Case Study: Watchlist Screening – Enhancing Transaction Monitoring Efficiency
The Watchlist Screening solution simplifies the investigator’s workflow by providing an intuitive interface for quickly screening transactions against global and internal watchlists (e.g., OFAC, FATF, NCCT, PEP). This design enables faster alert resolution, reduces manual effort, and improves fraud prevention through a streamlined user experience.
Approximate 2 Months
Project Research and Insights, Wireframes, High-Fidelity Prototype
- Manager: Gathering Business & User Needs
- UX Lead: User Research & Stakeholder Meetings
- UX Designer (My Role): UX Strategy & UI/UX Design
User & Design Strategy
John Carter, Senior Fraud Investigator
- Role:
- 45 year old, is a Senior Fraud Investigator with 8 years of experience, leading a team of three investigators. He specializes in detecting and resolving fraudulent activities efficiently while ensuring compliance with regulatory standards.
- Primary Goals:
- Works at a large financial institution, handles high-risk transactions daily.
- Efficiently identify and resolve fraudulent activities while ensuring compliance
- Requires strong focus and excellent decision-making skills.
- Balances speed and compliance while preventing fraud.
- Pain Points:
- High turnover of alerts on transaction
- Too many false positives
- Time-consuming investigations and complex regulatory requirements
- Simplicity: A clear, structured interface to keep investigators on a single page.
- Accuracy: Reduce false positives and improve risk assessment.
- Speed: Minimize manual effort as the system learns from investigator input.
- Alerting UI: A single-screen experience to reduce cognitive load and keep investigators focused.
- Risk Scoring for Prioritization: Alerts ranked by match confidence to highlight critical cases first.
- Prioritization of work: Ability to prioritize alerts based on Score, High Value Transaction, Value Date, Status
- Grouping: Organizing by Hits and Transactions to enhance scanning speed and comprehension.
- Decision Making & Learning System: Investigators can mark false positives to refine the system and Log resolutions for clear, trackable decisions.
Design Outcome
Smart Alert Management
An optimized alerts list designed for quick scanning, allowing investigator to efficiently sort and prioritize based on their needs.
Quick Transaction Comparison
Easily compare transaction details with identified hits using clear visual markers for quick decision-making.
Seamless Investigation
Expandable details keep invenstigator on the same page, providing clear, human-readable insights without unnecessary navigation.
Effortless Collaboration
A side panel enables users to add comments, attach documents, track history, and assign tasks—all in one place.
Manage Exclusions Efficiently
Easily track and review false positive hits marked as excluded in the Exclusion List.
Flexible Customer Screening
Screen customers individually or in bulk, whether for random checks or periodic reviews.
Comprehensive Overview
A dashboard designed for managers and investigators to track current work and trends over time at a glance.
User Insights & Early Feedback
- The design was well-received for its ease of use.
- The UI was self-explanatory, requiring minimal explanation.
- Information was well-organized, making navigation intuitive.
- The user felt they could work efficiently with this UI.
