• About
  • Case Studies
    • T-REX - Navigation and Design System
    • T-REX - Entitlements & Deal Administration
    • Liquidnet - Action Stream
    • T-REX - Pre-Built Reports
    • Liquidnet for Good
    • Liquidnet - CMS Web Framework
    • Liquidnet - Fixed Income Solutions
  • Additional Work

Mercedes McGee - Product Designer

& Creative Thinker

  • About
  • Case Studies
    • T-REX - Navigation and Design System
    • T-REX - Entitlements & Deal Administration
    • Liquidnet - Action Stream
    • T-REX - Pre-Built Reports
    • Liquidnet for Good
    • Liquidnet - CMS Web Framework
    • Liquidnet - Fixed Income Solutions
  • Additional Work
 

Action Stream - Consolidated Desktop View

Liquidnet securely connects the world’s institutional investors with a comprehensive suite of solutions encompassing liquidity sourcing techniques, advanced analytics, and alert applications. Traders come to Liquidnet seeking block opportunities - this requires real-time, as well as pre and post trade analytics to navigate market movements and opportunities in the pool.


Role | UX Workshops, Ethnographic Field Research, Interaction Design, Prototyping
Partners | CMU - Capstone Project Team, PM Lead, Dev, BI Team

 
 
 
 

We know Traders were hiding the application due to limited real estate and Liquidnet was losing opportunities to capture additional trading shares. How can we get actionable insights into Traders hands if they are closing the application except for matches and high urgency alerts?

How Might We
Win share
of Traders’ attention & desktops?
Better understand users’ mindset while using Liquidnet?
Notify Traders to time-sensitive alerts?
Quickly adapt the alerts to individual needs?

UX Research & Insights:

With the help of a team from Carnegie Mellon University’s Capstone project, we gained invaluable feedback that allowed us to pinpoint the concepts and features that held the highest value for both Traders and Liquidnet relationship managers. Their research revealed insights about Liquidnet usage and confirmed some assumptions we already knew.

Leveraging the added resources from the CMU team enabled us to delve into many divergent solutions that may not have been explored.

More of their research can be found here.

CMU Team Trufflin

CMU Team Trufflin

As a Trader/Asset Manager

  • Must be able to communicate trade strategies and compile reports

  • Need to have a system gain credibility for its accuracy before they will use prompts

  • Want to optimize screen space - Liquidnet front-end is infrequently used

  • Don't want to miss out on new information or be overwhelmed with data analytics tasks

  • Want to seek out additional block liquidity while still keeping both sides anonymous.
    Based on the success of Targeted invitations - Allowing qualifying Members who opt in to do this is in high demand

  • Traders’ want to minimize the amount of time they have to spend searching for liquidity. Prompts like
    “BBBY on your watchlist experienced recent activity, Create Order?” would be extremely valuable - but with the alerts and FE minimized they could be missed

 

Liquidnet Advantages & Liabilities

 
 

Liquidnet's advantage

  • There is a historical preference for Liquidnet, the first dark-pool

  • BIDS and ITG give less data to traders and smaller avg. execution size

  • Liquidnet has the best liquidity as the first dark-pool and has harder to trade names

  • Recognizable match pop-up @Mid with ability for Negotiation

  • Recognized industry innovation leader
    with Targeted Invitations & Surge Capture specially designed order in the market for any unfilled shares immediately after an initial block executes

Liquidnet's disadvantage

  • Competitors have for a lower commission (cheaper trades)

  • Liquidnet's software is significantly more expensive and at the time there was no research offering

  • Pure Agency model - Limited to Trader spend (Can’t trade to pay for other services)

  • Competitors excel at algorithms and quick matches

 

Other key takeaways from the research:

  • Amplify High Urgency Alerts | Use high urgency alerts to prompt immediate action. Attention-grabbing alerts can be even more pronounced.

  • Utilize Color and Icons for Urgency | Implement a visual system using color and iconography to convey the urgency of information or alerts.

  • Customization and Grouping | Traders wanted greater control over their experience with the option for customization and grouping.

  • Dynamic Display of Importance | Ensure the platform intelligently and responsively highlights what's most important at any given moment, optimizing user volume and density of alerts.

  • Consolidated View Benefits | Both traders and relationship managers highly valued space-saving attribute

 

Actionable Alerts

An existing window dedicated to alerts provided a solid starting point for experimentation. We reimagining the alerts within the existing window to allow us to get ongoing feedback and incrementally enhance Traders’ workflows while leaving current workflows in place.

Important to note that the alerts window comes to the front for high urgency alerts

 

We tested prototypes with Traders and Relationship Managers, replicating the noise levels typically encountered in busy trading desks, to ensure that we could effectively cut through the clutter.

To eliminate external influences on the feedback, I oversaw training of our internal teams in interviewing techniques and procedures, ensuring that the outcomes were clear.

While the alerts were more recognizable and actionable, traders liked the density of the old alerts - we needed to optimize for both.


 

We also got feedback that:

  • We should use overflow methods to show controls/content on hover

  • Add the ability to copy the alert for end of day reports

  • Group of alert types & alert history

  • Add the ability to see if you took actions




 

With several rounds of feedback in place for this phase of the alerts, the next step was to start work on a consolidated view to gain desktop share.

Based on usage statistics and user feedback we decided to use an order monitoring system we already had in place as a basis for the consolidated view. It allowed us to add sections and get feedback while keeping the original workflows in place during adoption. We also had the benefit of prior testing of consolidated views to work off of - so we knew we were going in the right direction, or at least not the wrong direction! We provided some initial sketches of the consolidated view for the CMU team to iterate on and gather feedback.

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Prototypes in showcased the seamless integration of features. Traders and relationship managers were particularly impressed with its space-saving efficiency and user-friendly navigation. The business team was excited about the ability to activate or deactivate modules based on user preferences or specific offerings, paving the way for monetization.

 
 

The “final” step in this process was to suggest and agree on an phased implementation plan between product and dev - knowing we would have to incorporate findings along the way.

Phase 2

Phase 3