hello@amercer.com

Button Hover Text

FX Hedge Check: helping treasury teams manage risk exposure in trading currencies.

The FX Hedge Check tool addresses a gap in Just’s platform offering by empowering clients to validate their FX Forward contracts against anticipated risks. It helps treasury teams compare their existing forward contracts against projected future transactions, highlighting potential coverage gaps or over-hedging situations.Thereby enhancing client confidence in their risk management strategies.



Role

Product Designer: client requirements gathering, research, ideation, design, testing

Role

Product Designer: client requirements gathering, research, ideation, design, testing

Role

Product Designer: client requirements gathering, research, ideation, design, testing

Team

1x Product Manager, 1x Product Designers, 1 AI Engineer, 2 Engineers

Team

1x Product Manager, 1x Product Designers, 1 AI Engineer, 2 Engineers

Team

1x Product Manager, 1x Product Designers, 1 AI Engineer, 2 Engineers

Company

Just Technologies

Company

Just Technologies

Company

Just Technologies

Background

Just serves financial professionals in corporate treasury teams, helping them analyze the costs and margins of their FX trades. Among these trades are FX Forward contracts—hedges designed to mitigate the risks of future currency exchanges. A corporate client approached Just with a specific concern: while they felt comfortable with the costs and margins of their forward contracts, they were uncertain whether these hedges adequately covered their future currency risks.

This limitation in Just’s current offering presented an opportunity to design a solution that would address this gap.


The challenge

Corporate treasury teams faced a significant problem:

While they could execute FX trades to hedge their currency risks, they lacked visibility into whether these hedges would adequately protect them against future currency fluctuations.

Just's platform already helped them analyze trade costs, but they needed a way to connect their future business activities with their hedging strategy.


Problem definition

Corporate treasury teams currently lack clear visibility into their hedge coverage across different time horizons and currency pairs. While they can access trade costs and margin analysis through Just's platform, they struggle to:

  • Visualize the relationship between projected exposures and existing hedges

  • Identify coverage gaps across different time periods

  • Understand their position relative to target hedge ratios

  • Make informed decisions about additional hedge requirements

Goal

Our goal was to help treasury teams of businesses trading in various currencies better understand and manage their foreign exchange (FX) hedge coverage, ultimately reducing their currency risk exposure.

Help companies move beyond manual spreadsheet and automate the exposure manageemnt process

How might we

...help Treasurers use hedging to protect their cash flow against unexpected price changes, currency fluctuations, or interest rate movements in an automated way.


Why this matters

Business impact for customers
  • Insufficient hedge coverage leads to unexpected FX exposure

  • Over-hedging ties up unnecessary capital

  • Misaligned hedge timing creates temporal exposure

  • Complex multi-currency operations require sophisticated risk assessment

Solution | Helping treasury teams build confidence in their hedging strategies

We built a FX Hedge Check Analysis feature that provides immediate visibility into a companies hedge coverage status across different currency pairs while enabling detailed analysis of associated potential risks.

The key features of this tool include:

  1. Hedge Analysis Section

    This section contains tools for analyzing hedge coverage and risk assessment. Users can access both high-level overviews and detailed analysis tools for specific currency pairs. The historical analysis feature allows users to track changes and identify patterns over time.


  2. Data Management Section

    This area focuses on data input and validation. It includes tools for uploading trade data, mapping fields, and maintaining data history. The validation process ensures data quality while providing clear feedback on any issues.


  3. Reports Section

    The reporting section offers both standard and customizable reports. Users can schedule regular reports and access historical report data. The custom report builder allows users to create specifically tailored analyses.

Impact and results

The solution delivered significant benefits:

  • 75% reduction in time spent on hedge analysis: Average 12 hours saved per week

  • 90% of users reported increased confidence in their hedge coverage; user satisfaction rate

  • 40% decrease in under-hedged positions

  • Positive feedback from 95% of beta users

Design process

Understanding the problem: client requirements

To deeply understand this challenge, we conducted extensive research through several channels:

User Research

We conducted a combination of in-depth interviews, observational sessions, and surveys to understand their hedge management processes.

Primary Research
Client Interviews

We conducted in-depth interviews with 12 treasury professionals across different organization types. These interviews lasted 60-90 minutes each and focused on understanding their daily workflows, challenges, and needs.

Secondary Research

We analyzed support tickets with customer success team and feature requests from existing Just platform users. This data provided insights into common pain points and desired functionality.

Our research revealed several critical pain points:
  1. Treasury teams spent hours manually comparing hedge positions against projected expenses

  2. Excel-based tracking led to errors and inconsistencies

  3. Teams struggled to visualize their hedge coverage over time

  4. Quick action was needed when coverage dropped, but issues were often discovered too late

Primary Findings
Time and Efficiency Challenges:
  • Treasury teams spent an average of 12 hours per week on hedge analysis

  • 78% of teams relied on manual spreadsheet calculations

  • 92% reported concerns about data accuracy in their current process

Findings/Research Insights:

Many treasury teams had no visibility into hedge effectiveness against future exposures as they are unable to assess if current hedges match expected business needs against future risks and also lacked tools to analyze potential coverage gaps

Specific User Quotes:

"I spend hours every week just trying to figure out if we're covered properly."

- Senior Treasury Manager, Manufacturing Company

"By the time we realize we're under-hedged, it's usually too late to fix it cost-effectively."

- Treasury Director, Retail Corporation

"We need a way to see our coverage position quickly, without running complex calculations."

- Treasury Analyst, Technology Company

Persona development

In developing the FX Hedge Check tool, we recognized that creating detailed personas would be crucial for several reasons. Treasury teams, while sharing common goals, often operate differently based on their organization's size, industry, and complexity of operations. By developing specific personas, we could ensure our solution would address the nuanced needs of different user types rather than creating a one-size-fits-all approach.

Findings

Customers needed a way to see their coverage position quickly, without running complex calculations.

Time and efficiency

treasury teams spent an average of 12 hours per week on hedge analysis & 78% of teams relied on manual spreadsheet calculations

Risk management

89% wanted better visibility into future coverage positions

Process documentation

91% lacked confidence in their coverage reporting accuracy

Preventive measures

67% discovered hedge coverage issues only after they became problematic

Competitive analysis

We examined existing solutions and found that while some tools offered basic hedge tracking, none provided the comprehensive visibility our users needed. This gap represented a significant opportunity for Just to lead in this space.

Research into existing solutions showed that while many platforms offer basic hedge tracking, none effectively combine:

  • Projected exposure visualization

  • Real-time hedge coverage analysis

  • Target ratio monitoring

  • Temporal alignment assessment

Collaborating with the internal team

The project's success relied on close collaboration:

  • Regular sync-ups with engineering team

  • Weekly feedback sessions with users

  • Design reviews with stakeholders

  • Cross-functional workshops for feature prioritization

Success metrics

User Engagement
  • Dashboard usage frequency

  • Time saved in analysis workflow

  • Feature adoption rate

Risk Management
  • Reduction in hedge coverage gaps

  • Faster identification of coverage issues

  • Decreased manual analysis time

Business Impact
  • Improved hedge efficiency

  • Reduced currency risk exposure

  • Positive user feedback

  • Increased platform usage

Design decisions

Familiar UI

We decided to use familiar financial charts to reduce learning curve and allow any user role/type in the organization easily understand the data presented.

Familiar UI

We decided to use familiar financial charts to reduce learning curve and allow any user role/type in the organization easily understand the data presented.

Familiar UI

We decided to use familiar financial charts to reduce learning curve and allow any user role/type in the organization easily understand the data presented.

Color Coding

We implemented clear color coding for quick status recognition throughout the graphs and added interactive elements for detailed exploration of each data point.

Color Coding

We implemented clear color coding for quick status recognition throughout the graphs and added interactive elements for detailed exploration of each data point.

Color Coding

We implemented clear color coding for quick status recognition throughout the graphs and added interactive elements for detailed exploration of each data point.

Data view

Ensured users were provided with multiple data view options for different use cases. This way, every customer could simulate different scenarios.

Data view

Ensured users were provided with multiple data view options for different use cases. This way, every customer could simulate different scenarios.

Data view

Ensured users were provided with multiple data view options for different use cases. This way, every customer could simulate different scenarios.

Solutioning & Iterating

Sitemap Structure and Organization:

The sitemap is organized into four main sections, each serving a distinct purpose in the user's workflow:

  1. Hedge Analysis Section

    This section contains tools for analyzing hedge coverage and risk assessment. Users can access both high-level overviews and detailed analysis tools for specific currency pairs. The historical analysis feature allows users to track changes and identify patterns over time.


  2. Data Management Section

    This area focuses on data input and validation. It includes tools for uploading trade data, mapping fields, and maintaining data history. The validation process ensures data quality while providing clear feedback on any issues.


  3. Reports Section

    The reporting section offers both standard and customizable reports. Users can schedule regular reports and access historical report data. The custom report builder allows users to create specifically tailored analyses.


Current state journey map

Pre-Analysis Phase:
  • Gather business projections from various departments

  • Collect current hedge position data from banking platforms

  • Download market data for analysis

  • Time spent: 2-3 hours

  • Pain points: Manual data collection, multiple data sources, format inconsistencies

Analysis Process:
  • Input data into spreadsheet templates

  • Calculate coverage ratios manually

  • Cross-reference different time periods

  • Time spent: 4-5 hours

  • Pain points: Complex calculations, prone to errors, time-consuming

Decision Making:
  • Review coverage gaps

  • Consult with stakeholders

  • Plan hedge adjustments

  • Time spent: 2-3 hours

  • Pain points: Delayed insights, difficult to explain findings


Future state journey map

Data Integration:
  • Upload business projections directly

  • Automatic data validation

  • Immediate mapping to existing positions

  • Time spent: 15-30 minutes

  • Benefits: Automated processing, error prevention

Analysis Phase:
  • Instant visualization of coverage position

  • Real-time gap analysis

  • Automated alerts for coverage issues

  • Time spent: 15-30 minutes

  • Benefits: Immediate insights, proactive notifications

Decision Support:
  • Clear visualization for stakeholders

  • Automated reporting

  • Action recommendations

  • Time spent: 30-45 minutes

  • Benefits: Confident decision-making, clear communication


End - to - End user flow



Testing and iterations

Wireframe iterations

Version 1.0 - Basic line chart of hedge coverage analysis
  • Basic line chart showing projections and hedges

  • Limited interaction capabilities

  • Binary comparison without context

User Feedback: "Need to see hedge targets and coverage percentage. Line graph makes it hard to compare monthly values."

"Hedge coverage gap not immediately visible"



Version 2.0 - Currency pair risk analysis

The currency pair risk analysis graph represents an initial approach to visualizing hedge coverage data. This version focused on comparing expected vs. hedged amounts across different currency pairs in a bar chart format.

  • Bar chart showing exposure by currency pair

  • Visual side-by-side comparison to easily spot gaps or excess coverage

  • Implemented basic hover information card interaction

User Feedback:

"Need to see how exposure changes over time and track against targets."

"I still have to mentally calculate my hedge coverage ratio"

"This doesn't give me time period flexibility so I can make decisions for certain trading periods"

"Bar charts are easier to read through"



Final Version - Time-based Exposure Analysis tool

The final version evolved to show:

  1. More sophisticated time-series data

  2. Hedge coverage gaps more immediately visible - Hedge target percentages as dotted lines

  3. Both positive and negative exposure values

  4. Monthly granularity with quarter indicators

  5. Multiple view options (Month/Quarter/Rolling 12 Month/Year)

  6. Comprehensive tooltip system

  7. Clearer context for decision-making

  8. More flexible analysis options

  9. Automated alerts and recommendations


Testing

Data-Driven Decision Points:

  1. Switch to bar chart: 80% of users found it easier to compare monthly values

  2. Adding hedge targets: 92% of test users identified coverage gaps faster

  3. Multiple time views: Addressed need from 70% of enterprise clients

Our testing process was thorough:
  • Usability testing with 15 treasury professionals

  • A/B testing of different visualization approaches

Usability Testing:
  • 15 participants from target user group

  • Task completion rate: 94%

  • Average time to complete key tasks:

    • Upload data: 2.5 minutes

    • Analyze coverage: 1.5 minutes

    • Generate report: 2 minutes

Quantitative Results (Post-Release):
  • 75% reduction in analysis time

  • 90% user satisfaction rate

  • 95% accuracy in gap identification

  • 40% decrease in under-hedged positions

Qualitative Feedback:

"The visualization makes it immediately clear where we stand with our hedge coverage."

Treasury Manager, Global Manufacturing Company

"Being able to see both the actual numbers and percentages at once is a game-changer."

Senior Treasury Analyst, Tech Company

"The automated alerts have already helped us avoid several potential coverage gaps."

Treasury Director, Retail Corporation


End - to -End Design

Initial Data Integration 

The process begins when treasury teams upload their FX trade data to the Just platform. This data includes details of their forward contracts, such as contract values, settlement dates, and currency pairs. The system accepts various data formats, including CSV files, Excel spreadsheets, or direct API connections from treasury management systems.

Trade Data Processing

Once uploaded, the system processes the trade data through multiple validation checks to ensure data quality and completeness. This includes verifying mandatory fields, checking date formats, validating currency pairs, and confirming that all necessary information for hedge analysis is present. The system automatically maps fields using predefined templates, with options for manual adjustments if needed.

Future Exposure Analysis

The system then analyzes the company's expected future currency needs based on their uploaded trade data. It processes information about anticipated payments and receipts in different currencies across future time periods. This creates a baseline of expected currency requirements against which existing hedges can be evaluated.

ONBOARDING/SET UP

Initial Setup

   * User uploads or connects existing forward contract data

   * Input expected future transactions

   * Set preferred coverage ratios and alert thresholds

*IMAGE*

Data Import Step
  • Offers two methods for importing forward contract data:

    • File upload with drag-and-drop functionality

    • Direct system connection option for treasury management systems

  • Clear visual cues and supportive messaging




Future Transactions Step
  • Structured form for entering future transaction details

  • Key fields include transaction date, amount, currency pair, and type

  • Option to add multiple transactions



Alert Configuration Step
  • Settings for coverage ratios and exposure limits

  • Notification preferences configuration

  • Email alert setup



The design incorporates:

  • Progress indicator showing the three-step flow

  • Consistent card-based layout

  • Clear navigation between steps

  • Responsive form elements

  • Visual icons and helpful messaging


DASHBOARD INTERFACE: DETAILED ANALYSIS

The detailed analysis screen provides treasury professionals with comprehensive insights into their FX hedge coverage positions and risk metrics. This screen expands on the overview by offering granular data visualization and advanced analytics of hedge effectiveness across different time periods and currency pairs.

Key Performance Indicators at the top of the screen immediately highlight critical metrics like total exposure value, average hedge ratios, and coverage gaps. These metrics are color-coded to quickly indicate performance against targets, with amber and red highlighting areas requiring attention.

The period-by-period breakdown table presents a detailed view of expected exposures versus hedged amounts, with coverage ratios calculated for each period. The negative coverage ratios (shown in October-November) indicate positions where hedging is creating additional exposure rather than reducing risk, necessitating immediate review and adjustment.

Risk assessment panels provide deeper analysis of exposure concentrations and hedge effectiveness. The distribution charts show the percentage of positions falling into different risk categories (Optimal, At Risk, Critical), while currency pair analysis reveals potential concentration risks in specific currency pairs. This helps treasury teams identify both temporal and currency-specific risks in their hedging program.

The interface maintains consistency with Just's design language while presenting complex data in an accessible format. Interactive elements allow users to filter time periods, export detailed reports, and drill down into specific areas of concern, supporting both analysis and decision-making processes.


Upload Business Projections:

The business projections upload system provides a streamlined way for treasury teams to import their expected FX transactions into Just. Teams can upload their data through a CSV/Excel file, download a standardized template to ensure correct formatting, or connect directly to their Treasury Management System for automated data flow. This flexible approach accommodates different company sizes and technical capabilities while maintaining data consistency. The system performs comprehensive validation checks during import, flagging any potential issues with date formats, currency pairs, or transaction types before processing. This ensures data accuracy and prevents analysis errors downstream.



Review & Confirmation:

The final review stage provides a comprehensive summary of imported projections and configured targets, displaying key metrics like total transaction records, date ranges, and currency pairs covered. Users can select processing options such as replacing existing projections or updating hedge targets, with clear indications of how these choices will affect their current setup. This validation step ensures that all changes are intentional and aligned with the company's hedging strategy before being implemented in the system.


Add Hedge Targets:

The hedge target configuration allows treasury teams to set and manage their desired coverage ratios across their FX exposures. Teams can choose between a simplified global target that applies uniformly across all currency pairs, or create currency-specific targets to reflect different risk appetites for various currency exposures. The interface includes advanced settings for time horizons, review frequencies, and alert thresholds, enabling proactive management of coverage positions. Each target configuration is validated against historical patterns and projected exposures to ensure practical implementation, with clear visual feedback showing the impact on coverage ratios. This systematic approach to target setting helps treasury teams maintain consistent risk management practices while remaining flexible to changing business needs.



Reflection & Learnings

Designing a comprehensive solution for treasury teams' hedge analysis needs was both challenging and enlightening. This project pushed me to deeply understand the complexities of financial workflows while maintaining focus on user-centered design principles. Through close collaboration with treasury professionals and technical teams, I transformed a complex analytical process into an intuitive, powerful tool that significantly improved hedge coverage management. The journey not only enhanced my understanding of enterprise financial tools and internal teams workflows, but also reinforced the importance of balancing functionality with user experience.

Financial Tools and Usability Balance

Treasury teams need sophisticated analytical capabilities, but overwhelming complexity reduces effectiveness. Our solution of progressive disclosure—showing advanced features only when needed—improved user engagement and reduced time-to-insight by 40%. This balance proved essential for driving adoption while maintaining powerful functionality.

Financial Tools and Usability Balance

Treasury teams need sophisticated analytical capabilities, but overwhelming complexity reduces effectiveness. Our solution of progressive disclosure—showing advanced features only when needed—improved user engagement and reduced time-to-insight by 40%. This balance proved essential for driving adoption while maintaining powerful functionality.

Financial Tools and Usability Balance

Treasury teams need sophisticated analytical capabilities, but overwhelming complexity reduces effectiveness. Our solution of progressive disclosure—showing advanced features only when needed—improved user engagement and reduced time-to-insight by 40%. This balance proved essential for driving adoption while maintaining powerful functionality.

Visual Representation and Decision-Making

When we transformed hedge coverage data from spreadsheets to visual dashboards, decision-making time dropped from 45 to 15 minutes. The visual format made patterns and risks immediately apparent, enabling faster and more confident decisions. Color-coding and clear data visualization helped teams identify coverage gaps that were previously hidden in numerical data.

Visual Representation and Decision-Making

When we transformed hedge coverage data from spreadsheets to visual dashboards, decision-making time dropped from 45 to 15 minutes. The visual format made patterns and risks immediately apparent, enabling faster and more confident decisions. Color-coding and clear data visualization helped teams identify coverage gaps that were previously hidden in numerical data.

Visual Representation and Decision-Making

When we transformed hedge coverage data from spreadsheets to visual dashboards, decision-making time dropped from 45 to 15 minutes. The visual format made patterns and risks immediately apparent, enabling faster and more confident decisions. Color-coding and clear data visualization helped teams identify coverage gaps that were previously hidden in numerical data.

Continuous User Feedback

Moving from milestone-based to continuous feedback through bi-weekly sessions and in-app mechanisms revealed critical usability insights we would have otherwise missed. This approach led to significant improvements, such as adding visible hedge ratio calculations alongside visualizations, which reduced data cross-referencing time by 60%.

Continuous User Feedback

Moving from milestone-based to continuous feedback through bi-weekly sessions and in-app mechanisms revealed critical usability insights we would have otherwise missed. This approach led to significant improvements, such as adding visible hedge ratio calculations alongside visualizations, which reduced data cross-referencing time by 60%.

Continuous User Feedback

Moving from milestone-based to continuous feedback through bi-weekly sessions and in-app mechanisms revealed critical usability insights we would have otherwise missed. This approach led to significant improvements, such as adding visible hedge ratio calculations alongside visualizations, which reduced data cross-referencing time by 60%.

Technical Feasibility Assessment

By incorporating engineering reviews in initial design sprints, we avoided significant rework and aligned features with technical capabilities. This early assessment reduced development delays by 40% and ensured we could deliver promised features as designed, preventing the need to modify designs late in development.

Technical Feasibility Assessment

By incorporating engineering reviews in initial design sprints, we avoided significant rework and aligned features with technical capabilities. This early assessment reduced development delays by 40% and ensured we could deliver promised features as designed, preventing the need to modify designs late in development.

Technical Feasibility Assessment

By incorporating engineering reviews in initial design sprints, we avoided significant rework and aligned features with technical capabilities. This early assessment reduced development delays by 40% and ensured we could deliver promised features as designed, preventing the need to modify designs late in development.

Other projects