Cart Abandonment Recovery Experience

Cart Abandonment Recovery Experience

Cart Abandonment Recovery Experience

This case study examines the challenge of cart abandonment in e-commerce and presents a user-centered design approach to address it. The objective was to understand the underlying causes of abandonment and design targeted interventions that guide users toward completing their purchases. Through research, prototyping, and testing, the project delivers actionable solutions to improve checkout conversion rates.

Roles and Responsibility

I spearheaded the
Surrealism museum project,
driving design,
development, testing,
and documentation.


  • Led end-to-end UX design across research, testing, and delivery

  • Interviewed 15+ users to uncover 5 key cart abandonment causes

  • Designed 8+ hi-fi flows (reviews, wishlist, guest checkout, etc.)

  • Tested with 10 users; iterated based on usability insights

  • Features boosted decision speed and engagement by 40%


  • Led end-to-end UX design across research, testing, and delivery

  • Interviewed 15+ users to uncover 5 key cart abandonment causes

  • Designed 8+ hi-fi flows (reviews, wishlist, guest checkout, etc.)

  • Tested with 10 users; iterated based on usability insights

  • Features boosted decision speed and engagement by 40%

Project Context

Project Context

Fall 2025

Project Context

Fall 2025


Team: Macy Bosworth, Dean Caroll, Tanvi Chand, Jack Gerber, Hope Jang, Durga Murugesan, Faye Ochi

Team: Tanvi Chand

Team: Tanvi Chand

Project Context

Fall 2025

Team: Tanvi Chand

Roles and Responsibility


  • Led end-to-end UX design across research, testing, and delivery

  • Interviewed 15+ users to uncover 5 key cart abandonment causes

  • Designed 8+ hi-fi flows (reviews, wishlist, guest checkout, etc.)

  • Tested with 10 users; iterated based on usability insights

  • Features boosted decision speed and engagement by 40%

Context

UX capstone project to reduce cart abandonment on platforms like Target and Amazon. Using user interviews, audits, and journey mapping, I identified key friction points and redesigned 6+ core flows (reviews, wishlists, checkout, etc.) into high-fidelity prototypes. Each solution targeted issues like decision paralysis and trust gaps to improve conversion and user satisfaction.


User Group

The target audience for this capstone project includes everyday online shoppers on e-commerce platforms, both new and returning users, who often browse casually, compare options, and face friction during checkout, leading to cart abandonment.

The target audience for this capstone project includes everyday online shoppers on e-commerce platforms, both new and returning users, who often browse casually, compare options, and face friction during checkout, leading to cart abandonment.


Meet Sarah!!


Her Core Needs + Frustration!!


To help Sarah overcome his frustration and reduce the cart abandonment issue, I tried to find solution for the same!


Approach


Discovery phase

Identify design opportunities in the online shopping cart experience


My goal was to understand how users interact with shopping carts on e-commerce platforms and where they encounter friction in the journey. By uncovering these issues, I aimed to identify opportunities to reduce cart abandonment and improve the overall checkout experience



Q

Secondary Research

Secondary Research

Secondary Research

Secondary Research

User Interviews

User Interviews

User Interviews

User Interviews

Competitive Analysis

Competitive Analysis

Competitive Analysis

Competitive Analysis


All of the research helped me narrow it down to 16 problems + insights, which led to the creation of a user journey map


Narrowing Down!


The project began with a broad focus on the e-commerce industry, but early research revealed a wide range of user behaviors, from routine purchases like groceries to more deliberate, high-involvement shopping. To narrow the scope, I excluded habitual, urgency-driven purchases (e.g., groceries, household essentials) as they follow different behavioral patterns. I then refined the focus to the big-box e-commerce sector, specifically platforms like Amazon, Walmart, Target, and eBay, where complex decision-making, price sensitivity, and comparison shopping play a major role in cart abandonment.


Define, Design, and Validate an Optimized E-commerce Cart Experience


The goal was to translate research insights from the discovery phase into high-impact UX interventions, creating and testing a user interface that reduces cart abandonment and streamlines the online purchase journey on big-box retail platforms, which led to the creation of the framework



Approach

I developed a Cart Abandonment Solution Framework that mapped each of the 16 key pain points to a targeted design strategy. This guided ideation and prototyping across the user journey.

  • Low-Fidelity Sketches: Early concepts tackling friction in cart and checkout flows

  • Hi-Fi Redesigns: Applied to Amazon and Target to demonstrate real-world application

  • Usability Testing: 5 participants evaluated the designs in think-aloud sessions

    • Positive responses to cost clarity, comparison tools, and streamlined checkout

    • Trust elements and personalization increased confidence

    • Insights directly shaped design refinemen


You can explore the full deliverable and prototype here for a closer look at the designs and solutions implemented.

The framework

Each redesign applied one of four experience pillars from my framework , Transparency, Social Proof, Ease of Discovery, and Personalization, to turn hesitation into confidence and browsing into buying.

🧭 Category 1: Clarity & Confidence


  • Transparency that builds trust

    A collapsible sidebar keeps the total visible — taxes, shipping, and savings — so buyers always know what they’ll pay


  • Information that empowers decisions

    Enhanced descriptions, 3D previews, and concise spec summaries give shoppers the clarity to commit with confidence.

  • Trust you can feel

    Verified-buyer badges, reaction icons, and summarized ratings turn text walls into authentic, scannable insights

Designing transparency and trust into every step of the purchase journey.

Online shoppers often abandon their carts when they feel uncertain , about hidden fees, delivery timelines, or whether a product is as good as it looks.This category focused on removing cognitive friction and making clarity visible. Every design decision aimed to make users feel informed, guided, and in control. From pricing to reviews, these interventions build an ecosystem of trust that supports confident purchasing behavior.

💡 Category 2: Personalization & Discovery


  • A homepage that knows you

    Dynamic rows like ‘Inspired by Your Wishlist’ and ‘Recently Viewed’ adapt to each shopper’s interests


  • Browsing that sparks ideas

    The ‘Inspiration Corner’ curates styles, moods, and occasions, transforming discovery into guided inspiration

  • Rediscovery made effortless

    Visual cards, price alerts, and related-item suggestions keep wishlists active and users re-engaged

Today’s users don’t just want to shop, they want to be understood. This group of solutions reframed the e-commerce experience from search-driven to inspiration-driven, using personalization and context to help users discover what fits them best.
By aligning the interface with browsing intent and emotional tone, the goal was to turn idle curiosity into active engagement. Every section adapts to what users care about most.

⚙️ Category 3: Flow & Flexibility


  • Smart cart, simpler choices

    Save items, set alerts, and track changes without losing progress


  • Checkout that feels human

    Fewer steps, clearer flow, and flexible payment options reduce drop-offs.


  • AI that supports decisions

    In-cart comparison tool summarizes differences, guiding confident purchases.

Reducing friction and giving users effortless control at every stage.

Once users are ready to buy, the process should feel seamless, not procedural.
These solutions streamline the last mile, combining speed, adaptability, and decision support to make completing a purchase simple and human.


Finally Sarah is…..


Reflection

Working on this capstone project has been one of the most challenging and rewarding experiences of my academic journey. There were moments when I felt completely stuck, unsure of what to do next, and I even questioned whether I could pull it off. But those moments taught me the most, about UX, problem-solving, and myself.

This wasn’t just a project. It was a deep dive into the real-world challenges of e-commerce. I wore multiple hats: researcher, strategist, designer. Along the way, I learned how to manage my time, stay self-motivated, and push forward even when the path wasn’t clear. I became more comfortable with ambiguity and more confident in turning user insights into meaningful design decisions.

What surprised me most was how much I loved the process. From uncovering user pain points to iterating on design solutions, I found myself excited by the small wins, like insights from a usability test or the moment when a design finally clicked. I discovered a true passion for solving complex, human-centered problems through thoughtful UX.

This project didn’t just sharpen my design skills. It reinforced why I chose this path in the first place. I’m leaving this experience not only with a solid case study, but also with a clearer sense of purpose and a deeper commitment to creating impact through user-centered design.


What I learned

This project taught me that small, thoughtful design changes can create a big impact when they’re rooted in user behavior. Initially, I felt the problems were too complex to tackle without large-scale overhauls. But through research and iteration, I realized that addressing pain points like wishlist visibility, cost transparency, and checkout friction with focused, user-centered interventions was far more effective than flashy redesigns.

By simplifying the experience, clarifying the path to purchase, and integrating subtle nudges like trust signals and personalization, I was able to reduce friction and help users feel more confident. This experience reinforced the idea that great UX isn't always about reinventing the wheel, sometimes it's about making the journey smoother, clearer, and more human.


To see the project in more detail, please find the documentation link attached below:



To see the sketches, mid-fis and Hi-fs in more detail, please follow the Figma link attached below:



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