Problem Statement
Byju's sought to leverage AI and machine learning to improve student engagement, personalization, and overall learning experience within their virtual classrooms.
Solution
• Developed a framework to identify key AI bot roles for increased student engagement.
• Prioritized initial use-cases and designed interaction flows and UI for a mascot-based bot.
• Prioritized initial use-cases and designed interaction flows and UI for a mascot-based bot.
My Role
• Led the UX design for the project.
• Conducted research and facilitated brainstorm sessions.
• Created the AI bot framework.
• Collaborated with product managers to prioritize features.
• Led the art direction for "Sparky", the mascot-based bot.
• Conducted research and facilitated brainstorm sessions.
• Created the AI bot framework.
• Collaborated with product managers to prioritize features.
• Led the art direction for "Sparky", the mascot-based bot.
Design Process
Research & Ideation:
• Brainstorm sessions with the team to explore AI's potential within Byju's class sessions.
• Analyzed ideas and identified three key bot roles.
• Brainstorm sessions with the team to explore AI's potential within Byju's class sessions.
• Analyzed ideas and identified three key bot roles.
Framework Development:
• Created a framework for AI bot intervention, providing clarity for future use-case identification.
• Created a framework for AI bot intervention, providing clarity for future use-case identification.
Use-Case Prioritization:
• Used effort vs. impact matrix with product managers to select initial use-cases.
• Used effort vs. impact matrix with product managers to select initial use-cases.
Bot Design & UI:
• Art directed "Sparky" – a mascot bot with animated loops to enhance engagement.
• Designed interaction flows for FTUE and doubt-resolution use-cases.
• Art directed "Sparky" – a mascot bot with animated loops to enhance engagement.
• Designed interaction flows for FTUE and doubt-resolution use-cases.
Initial Use-Cases
FTUE (First-Time User Experience): Sparky welcomes and guides students through onboarding.
Doubt Resolution: Sparky encourages students to ask questions and directs them to the class forum.
Polls: Sparky prompts poll participation for increased interactivity.
Outcomes
Strategic AI Integration: The framework provides a clear blueprint for future AI enhancements.
Increased Engagement: Sparky, with its friendly animations, aims to boost student interaction and enthusiasm.
Data-Driven Refinement: Staging trials will gather insights to fine-tune Sparky's interactions for optimal impact.
The set of initial use-cases are developed and currently on staging using the above shown animated loops. After the trial run is done with free users, Sparky experience will be fine tuned and integrated.