EDGE Empower® Pay Tool

Redefining pay equity analysis through a complete new experience.

Project's scope

Product Design

Platform

Desktop

Team

Cross-functional team

Duration

2025 - Ongoing

The Opportunity

Develop a new software solution to replace a slow, legacy Excel VBA-based system, with the objective of providing a faster, more secure, and user-friendly experience.

Pain Points

Severe Performance Issues

Processing analysis took 5-7 minutes. With the application freezing and wasting working hours.

Compatibility Issues

Many companies experienced problems running the Excel VBA-based tool on newer devices.

High Error Rates

The complex and unintuitive Excel interface led to user frustration and frequent input errors.

Critical Privacy Concerns

The system posed potential risks with sensitive data being processed externally.

Key Outcomes and Results

Faster Analysis

Analysis processing time was cut from 5-7 minutes to under 20 seconds, more than 90% reduction.

Increased Data Accuracy

Improved data validation routines led to a 25% reduction in errors.

Higher User Satisfaction

User surveys indicated a 30% improvement in overall user satisfaction.

Stronger Security & Regulatory Compliance

Offline processing was achieved, and a new sections were added to ensure compliance with future reports (e.g.: EU Pay Transparency, EU CSRD…)

Before & After

Solution

Improved Performance

The backend architecture was recreated to handle large and customizable datasets, processing the analysis in less than 20 seconds.

The backend architecture was recreated to be able to handle large and customizable datasets, while processing the analysis in less than 20 seconds.

Customization & Flexibility

A new interface were introduced to allow users to customize regression variables and tailor the analysis to their specific organizational needs

Improved User Experience (UX)

Excel sheets were replaced with a modern interface and improved flow to simplify data entry, reducing time and error rates.

Enhanced Security & Privacy

The entire analysis process is conducted completely offline, ensuring sensitive pay equity data remains protected on the user's device.

I.M.

London

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