Boosting subscriptions by 23% in 3 months
subscription growth in 2 months
faster outreach with AI messaging
higher interview chance
PROBLEM
Job seekers face inefficiencies when searching for internal referrers, writing messages, and tracking responses on LinkedIn
To gain deep insights into the challenges job seekers encounter when finding potential referrers, I conducted 20 in-depth user interviews. The insights played a crucial role in identifying areas for improvement and defining strategy to address users’ needs effectively.
Using personas to convey user archetypes to the entire product team ensures a shared understanding. Now, we can define strategies based on these insights.
strategy
AI-driven referrer recommendation and message generation, with a clear outreach process overview
To ensure a user-centered and efficient design, I held working sessions with the CEO and CTO to define design strategy. This strategy serves as a structured framework for addressing design challenges and aligns our vision.
Smart referrer recommendation
AI powered message generation
Clear outreach process overview
validation
Validating idea with low-fidelity prototype
To validate idea and establish design direction, I created low-fidelity wireframes to test with 10 users. A resounding 90% of the tested users expressed their eagerness to witness it in action.
Getting the idea validated with a low-fi prototype. Now we can dive into details of user interaction and interface design.
Solution
Making referrer selection easy
As the first step, I wanted to ensure that users could add referrers efficiently and easily. I explored various approaches and eventually narrowed it down to two options. I then conducted user testing with 10 participants to determine user preference.
Option 1: Adding referrers one at a time.
Option 2: Adding referrers all at once.This option had a 20% less completion time, providing a great directional data point. Users prefer to select multiple referrers by default.
Designing a way to guide users
With easy selection of referrers, I want to make sure users can complete the following steps seamlessly, from generating tailored messages to sending them.
I explored two options for guiding users and conducted user testing to determine effective user guidance approach.
Option 1: Enabling only the buttons necessary for the current step and disabling the unnecessary ones. This approach is intuitive and straightforward for our users, not only saving development effort but also provides more real estate for referrer selection.
Option 2: Adding a progress indicator to guide users. The testing session revealed that with this addition, users' task completion time increased.
Providing a clear overview of outreach process
To ensure users stay informed about the process of their outreach efforts, I explored solutions allowing them to access data easily.
Starting with tab navigation similar to the main menu. but user testing found this navigation text-heavy and visually unclear. I went back to the drawing board to address these concerns.
Introducing clickable data card to view details and improving visual hierarchy. Users responded positively to this approach.
impact
Strong business traction
Subscriptions grew by 23% within two months of launch, showing clear market demand.
Fast and effective connections
82% of users connected with a referrer in their first session
Outreach completed 40% faster with AI messaging
Delighted users
9 out of 10 users said they would recommend Tuilink to a friend.
"The automated message generation is a game-changer. It makes reaching out to referrers a breeze."
— Aurora, Tuilink user
