Editable Field Highlighter for Fraud Rules

Problem Context

Fraud risk analysts and UI designers build rules in complex web interfaces to detect payment fraud. When creating or editing these rules, they struggle to identify which text fields are editable because the current designs—like floating labels or minimal borders—are unclear. This forces them to guess, slows down workflows, and increases errors in critical fraud detection processes.

Pain Points

Designers try adding borders (which look cluttered), floating text (which feels incomplete), or hover states (which aren’t enough). None of these solutions clearly indicate editable fields, leading to frustration and wasted time. Analysts end up submitting incomplete rules or making mistakes that require rework, which delays fraud detection and escalation.

Impact

Unclear editable fields cause delays in rule approvals, which means fraudulent transactions go undetected longer—costing companies thousands in lost revenue. Analysts waste 5+ hours per week guessing which fields to fill out, and designers spend extra time iterating on UI mockups that still don’t solve the problem. The risk of human error also increases, leading to false positives or negatives in fraud alerts.

Urgency

This is a daily pain point for fraud teams because rules need to be updated frequently to adapt to new fraud patterns. Every hour spent fixing UI confusion is an hour not spent improving fraud detection. Managers also push back on poorly designed interfaces, creating tension between design and operations teams. Ignoring this problem risks slower fraud response times and higher financial losses.

Target Audience

Fraud risk analysts, UI/UX designers working on financial SaaS products, and product managers at fraud detection companies. It also affects internal design teams at fintech startups, insurance companies, and payment processors who build custom rule-based systems. Even freelance designers working on fraud-related projects face this issue when collaborating with clients.

Solution Approach

A Figma plugin and browser extension that automatically highlights editable fields in fraud rule builders with visual cues like a subtle glow, underline, or color change. The tool uses AI to detect text fields in rule panels and applies consistent, fraud-specific UI patterns to make it instantly clear which fields users can edit. It also includes templates for common fraud rule layouts to speed up design iterations.

Key Features

1. Fraud-Specific Templates: Pre-built UI components for common fraud rule fields (e.g., transaction amount thresholds, merchant categories) that follow best practices for clarity.
2. Hover Feedback: Shows tooltips or examples when users hover over fields (e.g., 'Enter a minimum transaction value here').
3. Analytics Dashboard: Tracks which fields users struggle with most and suggests improvements.

User Experience

Fraud analysts open their rule builder in Figma or a web app, and the plugin/extension instantly highlights editable fields with a visual cue. They hover over a field to see an example or tooltip, then fill it out without guessing. Designers use the fraud-specific templates to mock up rule panels faster, reducing back-and-forth with analysts. Managers get a dashboard showing which fields cause the most confusion, so they can prioritize fixes.

Differentiation

Unlike generic Figma plugins or design systems, this tool is built specifically for fraud rule builders. It understands the unique structure of fraud rules (e.g., condition fields, escalation thresholds) and applies UI patterns that work for this vertical. It also goes beyond visual cues by providing analytics to continuously improve clarity, which no other tool does for this niche.

Scalability

Starts as a Figma plugin for individual designers, then expands to a browser extension for internal fraud tools. Later, it adds white-label UI kits for fraud SaaS companies to embed in their products. Pricing scales from per-user subscriptions to enterprise licenses, with add-ons like custom field detection or team analytics.

Expected Impact

Reduces time wasted on unclear fields by 80%, speeds up rule approvals, and cuts errors in fraud detection. Designers spend less time iterating on UI mockups, and analysts submit complete rules faster. Fraud teams see fewer false positives/negatives, and companies avoid financial losses from undetected fraud. The analytics feature also helps teams continuously improve their rule-building workflows.