AI-powered Personalized

Digital Companion

Meet the evolving learning needs of data science professionals in dynamic work environments.

By harnessing LLMs to analyze individual user requirements, we deliver tailored, relevant knowledge seamlessly integrated into daily workflows. This solution empowers employees to maximize their potential through personalized, efficient, and self-directed upskilling, fostering long-term growth and excellence in their careers.

Product

Bobolink is an AI-powered upskilling chat companion designed to provide bite-sized, context-aware learning materials during work roadblocks. Offering simultaneous access to tasks and learning content, it seamlessly integrates into workflows to ensure minimal disruption. Acting as a personal teaching assistant, Bobolink converses with users to deliver additional learning whenever needed, while smartly organizing information to allow precise navigation.

Research

Our research phase continues to play a pivotal role in shaping and refining our product, ensuring it meets the evolving needs of our users. We employed a multifaceted approach, including semi-structured interviews, surveys, and user testing with data science professionals at various levels. This comprehensive research allowed us to uncover key insights into users' learning needs, preferences for information delivery, and the challenges they face with existing tools. By analyzing this data, we identified critical pain points and opportunities for innovation. These insights informed the ideation and technical feasibility stages and guided the development of our MVP and subsequent iterations.

  • Aims to provide a comprehensive perspective by examining the business landscape of corporate learning, the current user experiences, and relevant research on learning sciences and organizational behaviors.

  • Our research, including interviews and surveys with 10 data science professionals, revealed a strong need for continuous learning in rapidly evolving fields like machine learning and big data.

  • The learning content addressing the challenges commonly faced by data analysts in their day-to-day tasks.

  • We conducted sessions with 5 entry-level data analysts/scientists, employing the concurrent think-aloud protocol and semi-structured interviews.

Meet the team

Siwei Jin

Jasper (Huqi) Liu

Ruiwei Xiao

Wanting Yang

Ruihan Cao

Manqing Yu