Trade Surveillance

Trade surveillance is a desktop application that is used for monitoring trade. The workflow of the project helps the data analyst to analyze threats and fraud in the trading world.

Problem Statement: Trade analysts face challenges identifying and tracking suspicious trading activities efficiently due to fragmented interfaces and slow, non-intuitive workflows. Analysts need a centralized system to monitor trade patterns, escalate suspicious trades with appropriate context, and track case resolution status over time.

Solution Statement: Design a streamlined, analyst-friendly desktop application that consolidates surveillance data into a clean dashboard, enables intuitive escalation of suspicious trades via a modal form, and provides a dedicated history view for all escalated cases. The interface must support data-rich visuals, fast interaction, and clarity in critical workflows.

Design Process

1. Research & Discovery

   • Stakeholder interviews with compliance officers and data analysts

   • Competitive analysis of financial surveillance tools

2. Define

   • User personas

   • Journey maps

   • Problem scenarios

3. Ideate

   • Low-fidelity wireframes for each module

   • User flow diagrams

4. Design

   • High-fidelity wireframes and UI prototypes

   • Visual system focusing on clarity, minimalism, and accessibility

5. Validate

   • Usability testing with real analysts

   • Iteration based on feedback

Persona

Aarti Mehra's persona

Empathy Map

Aarti's Empathy Map

Journey Map

Low-Fedility Wireframes

High-Fidelity Wireframes

Conclusion

This project balanced data density with interface clarity to support high-stakes decision-making by analysts. By streamlining the workflow into three logical modules—dashboard, escalation, and confirmation—the tool now enables faster threat detection, intuitive escalation, and transparent case management. The result is a measurable improvement in analyst productivity and reduced operational risk.