P'bot
A self-help therapist takes great care to provide you with personalized recommendations based on your responses. It addresses mental health and wellness by monitoring its user’s mood and need.
DESIGN FIELD
UX/UI DESIGN AND RESEARCH
ENTREPRENEURSHIP CONCEPT PROJECT
WEB & MOBILE
6 MONTHS
Phase 1
Kick-off workshops
We ran multiple UX workshops with the company’s team to gain a deeper understanding of their problem and needs regarding its market, customers, and broader strategy. We support this process with our well-structured templates and frameworks.
We narrowed my research area down through the NHS Mental Health Monthly Statistics and clarified the problem specifically. Mixed anxiety & depression is the most common mental disorder in Britain, with 7.8% of people meeting the criteria for diagnosis. 4-10% of people in England will experience depression in their lifetime. I decided to create a tool to help people to feel better psychologically in everyday routines.
Phase 2
Discovery
So far there are several classic online mental supporting tools, such as meditation apps (e.g. Headspace) and mood-tracking apps (e.g. Optimism), as well as human in-person therapists and the quickly growing field of online human therapy over video-chats. The competitive (and complementary) landscape thus includes alternatives ranging from free to expensive, low-intensity to high-intensity, and quick to time-consuming. So my research applied to products from the field of supporting mental health with a focus on cognitive-behavioral therapy and the target group of over 18 years of age.
The creation of competitive profiles (in terms of marketing strategy, target market, core business, usability, layout, compatibility, content, design, and performance) together with SWOT analysis helped to assess current offers in this area.
Phase 3
Wireframing & Prototyping & Iterating
Our design team created initial wireframes while gathering inspiration. We linked the prototype and tested it with the company to get approval on the main user flow and the content of the tool in detail. Then we iterated this on a weekly basis and finalized this phase through feedback.
Phase 4
Low Fidelity & User Testing
As the weeks passed, all problems were tackled one by one. In the final weeks, the prototype with low fidelity interfaces was designed to adhere to shared branding guidelines and tested with users.
Finally, our designers iterated the last version of the design with the company’s product team and after a few rounds of feedback, applied the final revisions to the interfaces.
Low Fidelity & User Testing
As the weeks passed, all problems were tackled one by one. In the final weeks, the prototype with low fidelity interfaces was designed to adhere to shared branding guidelines and tested with users.
Finally, our designers iterated the last version of the design with the company’s product team and after a few rounds of feedback, applied the final revisions to the interfaces.
'' It is a therapy tool helping its users monitor their moods and learn about themselves. Using a combination of natural language processing, carefully detecting real-time data of physical condition, a sense of humor, and psychological expertise – primarily in Cognitive Behavioral Therapy (CBT), the P-BOT helps its user when they feel bad psychologically. It then stores all data and conversations and its therapy sessions and responses become more specific over time, referencing the previous situations. Like a secret but helpfully supportive friend and companion with you all the time.''
Phase 5
Final Submission
We exported and shared the final design deliverables which have all the specs and are ready to implement at the end of the UX design process. These deliverables included all the screen designs, different states, and edge cases. Our design team also created a UI kit with clear guidelines and rules that help to keep consistency when implementing the product.
