Lead Qualification Engine

Overview

Designed and implemented a complex, rule-driven customer intake and qualification system for a large cloud-based SaaS platform. The application dynamically evaluated user responses across multiple modules, where answers in one section could significantly influence logic and weighting in entirely different parts of the flow. The system applied algorithmic scoring and conditional branching in real time, progressively shaping the experience to surface high-value signals while minimizing friction for users. Built in framework-free JavaScript for performance, control, and compatibility within an existing enterprise environment.

Highlights

• Designed a multi-module intake flow with cross-section logic dependencies and dynamic weighting
• Implemented real-time algorithmic scoring and conditional branching to progressively qualify leads
• Built in vanilla JavaScript for performance, control, and compatibility within the existing enterprise stack
• Enabled the sales team to identify and prioritize high-potential leads, improving outbound engagement quality