Project details

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Client:

iVegan

Tool:

Figma

iVegan case study

The iVegan UX/UI case study focuses on improving the digital shopping experience for Italy’s largest distributor of vegan food products. iVegan provides fast and reliable nationwide delivery and operates a physical store in Rome.

The project aimed to refine the website’s usability, accessibility, and overall design to create a more seamless and engaging customer experience. Through competitors analysis, user research, and redesign strategies, the study presents an enhanced e-commerce platform tailored to the needs of vegan shoppers.

Goals

  • Streamlining Product Discovery: Implementing robust filtering options and improving content hierarchy to simplify browsing and purchasing decisions.

  • Enhancing Brand Identity: Modernizing visual elements, typography, and color palettes to reinforce iVegan’s identity as a trusted provider of plant-based products.

  • Improving Accessibility: Updating design elements to align with current accessibility standards, ensuring inclusivity for all users.

  • Competitor Benchmarking & User Research: Conducting market analysis and user testing to refine site features based on real customer needs.

Goals

  • Streamlining Product Discovery: Implementing robust filtering options and improving content hierarchy to simplify browsing and purchasing decisions.

  • Enhancing Brand Identity: Modernizing visual elements, typography, and color palettes to reinforce iVegan’s identity as a trusted provider of plant-based products.

  • Improving Accessibility: Updating design elements to align with current accessibility standards, ensuring inclusivity for all users.

  • Competitor Benchmarking & User Research: Conducting market analysis and user testing to refine site features based on real customer needs.

Goals

  • Streamlining Product Discovery: Implementing robust filtering options and improving content hierarchy to simplify browsing and purchasing decisions.

  • Enhancing Brand Identity: Modernizing visual elements, typography, and color palettes to reinforce iVegan’s identity as a trusted provider of plant-based products.

  • Improving Accessibility: Updating design elements to align with current accessibility standards, ensuring inclusivity for all users.

  • Competitor Benchmarking & User Research: Conducting market analysis and user testing to refine site features based on real customer needs.

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Results

  • The new product filtering system significantly improved searchability, allowing users to refine selections based on categories, availability, and pricing.

  • The wishlist functionality was restored, making it easier for customers to save and revisit their favorite items.

  • The enhanced checkout experience minimized friction by integrating express payment options and simplifying order summaries.

  • The user testing phase confirmed increased satisfaction and ease of navigation, validating design decisions with real user feedback.

Results

  • The new product filtering system significantly improved searchability, allowing users to refine selections based on categories, availability, and pricing.

  • The wishlist functionality was restored, making it easier for customers to save and revisit their favorite items.

  • The enhanced checkout experience minimized friction by integrating express payment options and simplifying order summaries.

  • The user testing phase confirmed increased satisfaction and ease of navigation, validating design decisions with real user feedback.

Results

  • The new product filtering system significantly improved searchability, allowing users to refine selections based on categories, availability, and pricing.

  • The wishlist functionality was restored, making it easier for customers to save and revisit their favorite items.

  • The enhanced checkout experience minimized friction by integrating express payment options and simplifying order summaries.

  • The user testing phase confirmed increased satisfaction and ease of navigation, validating design decisions with real user feedback.

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