Legacy Lift

Legacy Lift is a platform that simplifies complex legacy code and upgrades outdated systems while making them accessible to non-technical users. It extracts insights from existing codebases and databases, transforming them into detailed user stories. This helps teams modernize old systems and bridge the gap between technical and non-technical stakeholders, ensuring clarity and efficiency in software evolution.

UX/UI Approaches & Strategies

UX Evaluation & Audit for Legacy Systems, Code-to-User Story Mapping UI, User Role-Based Dashboards, Cross-Platform Compatibility for Enterprise Teams

Tools Used

Figma, Sketch, Notion

Timeline

2 months approx.

Purpose

It serves two main purpose -
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‍Tech Upgrade: It tech-upgrades old systems by extracting data from existing codebases and databases, modernizing them, and transforming them into detailed, actionable user stories. This helps with optimizing and improving older systems.
‍Understanding Code: It simplifies complex code and database structures, making it accessible for non-technical users. This enables stakeholders or teams to easily grasp the functionality of the code, even if they don’t have a technical background.
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It bridges the gap between technical and non-technical teams while also upgrading legacy systems.

Problem Statement

Many organizations rely on outdated legacy systems that are difficult to understand, maintain, and upgrade. Non-technical stakeholders struggle to grasp the system’s structure and logic, making collaboration between technical and business teams inefficient. Additionally, modernizing these systems is a complex, time-consuming process that often lacks clear documentation and actionable insights.

Solution

Legacy Lift simplifies and upgrades legacy systems by:

1. Extracting Data & Insights – Analyzing existing codebases and databases to generate structured documentation.
2. Transforming Code into User Stories – Converting complex logic into detailed, easy-to-understand narratives for both technical and non-technical teams.
3. Enabling Non-Technical Understanding – Making code accessible through visual representations and explanations.
4. Optimizing & Upgrading Systems – Providing modernization strategies while ensuring system continuity.
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This approach bridges the gap between business and technical teams, accelerating digital transformation with clarity and efficiency.

Design Process

From Research to Pixel-Perfect Execution: A Thoughtful Design Journey.

Discover

Exploring Opportunities: Conducting User Research, Competitive Analysis, and Developing Strategies

Define

Structuring the Foundation: Creating User Personas & User Stories, Designing Information Architecture, and Mapping User & Task Flows

Design

Bringing Ideas to Life: Developing Low and High-Fidelity Wireframes, Prototypes, and Crafting the Brand Identity

Deliver

Refining and Delivering: Conducting User Testing, Gathering Real-Time Feedback, Iterating Designs, and Finalizing the Handover

Discover

From Research to Pixel-Perfect Execution: A Thoughtful Design Journey.

User Research

Target Users:
• Business Analysts & Product Managers – Need clear insights from legacy systems to plan modern features.
• Software Developers & Architects – Require structured documentation to refactor and migrate old code efficiently.
• IT & Operations Teams – Need clarity on how legacy systems interact with business processes.
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User Pain Points:
• Difficulty in understanding legacy code structure.
• Lack of collaboration between technical and non-technical teams.
• Slow modernization and migration processes due to unclear system documentation.
Problem Space
Legacy systems power many industries, including finance, healthcare, and government. However, they present challenges such as:
Complexity & Lack of Documentation – Legacy codebases are often poorly documented, making it difficult for new developers and business stakeholders to understand.
High Maintenance Costs – Outdated systems require extensive resources to maintain and upgrade.
Business & Technical Misalignment – Non-technical stakeholders struggle to grasp system functionality, slowing decision-making and innovation.
Market Analysis
No unified tool bridges code analysis, user stories, and team collaboration.
Current Solutions: Existing tools like static code analyzers, reverse engineering platforms, and automated documentation generators provide partial solutions but lack a holistic approach.
Gap in the Market: There is no single tool that extracts detailed, structured insights from legacy systems while making them understandable for non-technical users.
Key Insights
Legacy modernization is hindered by unclear documentation and technical complexity.
Legacy modernization needs a collaborative approach that involves both technical and business stakeholders.
An ideal solution should automate technical documentation while making it accessible to non-technical users.
Providing detailed user stories from legacy code can help teams transition systems efficiently.

Competitive Analysis

From Research to Pixel-Perfect Execution: A Thoughtful Design Journey.

TOOL

1. Code Documentation Tools
2. Reverse Engineering Software
3. AI-Powered Code Assistants

STRENGTH

- Auto-generates documentation
- Visualizes system architecture
- Helps developers refactor code

WEAKNESSES

- Often lacks deep business context
- Can be too complex for non-technical users
- Does not bridge the gap for business users

Define

Creating User Personas & User Stories, Designing Information Architecture, and Mapping User & Task Flows

➼ “As a Business Analyst, I want to translate complex legacy code into clear, structured user stories so that I can align business needs with technical constraints and make informed decisions.”
➼ As a Software Architect, I want an automated tool to extract and visualize system logic from legacy code so that I can streamline modernization efforts and collaborate effectively with business teams.

Learnings

Working on Legacy Lift taught me the intricacies of upgrading legacy systems while maintaining their core functionalities. I gained insights into simplifying complex codebases for non-technical stakeholders and balancing automation with human oversight. This experience highlighted the importance of structured documentation and AI-driven code interpretation.

Outcomes

Legacy Lift transformed outdated systems by extracting meaningful insights and converting legacy code into scalable, modern architectures. The platform enabled non-technical users to understand complex code structures, bridging communication gaps between teams. The success of Legacy Lift led to stakeholder buy-in for enterprise-level implementations.

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I create intuitive digital experiences and user-centric interface designs.

With over five+ years of experience, I have collaborated with startups and businesses to design and develop web and app solutions of all scales.

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