Mo Jahangir Design

MoJahangir
*Design

Core

Deliverables

User testing report, Affinity map. Wireframe, UI, Prototype

Role

UX designer, User interface/interaction designer

Market

US | Pilot: Oct 2020

CORE, an AI-powered Cognitive Intelligence Machine, gives companies and developers a foundation for data hygiene and enrichment. CORE integrates all data sources and stores them in one location then structured them to make a descriptor of the data. CORE is the power of artificial intelligence, cognitive science, and text analytics, all in a single platform.

Challenge

Goals
& Metrics

I worked with a team of front-end developers and researchers. By building a responsive web experience for “Core”, we hope to:​

Lo-Fi
Wireframe

After reviewing the UI sketches, I translated finalized ideas into Lo-Fi wireframes and built the clickable prototype for validation testing. One of the biggest challenges we had was – whether to keep or remove alternative navigation to each section.
The client believed it was important to keep the past design pattern as it is useful for them to use old documentation and makes their training path more convenient. However, the validation testing proved 4 out of 10 users were confused by multiple paths and had no idea what it means. After rounds of discussions, we came to an agreement to merge all paths into one while keeping all properties in one place. It avoids confusion when the user working with multiple documents, reading the results while keeping the information available when it’s needed.

Hi-Fi
Wireframe

After validating our Lo-Fi prototype and making a few iterations, we moved into the Hi-Fi phase. Taking the web-first approach, I started the responsive design with the web which has the most limitations to best understand essential features, then translated the design into larger devices. I created Hi-Fi assets for adding documents, navigating, text analysis tools, searching and loading results. Also, I explored clean design opportunities to enhance the experience while users working with multiple and complicated documents to see the result.

Clickable prototype:

Research process

To understand similar products on the market, I did competitive studies and analyzed their UVP (Unique Value Proposition), helpful features, and common user complaints. Also, to enhance user experiences, as a real user I explored deeply into their products.

Validation

We conducted validation testing of the desktop clickable prototype with 10 actual users. Below is a summary of the findings:
1. Find product easy to use, and clear to navigate.
96%
2. Understand how to upload multiple documents, organize them in the proper folder with no problems.
92%
3. Understand to find and use Insight page without confusion.
89%
4. Find the text analysis tools section clear to understand, read, and easy to use.
93%
5. Would recommend the site to the teammate and it is easy to train them.
95%

After Thoughts

With the web re-design, we are able to significantly improve the site clarity, navigation, and mobile experience. For future improvement I have a couple of suggestions: