Overview
Learners studying Professional English with Slang lacked confidence in their learning progress, often asking, “Where do I start?” and “What should I study next?” Further research revealed that this lack of confidence contributed to diminishing learner engagement. So we decided to dig deeper and uncover the core problems.
I created discovery frameworks then gathered the team for a workshop to build a shared understanding and align on a vision. This led us to identify several key problems areas, which we categorized into themes and transformed into opportunities.
Guided by these themes, we set out to improve the learning experience by adding more structure, clear guidance, and simple progress tracking.
Solution
At the core of Learning Paths are Programs, clearly structured sequences of General English or Professional courses with automated assignment and visible progress tracking.
As lead designer for the project, I provided guidance for the Learner platform implementation while designing the end-to-end experience for the Learner Management System (LMS), our Enterprise platform.
Program library
Visibility and context are key to the Manager experience, so I made sure that managers can easily find and understand the content that their learners are studying and which ones are actively studying it, right in the LMS.
Learner profile
I mapped out the interactions so that managers can quickly zoom in from the high-level organization to the individual, providing them the ability to track progress at a granular level and manually add programs to a learner's queue.
Onboarding
Professional programs are automatically assigned to learners based on their role, so selecting a role is an essential step to a comprehensive and personalized experience. We decided to add this step to the onboarding process, ensuring that learners begin their learning path with a Professional program assigned.
I designed a flow that makes it dead simple for learners to add their role details and instantly receive an assigned program.
Outcomes
The goal from the outset was to add a structure where there was none, rather than focus on moving quantitative metrics. Improving retention was a desired outcome; however, given the variety of factors influencing churn, we knew it would be challenging to precisely measure this project's direct impact.
We did collect qualitative data via feedback directly from users, our support team, and our customer success teams, all of which was very positive.