II: Payment and Veri鍖cation Process
- 9. The Predictive Design of the Opa App User sign up as a caregiver User to allow location access from the app to be connected with potential clients Users personal information needs to be collected for matching with their potential clients as well as a standard background check User upload required legal document as part of the background check process. All user 鍖les will be safely saved in the application's database system User completes the registration Caregiver Portal I
- 10. The Predictive Design of the Opa App Caregiver portal II matching process and job noti鍖cation User receives the noti鍖cation from the app about the job from the app User is directed to the noti鍖cation details by tap on the alert in step 1. User can choose to decline or con鍖rm the job. In order to build a seamless matching process when connecting the clients and the providers, the app will only reach out to the active users from the service-end. Declining jobs frequently will idle/deactivate user status. When user declines the job, the ask-to- con鍖rm message acts like an Error Prevention in Norman-Nielsens 10 heuristics to warn the users about their active status. The noti鍖cations page where user review job alerts. Fold A preliminary design of the Caregivers User Account page If the user chooses to take the job a con鍖rmation message will be sent to the user to let the user know the address and time for the visit.
- 11. Product Prospect The demonstrated user 鍖ow presents a preliminary medium-鍖delity design of a single path of requesting and receiving a service. The two distinguishing platforms show the functions of the Opa app serves as the marketplace for a better user connection.油UX, engineering and user testings are required to proceed with its MVP development. Marketing Prospect Option one: independently run as a SasS business model Userbase of the caregivers can be built through the various job board, social media, etc., which is a similar process of hiring CNA and caregiver contractors in the current caregiving service industry. Userbase of the clients can be developed by partnering with senior living communities, the cities senior service centers across Southern California. Option Two: Sell the use of the license of the product to the caregiving businesses, and white label the product to allow customization in branding. 12