
A comprehensive UX redesign for an IT salary benchmarking platform, delivering a complete design system and investor-ready materials in just 4 weeks.
Helping Polish IT professionals know their worth with transparent salary benchmarks.
Pre-Seed
In MasterBorn
I led a 4-week sprint to redesign the product from the ground up, delivering a clear, intuitive, and investment-ready experience.

My initial audit revealed three business-critical problems:
Information Overload
5+ competing charts buried the main answer, leaving users overwhelmed and without a clear takeaway.
High User Abandonment
The confusing interface led to a >90% drop-off rate (from 15,000+ initial users to <10% completion)—a major red flag for investors.
Lack of Actionable Context
Data was presented without guidance, leaving users asking, "What do these numbers mean for my career?"



To meet the aggressive four-week deadline, I adopted a highly focused design sprint methodology. The process moved swiftly from a rapid UX audit and strategic definition into tangible design execution.
I translated core user flows into wireframes and then directly into a polished visual design, building a scalable component library in parallel to ensure both speed and consistency. The sprint culminated in a complete set of high-fidelity screens, key prototypes, and the crucial investor-ready pitch deck, delivering a comprehensive solution in a condensed timeframe.
Before


Redesign
From Features to Benefits
Instead of showing dozens of metrics, I designed a single, prominent "GoodSalary Score." This immediately answers the user's core question, shifting the focus from raw data to a personal, insightful benefit.
Investor-Ready and Recognizable
More than just a UI, I delivered a valuable product and investor pitch deck, equipping the founders with the professional materials they needed for successful fundraising.
Progressive Disclosure to Reduce Cognitive Load
The new UI presents key information first, then allows users to explore detailed comparisons and career paths on demand, significantly reducing cognitive load.

