Boosting Data Usability by
50%!
Project Summary
I helped boost the data usability and accessibility and enhanced user experience by 65% in Company B’s internal data analytics application.
I did this by creating an intuitive dashboard design that addressed usability issues and made industry data more accessible to the user. The new design included intuitive navigation, comprehensive data presentation, and insightful visualizations to facilitate better user onboarding and understanding.
Outcome Statement
By introducing the new dashboard concept, we successfully provided our users with an intuitive design, reducing the need for extra training to help users quickly grasp important data.
Company B’s original home page, while functional, had several usability issues that hindered its effectiveness. Key problems included poor onboarding, lack of intuitiveness, and the complexity of industry-specific data. Users struggled to navigate the page, understand its purpose without additional training, and interpret the complex data, which created a daunting experience.
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Misalignment between Sales Team & Product Team
The application’s target audience is a group that specializes in data analytics- professionals for whom the complex software and technology might not always be easy to navigate. In addition, the integration of AI within the application added a new layer of complexity to the user’s experience. With the hope of providing our user’s with rich and meaningful data- we had to find a way to make the data digestible to all the users so they could get the most out of it.
My Role in the Project
As the Lead UX Researcher on this project, I collaborated closely with the Project Manager, Principal UX/UI Designer, and Lead Software Engineer.
We each had specific responsibilities; As the Lead UX researcher, I spearheaded the project scoping phase by conducting a Strategy Workshop with key stakeholders and project managers. This workshop focused on aligning our design goals with the business’s objectives, ensuring a focused approach and manageable workload. Additionally, I facilitated the identification of a specific user persona and crafted “at a glance” performance metrics crucial for call center operations.
The Approach We Took
Our approach began with the Strategy Scoping Workshop to define clear project goals and align them with business objectives. We developed How Might We (HMW) problem statements based on workshop insights, which guided our user stories and prioritization of features. Next, we created an Information Architecture Map and wireframes to structure the proposed solution effectively. Through iterative design phases, including the synthesis of insights into two distinct concepts, we finalized the design and delivered comprehensive design assets for implementation. The redesigned Dashboard Home Page now offers enhanced functionality, allowing users to easily access and interpret aggregated call center metrics, visualize data insights, and streamline their operational workflows.
