UX DESIGNER
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Intel Dashboard: Rapid Prototyping

Intel Dashboard

Rapid High Fidelity Prototyping

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Problem:


Designing a dashboard that would show users their prioritized stats in a clear and concise way to be used by the company internally.


Solution:


A dashboard with clean UI that highlights main user concerns like initiative status, categories, and Implementation status on the home tab while giving users the option to dig deeper with additional tabs.

Scope:


This was a quick side project done in 2 weeks as the sole UX Designer. I collaborated with one developer who built out the designs using Power BI

Methodologies & Deliverables:


Product owner interviews, high fidelity wireframes and prototype created using Figma

 

UX Process

My UX process consisted of working alongside the developer and stakeholders and having Webex meetings on expectations and main user pain points communicated by the stakeholder. I was given the below key guidelines and excel sheets of the data.

The dashboard must contain at least 4 tabs; one homepage, one “ADM” tab, one “ITI” tab, and one detailed reports tab.

The users want to see the ideas by quarter, implementation status, idea type, and initiative categories

The user must be able to filter by quarter and ADM/ITI on the homepage

 

High Fidelity Prototype Screens

Throughout the few weeks, many updates of the dashboard were made in order to meet all criteria, some different versions of the homepage UI are shown below.



What I Learned

This was my first time creating a dashboard. It was challenging to understand all the data involved in the short period of time that was given and how to present it in a way that made sense to the user. I also used real data to create the prototype so it was challenging figuring out how to create pie charts and graphs for the interface. I definitely would’ve liked to do more user research or interviewed users if time allotted. It was also a challenge to work with the limitations of Power BI as that’s what the developer was working with to create the dashboard. A few screenshots of what this looked like in Power BI are below. Please keep in mind this is a work in progress and there are many iterations. While the UI doesn’t look exactly the same, all the charts and graphs represent the correct data I designed.