Zenklub is a mental heath platform that allows users find therapists for online sessions. There was a problem with user engagement in sessions. Many users don't schedule the first appointment, and many who do, don't continue in the following ones. This project is an improvement to the overall scheduling flow
Zenklub is a mental heath platform that allows users (b2b & b2c) find therapists for online sessions.
There was a problem with user engagement in sessions. Many users don't schedule the first appointment, and many who do, don't continue in the following ones.
It's important to ensure that the experience of scheduling the first therapy session is great, to retain and engage.
Problem:
Many users don't schedule the first appointment, and many who do, don't continue in the following ones.
Goals:
Understand users' behavior in the scheduling process. What are the main problems and frustrations?
For the user:
An easier way to decide the best suitable specialist and schedule a therapy session.
For the business:
More users scheduling sessions and coming back for the next ones.
Contextual Interviews with b2b and b2c users (app & web) to identify behavior, frustrations, and feedback related to the entire scheduling process while they walk us through it (12 participants). We also Interviewed 5 professionals (therapists) to understand their relationship with patients and their behavior profile.
Due to contextual interview it was possible to understand how users interact with the platform and wha were the struggles and pain points while they navigate. It was also possible to identify some misconceptions they had about some elements and copy.
Based on the interviews we identified the user journey and how they feel throughout the process of scheduling an appointment.
Once we gathered all the insights we were able to map the opportunities identified alongside with stakeholders, and prioritize them based on how important it was for the user and how complex it was to build.
Searching for a specialist: It's important to have a record of the professionals of interest. Education level, gender, and age can be relevant criteria when choosing
Filtering: Some filters are “hidden” and not used. It's important to be able to search for a specific timeframe
Analyzing Profile: Professionals who have a video commenting on their approach are more attractive. Viewing and analyzing schedules is not practical (the day of the week is more important than the date)
Missing info: Personal information and experience are missed in the analysis of the professional profile
Ratings: The rating itself is less relevant than the quantity and content of the comments. The amount of reviews serves as "validation". A more objective form of evaluation would facilitate comparison
Reviewing: Some users don't review because they don't want to identify themselves. Most forget to review
With all the context stablished, we began the design phase building the wireframes for the main screens of the flow: Search List and Specialist Profile
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