A Ground Up Redesign of an E-commerece Experience

A Ground Up Redesign of an Entire
E-commerece Experience

Overview

Barnes & Noble needed a more intuitive, trustworthy, and conversion-focused digital experience that could better support browsing, discovery, loyalty, and cross-channel shopping. The needs went beyond a simple facelift, the entire digital experience needed a core restructuring.

Key Decision & Impact

In addition to fulfilling clearly stated product requirements and scope, I identified an opportunity to support Barnes & Noble’s goal of becoming a trusted book authority. Using a combination of research signals, competitive patterns, and my own judgment, I proposed a dedicated editorial “What to Read” experience. This direction was adopted into final designs and ultimately shipped, helping translate a business objective into a tangible product feature.

Key Contributions

1. Led primary research, including interviews, card sorting, and tree testing

2. Used data-informed decision-making to improve findability, browsing, and conversion opportunities

3. Created IA recommendations for navigation, category structure, and labeling systems

4. Partnered cross-functionally with stakeholders to align UX decisions with business goals

5. Owned UX solutions across audiobooks, wish lists, loyalty, and the company blog

Role

UX/UI Designer, Lead UX Researcher, IA Design

Tools

Figma, Miro, Optimal Sort, Fig Jam. Microsoft Teams

Company & Year

Barnes and Noble | 2023-2024

The Problem

  • Navigation and labels didn’t match user mental models, limiting discovery

  • Inconsistent UI and structure weakened trust and usability

  • The experience did not fully support key business goals

Opportunities

  • Align structure and labeling with how users browse and think

  • Strengthen trust through consistency and clarity

  • Improve discovery to better support conversion, loyalty, and engagement

The Process

The Process

Research and Discovery

  • Gathered signals from primary research: user interviews, mental models, card sorting, and tree testing

  • Synthesized secondary inputs: personas, journey maps, and competitive analysis into a “best practices” guide

  • Identified patterns in user
    expectations and discovery behaviors

  • Partnered closely with stakeholders and cross-functional teams to align on goals and priorities

  • Gathered signals from primary research: user interviews, mental models, card sorting, and tree testing

  • Synthesized secondary inputs: personas, journey maps, and competitive analysis into a “best practices” guide

  • Identified patterns in user

    expectations and discovery behaviors

  • Partnered closely with stakeholders and cross-functional teams to align on goals and priorities

  • Gathered signals from primary research: user interviews, mental models, card sorting, and tree testing

  • Synthesized secondary inputs: personas, journey maps, and competitive analysis into a “best practices” guide

  • Identified patterns in user
    expectations and discovery behaviors

  • Partnered closely with stakeholders and cross-functional teams to align on goals and priorities

Information Architecture

  • Defined a scalable site structure with a shallow hierarchy to enable faster navigation (targeting ≤3 clicks to key destinations)

  • Created a clear catalog and labeling system aligned with user mental models

  • Established system rules for navigation vs. filtering to reduce complexity

  • Mapped end-to-end user journeys through wireflows to validate structure and pathways

Design, Iterate, Design, Iterate

  • Rapidly explored solutions through multiple rounds of low-, mid-, and high-fidelity prototypes

  • Used design reviews and stakeholder feedback to continuously refine direction

  • Collaborated closely with the UX team to evaluate options and converge on the strongest solutions

  • Prioritized speed and clarity—using prototypes to test ideas and drive decisions forward

Oh hey 👀 - you made it this far. Want to see more? Let’s talk.

Oh hey 👀 - you made it this far. Want to see more? Let’s talk.

Solutions and Next Steps

  • Delivered scalable IA and navigation patterns across key experiences

  • Partnered through build and QA to ensure alignment and quality

  • Used post-launch testing and feedback to guide ongoing improvements

Solutions and Next Steps

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