Ava Yoo

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Bitget

PRoblem

PRoblem

Biased Performance Signals in Copy Trading and Alert Fatigue

User research revealed a transparency gap in Bitget’s copy trading, where high ROI are emphasized without clearly explaining differences in capital and risk between traders and copiers. At the same time, excessive, non-prioritized alerts overwhelm users and make it difficult to identify truly critical trading signals.

User research revealed a transparency gap in Bitget’s copy trading, where high ROI are emphasized without clearly explaining differences in capital and risk between traders and copiers. At the same time, excessive, non-prioritized alerts overwhelm users and make it difficult to identify truly critical trading signals.

solution

solution

From Inflated Win Rates to Real Transparency

We enabled in-copy-trading communication so users can understand why a trader made specific strategic decisions, and revamped alerts by prioritizing them and using color cues, allowing users to instantly recognize which signals require immediate attention.

We enabled in-copy-trading communication so users can understand why a trader made specific strategic decisions, and revamped alerts by prioritizing them and using color cues, allowing users to instantly recognize which signals require immediate attention.

Duration

Duration

7 weeks

7 weeks

Project Type

Project Type

Team project -

2 Designers

Team project -

2 Designers

My Role

My Role

Research

BI Design
UI Design

Design System

Prototyping

Visual Design

Interaction Design

Usability Testing

Research

BI Design
UI Design

Design System

Prototyping

Visual Design

Interaction Design

Usability Testing

Background

Background

After Liquidation, Copy Trading Seemed Safe..
But Was It?

After Liquidation, Copy Trading Seemed Safe.. But Was It?

My interest in copy trading began after my first futures trading experience ended in liquidation. Copy trading allows users to automatically replicate the trades of experienced traders, often presented as an easier and safer entry point for beginners.


After losing money in a highly volatile market, copy trading seemed like a safer alternative, promoted as a way to follow experienced traders. However, traders were primarily ranked by high ROI, which could lead beginners to expect similar returns. This raised a key question: does this performance truly reflect real user outcomes?

My interest in copy trading began after my first futures trading experience ended in liquidation. Copy trading allows users to automatically replicate the trades of experienced traders, often presented as an easier and safer entry point for beginners.


After losing money in a highly volatile market, copy trading seemed like a safer alternative, promoted as a way to follow experienced traders. However, traders were primarily ranked by high ROI, which could lead beginners to expect similar returns. This raised a key question: does this performance truly reflect real user outcomes?

Core Challenge

Core Challenge

How might we help crypto beginners understand which information matters, so they can act with clarity in complex trading situations?

How might we help crypto beginners understand which information matters, so they can act with clarity in complex trading situations?

Final Preview

Final Preview

Focusing on Strategy Visibility and Alert Priority in the Final Interface

We focused on revealing trader strategy and context before users decide to follow, reducing reliance on surface-level signals.


We structured the experience across three key flows, along with a prioritized alert system, to support more informed decisions and timely responses in fast-moving markets.

We focused on revealing trader strategy and context before users decide to follow, reducing reliance on surface-level signals.


We structured the experience across three key flows, along with a prioritized alert system, to support more informed decisions and timely responses in fast-moving markets.

Final Design Preview

Final Design Preview

Empathize

1-1 User review

1-1 User review

Bitget Prioritizes Attraction Over User Understanding

User reviews revealed two issues that disrupt informed decision-making. In copy trading, beginners follow high-performing traders but face losses due to hidden risk and unclear outcomes. In notifications, excessive promotional alerts bury critical trade signals, causing missed moments for action.

User reviews revealed two issues that disrupt informed decision-making. In copy trading, beginners follow high-performing traders but face losses due to hidden risk and unclear outcomes. In notifications, excessive promotional alerts bury critical trade signals, causing missed moments for action.

User Review

1-2 competitor research

1-2 competitor research

Bitget Lacks Context for Understanding Traders and Timing for Action

Competitor research showed that eToro focuses on communication between traders and followers in copy trading. This helps users understand how each trader trade, and think about which strategy fits them best. We also found that none of the platforms offer priority-based notification settings, creating an opportunity to help users quickly take action when it truly matters in the volatile crypto market.

Competitor research showed that eToro focuses on communication between traders and followers in copy trading. This helps users understand how each trader trade, and think about which strategy fits them best. We also found that none of the platforms offer priority-based notification settings, creating an opportunity to help users quickly take action when it truly matters in the volatile crypto market.

Competitor Analysis

At this point...

In copy trading, beginners struggled to understand why traders made certain decisions and often experienced different outcomes from the traders they followed. In alerts, frequent event and promotional notifications made it difficult to recognize which signals truly required attention.


To understand how confusion arises when selecting traders, responding to sudden losses, and facing bursts of notifications in volatile markets, I conducted user research to identify what users need in those moments.

1-3 primary research_In-Depth interview

1-3 primary research_In-Depth interview

Visible signals don’t help users understand real risk or strategy

To uncover how confusion emerges at key decision moments across copy trading and alerts, we conducted in-depth interviews with four beginner and early-stage users.


When choosing a trader, beginners relied on simplified performance signals because risk and strategy were hard to interpret. After sudden losses, they struggled to understand what was happening and how to respond. During high market volatility, bursts of promotional notifications buried critical trade alerts, causing missed moments for timely action.

To uncover how confusion emerges at key decision moments across copy trading and alerts, we conducted in-depth interviews with four beginner and early-stage users.


When choosing a trader, beginners relied on simplified performance signals because risk and strategy were hard to interpret. After sudden losses, they struggled to understand what was happening and how to respond. During high market volatility, bursts of promotional notifications buried critical trade alerts, causing missed moments for timely action.

Affinity Mapping

Thematic Analysis

From our research, we saw clear patterns in where trading decisions begin to break down on Bitget.

Based on these patterns, we identified three key pain points and three corresponding needs.

From our research, we saw clear patterns in where trading decisions begin to break down on Bitget.

Based on these patterns, we identified three key pain points and three corresponding needs.

From our research, we saw clear patterns in where trading decisions begin to break down on Bitget.


Based on these patterns, we identified three key pain points and three corresponding needs.

We uncovered where decision-making begins to fail across the trading experience in Bitget:

We uncovered where decision-making begins to fail across the trading experience in Bitget:

Painpoints #1

Users Feel Uncertain When They Can Only Judge Traders by Performance

Users Feel Uncertain When They Can Only Judge Traders by Performance

Before starting copy trading, users must rely on win rates and ROI alone, without understanding how a trader approaches or manages trades.

Painpoints #2

Users Don’t Understand Why Their Losses Are Higher Than the Trader’s

Users Don’t Understand Why Their Losses Are Higher Than the Trader’s

After copying, users experience losses but can’t understand why their results differ from the trader’s performance.

Painpoints #3

Too Many Alerts With No Priority

Too Many Alerts With No Priority

Important trading alerts are mixed with event messages, causing users to miss critical moments.

So, what do users need to feel more confident and supported while trading?

So, what do users need to feel more confident and supported while trading?

Needs #1

Knowing Why Traders Use Their Strategies Before Starting

Users need context around why traders take certain strategies, helping them build trust before entering copy trading in a volatile crypto market.

Needs #2

Knowing Why My Results Are Different From the Trader’s

Users need transparency into why their outcomes differ from the trader’s results so they can judge whether to continue or stop copying.

Needs #3

Knowing Which Alerts Need Action Right Now - personalization

Users need a way to clearly recognize which alerts require immediate attention and action.

Define

2-1 problem statement

2-1 problem statement

Across various pain points, users consistently faced decisions without sufficient context on Bitget.

Our research revealed that Bitget’s core painpoints stems from a lack of contextual understanding. When choosing traders, users see performance signals without the risk or strategy. Similarly, alerts deliver frequent signals without clarifying urgency, making it difficult to recognize when action is truly required.

Our research revealed that Bitget’s core painpoints stems from a lack of contextual understanding. When choosing traders, users see performance signals without the risk or strategy. Similarly, alerts deliver frequent signals without clarifying urgency, making it difficult to recognize when action is truly required.

Problem Statement

Bitget shows signals without the context required to understand what is happening when they need to decide, leading beginners to act without clear awareness of risk or urgency.

Bitget shows signals without the context required to understand what is happening when they need to decide, leading beginners to act without clear awareness of risk or urgency.

2-2 Persona & User Journey map

2-2 Persona & User Journey map

Defining Personas by Experience Level Facing the Same Context Gap

Based on the key issues identified in the research, we defined personas representing users who experience these challenges in real trading situations. By dividing the personas into beginner and experienced user, we captured how copy trading and alert-related issues shape their decision-making in different ways, allowing us to design solutions tailored to their needs.

Based on the key issues identified in the research, we defined personas representing users who experience these challenges in real trading situations. By dividing the personas into beginner and experienced user, we captured how copy trading and alert-related issues shape their decision-making in different ways, allowing us to design solutions tailored to their needs.

Meet Chinedu

Chinedu is a college student who is new to crypto trading. He uses Bitget’s copy trading because he does not know how to trade by himself. He wants clear and trustworthy information to decide which trader he can safely follow with his money.

Chinedu is a college student who is new to crypto trading. He uses Bitget’s copy trading because he does not know how to trade by himself. He wants clear and trustworthy information to decide which trader he can safely follow with his money.

Meet Rachel

Rachel is a full-time professional with some crypto trading experience. She checks Bitget only for short moments during the workday. She wants clear and prioritized alerts so she can quickly know when she needs to act.

Rachel is a full-time professional with some crypto trading experience. She checks Bitget only for short moments during the workday. She wants clear and prioritized alerts so she can quickly know when she needs to act.

Chinedu’s Jouney

Chinedu’s journey shows losses after copying a trader are hard for beginners to interpret, since only surface performance is visible and strategy is hidden.

Chinedu’s journey shows losses after copying a trader are hard for beginners to interpret, since only surface performance is visible and strategy is hidden.

Rachel’s Jouney

Rachel’s journey shows that unprioritized notifications disrupt decisions for working professionals.

Rachel’s journey shows that unprioritized notifications disrupt decisions for working professionals.

Ideate

3-1 brainstorming

3-1 brainstorming

Designing Clearer Signals for Critical Trading Moments

Based on the Define phase insights, we used HMW questions to generate over 50 ideas aimed at clarifying signals, revealing missing context, and supporting timely decisions on Bitget.

Based on the Define phase insights, we used HMW questions to generate over 50 ideas aimed at clarifying signals, revealing missing context, and supporting timely decisions on Bitget.

HMW & Ideation

3-2 impact effort matrix

3-2 impact effort matrix

Prioritizing Solutions That Support Clear Decisions

Prioritizing Solutions That Support Clear Decisions

Using an Impact–Effort Matrix, we selected “Do Now” ideas that clarify trader strategy through communication, prioritize alerts, and support timely decisions by making decision context visible.

Using an Impact–Effort Matrix, we selected “Do Now” ideas that clarify trader strategy through communication, prioritize alerts, and support timely decisions by making decision context visible.

Impact Effort Matrix

3-3 Crazy 8’s

3-3 Crazy 8’s

Fast Idea Sharing for More Adaptable Screen Directions

Crazy 8’s helped the team quickly generate and share ideas while encouraging participation. This allowed us to select screen structures that stay within Bitget’s existing design system while enabling users to adapt quickly without confusion.

Crazy 8’s helped the team quickly generate and share ideas while encouraging participation. This allowed us to select screen structures that stay within Bitget’s existing design system while enabling users to adapt quickly without confusion.

Ideation Sprint

Concept Outcomes

3-4 flow chart

3-4 flow chart

Validating Complete User Flows Before High-Fidelity Design

Flow chart validation ensured the low-fidelity screens worked without errors while covering essential paths like alert personalization and core copy trading flows.
This complete structure allowed us to build the high-fidelity interface without gaps or broken interactions.

Flow chart validation ensured the low-fidelity screens worked without errors while covering essential paths like alert personalization and core copy trading flows.
This complete structure allowed us to build the high-fidelity interface without gaps or broken interactions.

Flow Chart_Copy trading

Flow Chart_Alarm Prioritization

3-5 story board

3-5 story board

Seeing How Bitget Experience Improves at a Glance

Seeing How Bitget Experience Improves at a Glance

This storyboard provides a clear, at-a-glance view of how the app experience improves—especially for users frustrated by notification overload and unclear copy trading information.

This storyboard provides a clear, at-a-glance view of how the app experience improves—especially for users frustrated by notification overload and unclear copy trading information.

Rachel’s Story Board(Notification fatigue)

Rachel’s Story Board

(Notification fatigue)

Chinedu’s Story Board(Copy trading for beginners)

Chinedu’s Story Board

(Copy trading for beginners)

Prototype

4-1 wire frame

4-1 wire frame

Shaping Early Screens for Strategy and Alert Priority Through Agile Iteration

Wireframes were created to quickly visualize ideas, share them with the team, and gather feedback for rapid iteration. This enabled an agile workflow where continuous team feedback drove ongoing refinements, allowing the design to evolve into a structure with clearer decision context.

Wireframes were created to quickly visualize ideas, share them with the team, and gather feedback for rapid iteration. This enabled an agile workflow where continuous team feedback drove ongoing refinements, allowing the design to evolve into a structure with clearer decision context.

Wireframe & Annotations

Final Design

Feature 01_Trader Context in Copy Trading

Feature 01_Trader Context in Copy Trading

Trader Transparency Through Direct Communication

In Bitget copy trading, users often rely on surface-level signals without fully understanding a trader’s intent. Direct communication with traders provides context and reduces uncertainty.

In Bitget copy trading, users often rely on surface-level signals without fully understanding a trader’s intent. Direct communication with traders provides context and reduces uncertainty.

Before

After

Feature 02_ALERT PRIORITY

Feature 02_ALERT PRIORITY

Priority-Based Notification System

In volatile markets, not all alerts require immediate attention. Prioritizing signals helps users quickly identify what matters and respond in time.

In volatile markets, not all alerts require immediate attention. Prioritizing signals helps users quickly identify what matters and respond in time.

Before

After

Feature 03_SIMPLIFIED HOME EXPERIENCE

Feature 03_SIMPLIFIED HOME EXPERIENCE

Simplified Home for Beginners

Beginners often struggle with complex interfaces and overwhelming information. A simplified UI helps them focus on what matters and navigate the app with confidence.

Beginners often struggle with complex interfaces and overwhelming information. A simplified UI helps them focus on what matters and navigate the app with confidence.

Before

After

Test

5 testing

5 testing

Did This App Help Users More Confidently Decide When a Pet’s Condition Is Urgent or Safe to Wait?

We tested the app with five users using ten tasks that covered the end-to-end journey. We wanted to see if beginners could better understand traders by talking to them and if prioritized notifications could help working users respond on time.


The average usability score was 73, which is acceptable but lower than expected. Scores were lower for user who did not know much about crypto or stocks. Interestingly, some users also noted that communicating with traders to understand strategy may not align with every user’s preference, revealing limits to how universally this context adds value.

We tested the app with five users using ten tasks that covered the end-to-end journey. We wanted to see if beginners could better understand traders by talking to them and if prioritized notifications could help working users respond on time.


The average usability score was 73, which is acceptable but lower than expected. Scores were lower for user who did not know much about crypto or stocks. Interestingly, some users also noted that communicating with traders to understand strategy may not align with every user’s preference, revealing limits to how universally this context adds value.

Usability Testing

SUS Results : 73 (Acceptable)

Reflections

take aways

take aways

Strong visual signals can spark action, but informed decision-making drives retention

In copy trading, users may be drawn in by high returns and visual performance cues at first. But long-term engagement depends on whether they can clearly understand risk, trader behavior, and how decisions are made behind the numbers.

In copy trading, users may be drawn in by high returns and visual performance cues at first. But long-term engagement depends on whether they can clearly understand risk, trader behavior, and how decisions are made behind the numbers.

Next steps

Next steps

Explore B2B extensions for a more structured trading ecosystem

Future opportunities include enabling professional traders to better showcase their strategies, providing tools for more transparent performance reporting, and supporting collaboration between platforms, traders, and advanced investors.

Future opportunities include enabling professional traders to better showcase their strategies, providing tools for more transparent performance reporting, and supporting collaboration between platforms, traders, and advanced investors.

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