Web Design
Designing with Purpose:
Workly - UX Design for Flexible Work
• User Research • Wireframing • Accessibility Focus
The Problem Worth Solving
Finding flexible work should be simple, yet students and part-time workers often spend hours searching across disconnected platforms and social media channels.
Workly was created to explore how research-driven UX design could reduce friction, improve trust, and make discovering local opportunities significantly faster and more intuitive.
Understanding Real User Behaviour
The project started with user interviews, surveys, competitive analysis and secondary research to understand how people actually search for flexible jobs.
Instead of making assumptions, every design decision was based on real insights, accessibility principles and iterative validation throughout the design process.
From Insights to Design Decisions
Research highlighted recurring pain points:
fragmented information
lack of trust
inconsistent user flows
poor mobile experiences
unnecessary cognitive load
These findings became the foundation for the information architecture, navigation and interaction design.
Mobile-First Experience
The interface was designed mobile-first, recognising that the majority of users search for opportunities directly from their phones.
Clear hierarchy, simplified navigation and reduced cognitive load were prioritised throughout the experience.
Accessibility & Inclusive Design
Accessibility was considered from the beginning rather than added afterwards.
The design focused on readable typography, logical navigation, colour contrast, predictable interactions and WCAG-inspired design decisions to support a wider range of users.
Continuous Iteration
Concepts evolved through repeated testing, evaluation and refinement.
Feedback loops informed improvements to layouts, interaction patterns and overall usability, creating a more intuitive experience over time.
Reflection
This project reinforced one of the most valuable lessons in UX:
The real challenge isn't designing beautiful interfaces , it's understanding the right problem before designing the solution.
Research, empathy and evidence consistently proved more valuable than assumptions.