Selected Write-ups From Recent Work

Dealertrack F&I: Embedding Fraud Detection into Dealer Workflows

Role: Sr. UX Designer (Sole Designer) Type: SaaS / Enterprise Product Design Focus: Workflow Integration, Identity Verification, Compliance UX

Overview

Dealertrack is a leading automotive retail platform used by thousands of dealerships nationwide. This project centered on integrating a third-party fraud analytics solution into the existing Finance & Insurance (F&I) workflow — a high-stakes environment where deal accuracy, compliance, and speed all carry significant weight.

The goal was to make fraud detection feel native to the dealer's existing process, not bolted on.

The Problem

F&I managers were navigating compliance checks manually — a fragmented, time-consuming process that created friction at a critical point in the deal flow. Without real-time fraud signals surfaced in context, dealers were left making decisions with incomplete information, and compliance became reactive rather than proactive.

At the start of this engagement, there was no prior UX research on these workflows and significant technical constraints to design around. Everything had to be built from the ground up.

My Process

Heuristic Audit. I began with a thorough heuristic audit of the existing Dealertrack F&I interface, mapping pain points across the current workflow. This gave me a clear baseline — where users were losing time, where the interface created ambiguity, and where compliance tasks were creating the most friction.

User Flows & Wireframes. From the audit findings, I mapped revised user flows that repositioned fraud detection as a natural step in the deal process rather than an interruption. Wireframes explored how to surface verification states, alerts, and document handling without overwhelming F&I managers mid-deal.

Prototyping & Usability Testing. I built clickable prototypes that were used directly in usability testing sessions. Testing focused on key interaction moments: understanding verified vs. non-verified states at a glance, navigating a mobile-first identity verification experience (license scan, selfie capture), and interpreting fraud alerts clearly enough to act on them with confidence.

High-Fidelity Design. Final designs included custom components and a modular widget framework designed to accommodate future fraud detection layers — built for this MVP, but architected to scale.

Key Design Decisions

Clarity of state, always. One of the core challenges was communicating verification outcomes — verified, pending, flagged — in a way that was immediately readable under pressure. I designed distinct UI states with clear visual hierarchy so dealers could orient themselves at a glance without parsing dense compliance language.

Mobile-first identity verification. The identity capture flow (license scan + selfie) had to feel fast and trustworthy without stalling the sales process. I designed this as a streamlined, step-by-step experience that could be completed on a mobile device with minimal instruction — intuitive enough that it didn't require training.

Turning compliance into a guide, not a gatekeeper. Rather than surfacing alerts as blockers, the design framed fraud signals as decision support — guiding dealers toward faster, safer deal closures. Messaging was written to be directive without being alarmist.

Designing for auditability. Document handling was designed with both the dealer and future compliance reviews in mind — clear, structured, and traceable.

Outcome

  • 16% reduction in time-on-task across key workflow touchpoints
  • 12% improvement in task completion rate measured through usability testing
  • Delivered an MVP that validated technical feasibility of the integration within Dealertrack
  • Established a modular design framework ready to support future fraud detection enhancements

Reflection

Working without existing UX research and within tight technical constraints pushed me to rely heavily on first-principles thinking — the heuristic audit became the foundation everything else was built on. The biggest design challenge wasn't the complexity of fraud detection; it was making something inherently compliance-heavy feel like a natural, low-friction part of a dealer's day.