Alva Labs

Building an accessible recruitment platform




Overview

Alva Labs is a Swedish candidate assessment platform that combines science and technology to create fairer hiring processes. Their platform helps companies discover overlooked talent through personality tests, logic assessments, and technical evaluations - all while delivering an excellent candidate experience.

I joined as a Senior Product Designer consultant in August 2024 to support their design team, focusing on three key initiatives: enhancing accessibility, improving the marketplace experience, and exploring AI-powered recruitment tools.


  • My contribution

    • UX Research
    • UX Design
    • UI Design
    • Design System
    • Prototyping
    • Accessibility Design
    • Front-End Development
  • Team

    • 1 x Senior Product Designer ✦
    • 2 x UX Designers
    • 3 x Engineers
    • 1 x Product Manager
  • Tools

    • Figma
    • HTML/CSS
    • JavaScript
    • Accessibility Testing Tools
  • Year

    • 2024-2025

The Accessibility Challenge

The journey began with an accessibility audit conducted by Access Lab Stockholm, experts in digital accessibility. The results revealed several critical areas for improvement:

AfterBefore
The CSS framework transformed Alva Labs with accessible dark mode, enhancing readability and reducing eye strain for all users.

With my experience creating and maintaining scalable design systems, I recognized that addressing these issues required more than just individual fixes. It called for a systematic approach that would ensure accessibility was built into the foundation of Alva's digital experience.

Separating style from logic to create accessible, consistent components that developers can implement with confidence.

Building the Alva CSS Framework

Drawing from my experience with design systems at Changr and G-Loot, I proposed and led the development of a comprehensive CSS framework that would address these accessibility challenges while providing a solid foundation for future development.

The Alva CSS Framework provided many accessible components.

The Alva CSS Framework was built on several key principles:

Scientifically-designed palettes that ensure optimal contrast in both light and dark modes.

I conducted extensive work on the color system, creating a palette that ensured optimal contrast in both light and dark modes. Each interactive element was designed with consistent focus and active states, making the platform navigable for keyboard users. Text sizing followed a clear hierarchy that maintained readability across devices, and click areas were expanded to improve usability for users with motor limitations.

Tailored components that maintain brand identity while ensuring every interaction meets accessibility standards.
Fresh visuals designed to reinforce Alva Labs' friendly, professional brand personality.

Enhancing the Alva Marketplace

Beyond accessibility, I also contributed to enhancing the Alva Marketplace experience. The marketplace allows candidates to save their assessment results (logic, personality) and connect with suitable job opportunities. Unlike traditional platforms, Alva has a unique advantage: it knows candidates' personality and logic profiles and can match them with more compatible positions.

Streamlined assessment access: An intuitive, barrier-free entry point designed to welcome candidates of all abilities to Alva's assessment platform.

The challenge was to maximize conversion to the marketplace without negatively impacting the excellent candidate experience (91%+ completion rate). Working with the Candidate Experience team, we created a contextual onboarding system that intelligently prompts candidates to provide additional information at optimal moments:

Mapping key moments in the candidate journey to introduce marketplace features without disrupting the assessment experience.

This strategic approach, implemented through what we called a 'wizard' interface, increased marketplace signup rates from 5% to 25% in just four months (October 2024 to February 2025).

The conversion wizard in action: Our contextual onboarding system that intelligently engages candidates post-assessment, increasing marketplace signups from 5% to 25%.

Exploring AI-Powered Recruitment

The third project involved creating prototypes to explore how AI could transform the recruitment process. Using our new CSS framework, I designed interfaces that demonstrated how AI agents could help talent acquisition managers:

The future of recruitment: Our AI-powered prototype demonstrates how natural conversation and structured data collection can revolutionize how teams define roles and discover talent.

These prototypes not only showcased the potential of AI in recruitment but also demonstrated the flexibility and adaptability of our new CSS framework.

Reflections

My six months at Alva Labs were a powerful reminder of how thoughtful design can make digital experiences more accessible, efficient, and inclusive. The CSS framework we developed did more than just address immediate accessibility issues – it established a foundation for sustainable, accessible design that will benefit both the company and its users for years to come.

The success of the marketplace enhancements demonstrated that improved user experience and business goals can go hand in hand when approached with strategic thinking. And our AI prototypes pointed the way toward exciting future innovations that could further revolutionize the recruitment process.

Most importantly, this project reinforced my belief in the transformative power of systematic design approaches. By building accessibility, consistency, and flexibility into the core of our design system, we created a ripple effect that improved experiences across the entire platform.