Application of Behavioral Design Strategy for Improvement of Student Enrollments Under Various Programs in Universities
摘要
Various data analytics services such as Google Analytics and Amazon Alexa, are helping strategists and web designers to understand the interactive and navigation behaviors of target users visiting various websites. Sometimes universities have no clue because the conversion rate for student enrollment is very low even though a huge number of the crowd is visiting the university website. User experience designers might help in such scenarios through various UI Design interventions for university websites. The goal of this paper is to find out the visiting rates of different university websites offering similar types of programs and deriving User Interface and User Experience strategies to improve the student enrollment status (conversion rate). For this purpose, five university websites (top private universities in India) have been chosen, and the current status of web traffic and navigation behavior was analyzed using the Amazon Alexa web ranking framework. The top-visited university website and the least-visited university website were identified based on Alexa Web Analytics data. Then, the strategy for UI and UX design was derived based on brainstorming with five UX and UI Design experts to improve the number of visits to the university website which has a higher ranking and a smaller number of visits. Persuasive interactions like rewards (various scholarships: domicile, girls’ scholarships, other merit scholarships), proactive chatbots, search engine optimization, and social media marketing came up as better strategies based on the strategy ratings given by experts. It is envisaged that these strategies will help to improve the student enrollment rate for the university which has websites with fewer visitors.