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Our Client

As the foremost dark-pool trading platform, Liquidnet has led the way for privatized and anonymized trading. Institutional investors like banks and insurance companies rely on Liquidnet for liquidity. Beyond simple trade execution, Liquidnet's technology focuses on providing alpha and trading opportunities. In turn, this connects and empowers traders to achieve their best trades possible.

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Our Project

In the scope of this project, Liquidnet aims to do the following: better understand the state of their many users while using their product, especially when dealing with time-sensitive alerts; define ways to understand their user’s behaviors and needs and translate needs into targeted content; and finally, explore the complexity of technology and data-driven design in the development of new products.

7

MONTHS

3

PHASES

11

CONCEPTS

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Our Process
Research Phase
Our generative research focused on understanding the financial sphere and the complexity of trader’s lives, particularly in institutional trading.
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Conceptual Phase
After conducting a variety of research activities and synthesizing findings, the team defined opportunity areas and began creating design concepts.
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Design Phase
After settling on viable concepts, our team moved into designing prototypes and guidelines for alert design. Prototypes were tested onsite and remotely.
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Our Team
We are five Carnegie Mellon University students studying in the Master of Human-Computer Interaction program in School of Computer Science. To find out more about us and our roles within the project, please visit the About page.

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