Nigar Aliyeva (UX/UI Designer)

Led design efforts at Anderson across various products, addressing user and business challenges through the full design cycle: research, prototyping, visual design, and interface testing.

Key Projects and Achievements:

• KYC in FinTech: Users often struggled with the verification process, making mistakes when uploading documents. I designed a step-by-step interface with visual cues and examples of correct submissions, resulting in a 35% increase in successful KYC completions.
• Bank Transfers: A high rate of errors occurred during transfers between accounts and cards. I created a user-friendly transfer form with instant validation, helpful prompts, and error prevention, reducing mistakes by 40%.
• Mobile Notifications & Micro-interactions: Users were ignoring important transaction notifications. I redesigned notifications based on priority and context, making them clearer and more noticeable, boosting engagement by 25%.

Key Projects & Achievements:

• E-commerce Checkout (Fashion) – complex checkout led to abandoned carts. Optimized IA, wireframes, and checkout flow using AI tools → conversion +15–25%, drop-offs reduced
• CRM & SaaS Dashboards – overloaded interfaces slowed users. Simplified via IA restructuring and high/low-fidelity prototypes with AI-supported scenarios → task completion +20–30%
• Redesign Projects – modernized outdated interfaces through UX audits, wireframes, and design systems with AI-assisted ideation → engagement +20%

Key Projects & Achievements:

• Restaurant Booking Flow – users dropped off during reservations due to unclear availability. Redesigned with CJM, user flows, and wireframes using AI tools → drop-off reduced by 30%, completion increased
• Mobility & Fitness Onboarding – users faced confusion and frequent errors. Built onboarding via task flows and prototypes with AI-supported edge-case exploration → errors reduced 30%, retention increased
• Job Search Platform – inefficient filtering and navigation. Redesigned using user journeys and UX patterns with AI-assisted logic → search efficiency +25%