Falcon: User Study Advocating UX Processes

Falcon is a Fixed-Income, Currencies, and Commodities (FICC) management platform that empowers over 1,000 institutional quants and traders worldwide to query and analyse market data. Before the UX team joined, it had been purely engineer-driven for three years.

By consistently advocating for User-Centered Design (UCD) principles in collaborations, a product owner (PO) expressed interest in gathering user feedback on current features, giving me the chance to lead the first user research under the stream.

Company

HSBC

Year

2024

Duration

2 months

My Contribution

Stakeholder Advocacy

User Interview

Prototype

*For confidentiality purposes, names, data, and specific functionalities, have been modified or anonymised. The core process and outcomes remain accurate to reflect my contributions and learnings.

Facilitation

Plan for the First Study

To start, I drafted an initial research framework based on past experiences, then presented to BA/PO and refined based on their objectives and operational needs.


The Goal

After walkthrough the process and interview questions, we agreed to focus our initial study on users’ overall experience with the applications, platform, and IT support.

Facilitation

Plan for the First Study

To start, I drafted an initial research framework based on past experiences, then presented to BA/PO and refined based on their objectives and operational needs.


The Goal

After walkthrough the process and interview questions, we agreed to focus our initial study on users’ overall experience with the applications, platform, and IT support.

Facilitation

Plan for the First Study

To start, I drafted an initial research framework based on past experiences, then presented to BA/PO and refined based on their objectives and operational needs.


The Goal

After walkthrough the process and interview questions, we agreed to focus our initial study on users’ overall experience with the applications, platform, and IT support.

User Interview

Recruit Participants

To ensure a valid exploratory study with time constraints. I aimed to find 5-10 participants. To avoid bias, I recruited users:

  • From different regions (UK, UAE, France);

  • With varying Falcon experience (duration of use).

Recruitment involved posting invitations in user group chats and reaching out individually to targeted participants. Ultimately, I secured 7 users from the UK, UAE, and France with a variety of experience from 3 months to 5 years. Conducted 45-minute online interview sessions with each.

User Interview

Recruit Participants

To ensure a valid exploratory study with time constraints. I aimed to find 5-10 participants. To avoid bias, I recruited users:

  • From different regions (UK, UAE, France);

  • With varying Falcon experience (duration of use).

Recruitment involved posting invitations in user group chats and reaching out individually to targeted participants. Ultimately, I secured 7 users from the UK, UAE, and France with a variety of experience from 3 months to 5 years. Conducted 45-minute online interview sessions with each.

User Interview

Recruit Participants

To ensure a valid exploratory study with time constraints. I aimed to find 5-10 participants. To avoid bias, I recruited users:

  • From different regions (UK, UAE, France);

  • With varying Falcon experience (duration of use).

Recruitment involved posting invitations in user group chats and reaching out individually to targeted participants. Ultimately, I secured 7 users from the UK, UAE, and France with a variety of experience from 3 months to 5 years. Conducted 45-minute online interview sessions with each.

Analysis

From Data to Statement

After each interview sessions, I collected the data and conducted affinity mapping to translate the massive data to meaningful poins.

Analysis

From Data to Statement

After each interview sessions, I collected the data and conducted affinity mapping to translate the massive data to meaningful poins.

Analysis

From Data to Statement

After each interview sessions, I collected the data and conducted affinity mapping to translate the massive data to meaningful poins.

Prepare

STEP 1

Transcribed interviews and highlighted meaningful findings. E.g. the user's statement, interaction with Falcon and attitude.

Open Code

STEP 2

Code the findings with a short phrase, colour to indicate different individuals and border colour to indicate user's attitude.

Cluster

STEP 3

Group the codes in relation and name each group.

Insights

The Users

Based on the interview outcomes, I created personas reflecting the target users' responsibilities, daily collaborations, and workflows. Then I summarised their core expectations and pain points.

Insights

The Users

Based on the interview outcomes, I created personas reflecting the target users' responsibilities, daily collaborations, and workflows. Then I summarised their core expectations and pain points.

Insights

The Users

Based on the interview outcomes, I created user persona reflecting the target users' responsibilities, daily collaborations, and workflows. Then I summarised their core expectations and pain points.

Johnathan Moore

TRADER

"Great decisions need accurate data and smart analysis!"

Responsibility

Tasks

  • Risk monitoring

  • Make trade decisions

  • Revenue projection

  • Rate publishing

Associated Falcon Applications

  • Risk Report

  • Line Pricing

  • Bond Inventory

  • Rate Publishing

Collaboration Scenarios

With Other Traders

  • Share risk reports

  • Share Falcon workspace settings

With IT Team

  • Receive UI update information through Teams

  • Receive instructions/news through Teams/Email

  • Seek for IT support through Teams

User Experience Factors

Pain Points

  • Frustrations in customising the workspace layout

  • Difficulties in adjusting the data view

  • Challenges in accessing/learning some features

Expectations

  • More dimensions of the data insights

  • Be able to check the risk data evolution by charts

  • Login the platform in one click (e.g. SSO login)

The Product's Features

I created a feature heatmap that highlights appreciated functions, most requested additions, and frequent pain points. And used user quotes to make the outcome more convincing.

The Product's Features

I created a feature heatmap that highlights appreciated functions, most requested additions, and frequent pain points. And used user quotes to make the outcome more convincing.

The Product's Features

I created a feature heatmap that highlights appreciated functions, most requested additions, and frequent pain points. And used user quotes to make the outcome more convincing.

👍 RISK REPORT VIEW

7 OF 7 USERS LIKED

“If a new run becomes available, there will be a green star to show me the latest available ones. This is a great improvement because it’s much easier than going to the dropdown and manually select the latest.”

— Participant #1

😥 Get Hands On

3 OF 3 NOVICE USERS FRUSTRATED

“When I first log into Falcon, I would like to have a search button over here where I could write like ... But here, I first need to choose the layout. I need to name all of them... maybe I don't need to, I don't wanna name it.”

— Participant #5

😥 Exploring Functions

7 OF 7 USERS FRUSTRATED

“You know if I wanted to, I could just go and find those on my own right? [opened Add filter] So for example I can... just the the formula is a bit different, you know, this conditions, obviously… Interesting. I don't know how this work.”

— Participant #3

✨ Data Visualisation

5 OF 7 USERS WANTED

Visualise how data has evolved chronologically is considered as increase both efficiency and joy of use.

✨ More Data Dimensions

4 OF 7 USERS WANTED

Save manual adjustment, more granular breakdowns, tracing data change cross reports, horizontal data sorting, saving pivot view were mentioned.

Design Heuristics for a Better Falcon

For future development, I summarised 4 identified core design heuristics.

Design Heuristics for a Better Falcon

For future development, I summarised 4 identified core design heuristics.

Design Heuristics for a Better Falcon

For future development, I summarised 4 identified core design heuristics.

Actions

Backlog The Opportunities

From the affinity map, we collected valuable feedback and summarised it into a backlog.

Affinity map

Affinity map

Backlog of Opportunities

Backlog of Opportunities

Make Changes Happen

By balancing urgency, technical feasibility, and business goals, we conducted an in-depth investigation into some issues and addressed them. As a result, my user research project began to take shape. Here is an example of an implemented design:

Make Changes Happen

By balancing urgency, technical feasibility, and business goals, we conducted an in-depth investigation into some issues and addressed them. As a result, my user research project began to take shape. Here is an example of an implemented design:

Make Changes Happen

By balancing urgency, technical feasibility, and business goals, we conducted an in-depth investigation into some issues and addressed them. As a result, my user research project began to take shape. Here is an example of an implemented design:

This user research seemed straightforward but proved challenging: I had to win UX support in an engineer-driven environment, analyse data with limited tools, and prove its worth to the IT team. Even more daunting, while we polished surface features, some critical UX issues were deeply embedded in the system’s core—how I wished a UX team had been involved from the start!

This experience taught me the power of demonstrating my value and seizing opportunities. Next time, I’ll establish a sharper, more focused scope with stakeholders upfront (even if they’re eager to explore everything!). Armed with tools like online whiteboards for real-time user discussions and tagging for quantitative UX data, I’m confident future research can be both more efficient and richly diverse.

This user research seemed straightforward but proved challenging: I had to win UX support in an engineer-driven environment, analyse data with limited tools, and prove its worth to the IT team. Even more daunting, while we polished surface features, some critical UX issues were deeply embedded in the system’s core—how I wished a UX team had been involved from the start!

This experience taught me the power of demonstrating my value and seizing opportunities. Next time, I’ll establish a sharper, more focused scope with stakeholders upfront (even if they’re eager to explore everything!). Armed with tools like online whiteboards for real-time user discussions and tagging for quantitative UX data, I’m confident future research can be both more efficient and richly diverse.

This user research seemed straightforward but proved challenging: I had to win UX support in an engineer-driven environment, analys

e data with limited tools, and prove its worth to the IT team. Even more daunting, while we polished surface features, some critical UX issues were deeply embedded in the system’s core—how I wished a UX team had been involved from the start!

This experience taught me the power of demonstrating my value and seizing opportunities. Next time, I’ll establish a sharper, more focused scope with stakeholders upfront (even if they’re eager to explore everything!). Armed with tools like online whiteboards for real-time user discussions and tagging for quantitative UX data, I’m confident future research can be both more efficient and richly diverse.