Redesigning Learning Preferences to Drive Personalization
Background
Binar App has keep grown as well-known learning platform for professional and career shifters also students from universities. It has shown the new install rate is increasing constantly from quarter to quarter (48% from Q1 to Q2). However, as the installation grow up we face a uninstall problem.
After we deep dive into the data, we find 45% users, who just installed our app, decided to uninstalled it just in a week after visited our main homepage.
Registered or unregistered user will see our main homepage as a first screen for their information about the Binar products and events
My Role
- Senio Product Desiger
- Led qualitative research
- Conducted usability testing
- Iterated with engineering within sprint constraint
- Timeline: 2 weeks (Q2 2022)
Impact
Within 1 month post-launch:
+49%
reduce the drop offs
+23%
Increase premium purchase
This demonstrates that personalization, when visibly applied, can simultaneously improve retention and conversion — turning onboarding from a friction point into a monetization driver.
Research
Current Flow and Design
During the initial phase of the project, I conducted research with users who had registered but later chose to drop off and uninstall the application.
Below are some of the key feedback insights gathered from those interviews:
Implementations
Topic Preferences
To better reflect this mental model, we restructured the onboarding sequence by placing Topic Selection ahead of Learning Method Selection, creating a more natural and user-centered decision flow.
Learning Method Preference s
Homepage
Impact
Within 1 month post-launch:
+49%
reduce the drop offs
+23%
Increase premium purchase
This demonstrates that personalization, when visibly applied, can simultaneously improve retention and conversion — turning onboarding from a friction point into a monetization driver.