Censio is a platform that conducts personality tests for students. Once students take part in this test, colleges and universities use the personality matrix or score to recommend courses.
C360, Censio’s personality test, has its roots and fundamentals from rigorous academic research. C360 also leverages the power of artificial intelligence (AI) and other advanced modern-day science techniques to deliver optimal results.
Censio had already removed one major obstacle from their course right when they had kick-started their campaign. Instead of relying on and using human-created standardized personality tests, Censio focused on using AI in their process. This is because human-created tests tend to get structurally biased.
Censio realized they had to create a system that was fair and unbiased and gave every individual an equal opportunity, irrespective of their background. Hence, they chose AI technology to reduce human-generated bias and improve fairness and prediction accuracy.
However, like any platform and application, even Censio faced a few challenges that required attention. These challenges included,
Allowing students to request and schedule meetings with educators and experts during the course when they have doubts and queries
Streamlining the user onboarding and assessment process to achieve minimum interactions and touch points.
Assisting experts and educators to
manage multiple students at a single time
Recommending students a suitable and relevant course based on their personality assessment scores
When Censio came to us, the first step we took to arrive at a solution was thoroughly understanding their requirements and business model. We conducted a series of activities to accomplish this initial stage.
To begin with, we jotted down a list of Censio’s competitors who offer similar services in the market. We then conducted a lot of research on these competitors to understand their approach, solutions, and functionality. This step helped us create a pros and cons list of their features that would help us arrive at the most optimal solution for Censio.
The next stage involved sitting down with Censio’s stakeholders and learning about C360. We conducted workshops and informational discussion sessions to ensure the smooth and timely execution of this stage. These sessions helped us tick quite a few boxes such as,
Understanding Censio’s pain points and their overall business model and functioning
Deciding on the flow of the entire process and setting up guidelines
Brainstorming & discussing ideas that would help in achieving the desired solution
After the preliminary stages, we gathered all the ideas given by our team and Censio’s stakeholders and then proceeded to the next step - bringing all these ideas to life.
We developed an application that addressed each challenge Censio faced while also keeping everyone’s ideas and perspectives in mind. Once we catered to each pain point and user persona, we revised and developed a flow in accordance with the current UI/UX trends (User Interface/User Experience).
The goals that this application accomplished included:
• Successfully and fairly assessing students without any bias.
• Using the scores from the personality assessment to recommend courses.
• Giving students access to experts for counseling sessions.
• Assigning the student to the relevant faculty member or expert and scheduling meetings for the course.
• Allowing the admin or higher authority to manage all the courses, students, and educators.
For complete transparency throughout each stage, we held weekly calls with Censio’s stakeholders to constantly update them on the progress. These weekly calls also allowed Censio to pitch in their inputs and insights, which we then used to make changes to the application.
After all the features, personas, and user flows were designed and ready, we created several iterations of low-fidelity and high-fidelity wireframes and mock-ups. We then presented these iterations and wireframes to Censio.
Censio’s stakeholders then finalized one iteration with the most suitable functionality and UI/UX. The style scrapes and color schemes were also finalized.
We stuck to this version and fine-tuned the application and flow. A final review meeting was later conducted. Once Censio approved the final version of the application, we handed over all the assets to them.
Censio is already ahead in terms of effectiveness due to reduced bias. The application further enhances Censio’s platform through an easy user onboarding process and better app functionality.
With possible future improvements in the pipeline that will help improve the application’s functioning and make it more streamlined, we strive to continue our work and relationship with Censio, so they can help students discover themselves better.
Product designer - Mandar Kshirsagar
UI designer - Rumana Shaikh
Project manager - Shardul Durge