interviews

affinity map

After conducting user research and gathering relevant information from each prospective user, we created a user persona. In developing the persona, we considered factors such as goals, frustrations, activities, and skills to ensure a comprehensive understanding of our target audience.

Following the conclusion of the user research phase, the team transitioned to brainstorming ideas. Every member of the product team engaged in this collaborative process, working together to devise potential design solutions aimed at resolving users' issues. Each team member offered input on dashboard features, enabling collective voting to identify the most promising concepts.

In order to initiate the dashboard design process, it was crucial to conceptualize the flow initially. The primary objective was centered around a single task for users: searching for clinical trial data, whether with or without the use of filters.

The subsequent phase involved crafting wireframes to illustrate the placement and approximate appearance of interface elements. This procedure yielded a blueprint outlining the structure, layout, information, and functionalities of the dashboard. Consequently, it afforded us a clear understanding of both the operational aspects and visual depiction of the dashboard.

The style guide for this project embodies a sleek and user-oriented design. Employing a minimalist approach directs attention to essential information and fosters intuitive comprehension of content relationships. Additionally, the design incorporates icons to ensure visual coherence and user-friendliness.

To enhance usability by reducing cognitive load, we developed an interface that prioritizes information through monochromatic elements. This design choice helps users make quicker decisions and emphasizes important content. The layout focuses on minimizing user attention, preventing them from feeling overwhelmed by the information presented.

For the usability test, we selected 6 research scientists of varying genders and ages. Despite the dashboard primarily serving the purpose of searching for past clinical trials, each participant was assigned a set of tasks with variations in filtering options, such as selecting specific start/end years or choosing a particular therapeutic area.

outcomes

After conducting usability testing with each participant, we identified one minor element that was subsequently removed: the 'high-confidence only' switch in the predictions section. As every research scientist expects the most precise prediction statistics, it became apparent that nobody would be interested in a less informative option, rendering the switch unnecessary.