Redesigning the Teacher
Experience

Hurrey has Admin, Teacher and Student logins. This case study focuses on the teacher experience.

I was the sole designer from start to finish, collaborating with others throughout the project.

Teachers struggled to use the application at one go. Even simple flows created doubts and confusion.

The existing experience also had opportunities for improvement in information architecture and functionality.

I explored an application tour during onboarding. Onboarding is the one flow where a user is expected to move through a linear path, making it the right moment to introduce the application.

Hurrey was adding more AI features, including recommendations based on prerequisites and performance at class and student level, AI attendance and other intelligent classroom capabilities.

The product needed to communicate its AI SaaS positioning without affecting usability.

The dashboard dynamically reflects the teacher's current class based on assigned classes and time or period. I emphasized AI recommendations and surfaced tools that help teachers teach, manage and maintain the class.

Each card needed to be valuable and informative, helping teachers make decisions at a glance. Metrics show syllabus progress and performance from assessments, exams and concept understanding, including percentage increase or decrease.

AI recommendations were brought out of the class view so they could be seen earlier. AI attendance using facial recognition was also surfaced at both class and student level.

Compared with the previous design, dashboard engagement increased because teachers could view and edit more details directly.

Hurrey Konnect turns a normal TV into a Smart Class TV. Teachers can cast learning aids while the device connects to the app.

The old Konnect experience used a floating menu that hid features. A dedicated screen made the product's potential and features visible.

The redesign made device connection status visible, allowed the whiteboard to mirror mobile to TV, clarified supported file formats and introduced class or subject-specific features. For example, a math solver could be shown specifically to a math teacher.

Separating the dashboard and Konnect also created a clearer product model and improved teaching efficiency.

The class view was the most cluttered area of the application. Teacher testing showed that users struggled to navigate it, so I gathered information from teachers in different schools.

The old experience created confusion between Syllabus and Insights even though they contained similar information. Teachers had to move through multiple steps to understand the class, switch between syllabus and insights and inspect students.

The interface was cluttered and lacked information architecture.

I iterated through different layouts and selected the final structure based on clarity and usability. Class performance was brought into view at a glance, reducing the number of steps needed to understand what was happening.

AI recommendations at topic-level performance helped teachers make decisions. Teacher notes and homework could be added directly, with the potential for notes to evolve into a lesson planner.

Cross-subject performance broke the silo between subjects and showed the broader class standard.

The syllabus tab enables teachers to view, edit and map content while seeing chapter-specific performance data.

A period prediction estimates how many periods may be needed to complete a chapter based on performance and knowledge-grasping capacity.

The goal was to introduce innovative features that make learning fun and easy while ensuring concepts are learned correctly.

Academic and non-academic data ultimately ends up in the student profile. I designed sections so future sections could be added.

AI recommendations received more emphasis in the profile. The class view was categorized based on information architecture to make it more accessible.

The universal card design decreased cognitive load, remained visually appealing, was easy to scan and emphasized important data points.

I interviewed teachers regarding the new AI and application functionalities. I explained how the app works and asked their opinion on the new and old versions.

The testing also helped me understand how teachers think about lesson planners and Konnect usage, while revealing upcoming feature opportunities.

I used AI to explore ideas, challenge interaction patterns, structure complex information and accelerate repetitive design work.

I remained responsible for product direction, UX decisions, design iterations and validation with teachers and the team.

• Learned more about backend processes, percentages and data points.
• Teacher interviews revealed opportunities around lesson planners and Konnect usage.
• Discussing upcoming features helped shape the product foundation for future capabilities.
• Improved my WCAG and accessibility knowledge. The project passed WCAG 2.0 compliance.

The biggest learning was that AI features only create value when they appear at the right moment and are presented in a way teachers can understand and act on.