Enhancing the Online Clothing Shopping Experience

Real user research based UX concept project aimed to understand the challenges and motivations of users when shopping for clothes online

Overview

This project aimed to understand the challenges and motivations of users when shopping for clothes online, and to identify UX opportunities that could improve their confidence, trust, and decision-making.

While the research was conducted with real users, the resulting design solutions were conceptual explorations derived from actual user insights.

Tools: Google Forms, Miro, Figma
Methods: Quantitative survey, qualitative open responses, user interviews, insight synthesis, persona creation.

Problem Statement

Online clothing shoppers often experience difficulty making confident and satisfying purchase decisions, highlighting a need for more supportive and trustworthy digital experiences.

Research Goals

Understand user motivations and barriers in online clothing shopping.

Understand user motivations and barriers in online clothing shopping.

Understand user motivations and barriers in online clothing shopping.

Identify pain points that reduce trust and lead to cart abandonment.

Identify pain points that reduce trust and lead to cart abandonment.

Identify pain points that reduce trust and lead to cart abandonment.

Explore preferences for features, payment modes, and support experiences.

Explore preferences for features, payment modes, and support experiences.

Explore preferences for features, payment modes, and support experiences.

Discover opportunities for UX improvements that increase confidence and satisfaction.

Discover opportunities for UX improvements that increase confidence and satisfaction.

Discover opportunities for UX improvements that increase confidence and satisfaction.

Research Methodology

A mixed-method approach was used to capture both statistical patterns and user experiences in online clothing shopping behavior.

Quantitative Research

An online survey was conducted with 20 participants aged 18–35 who regularly purchase clothing online. The survey collected data on demographics, platform preferences, purchase frequency, decision factors, and satisfaction levels.

Quantitative Research

An online survey was conducted with 20 participants aged 18–35 who regularly purchase clothing online. The survey collected data on demographics, platform preferences, purchase frequency, decision factors, and satisfaction levels.

Quantitative Research

An online survey was conducted with 20 participants aged 18–35 who regularly purchase clothing online. The survey collected data on demographics, platform preferences, purchase frequency, decision factors, and satisfaction levels.

Qualitative Research

Open-text questions captured user stories and detailed accounts of positive and negative experiences, providing emotional context why users hesitated, what they appreciated, and what improvements they desired. In addition, user interviews were conducted to deepen understanding of individual behaviors, motivations, and pain points. These conversations offered richer narratives and clarified patterns observed in the survey responses.

Qualitative Research

Open-text questions captured user stories and detailed accounts of positive and negative experiences, providing emotional context why users hesitated, what they appreciated, and what improvements they desired. In addition, user interviews were conducted to deepen understanding of individual behaviors, motivations, and pain points. These conversations offered richer narratives and clarified patterns observed in the survey responses.

Qualitative Research

Open-text questions captured user stories and detailed accounts of positive and negative experiences, providing emotional context why users hesitated, what they appreciated, and what improvements they desired. In addition, user interviews were conducted to deepen understanding of individual behaviors, motivations, and pain points. These conversations offered richer narratives and clarified patterns observed in the survey responses.

Questionnaire

Questionnaire

Questionnaire

Key UX Insights

Key UX Insights

Key UX Insights

Mobile-first shopping behavior

Most users prefer mobile apps for clothing purchases due to ease of use, faster navigation, and convenient browsing during commutes or breaks.

Mobile-first shopping behavior

Most users prefer mobile apps for clothing purchases due to ease of use, faster navigation, and convenient browsing during commutes or breaks.

Mobile-first shopping behavior

Most users prefer mobile apps for clothing purchases due to ease of use, faster navigation, and convenient browsing during commutes or breaks.

Purchase drivers: Reviews, Style, and Price

Users identified product reviews, style options, and price as the most influential factors when deciding to buy.

Purchase drivers: Reviews, Style, and Price

Users identified product reviews, style options, and price as the most influential factors when deciding to buy.

Purchase drivers: Reviews, Style, and Price

Users identified product reviews, style options, and price as the most influential factors when deciding to buy.

UPI is the preferred payment method

A large percentage of users prefer UPI due to its convenience and security perception.

UPI is the preferred payment method

A large percentage of users prefer UPI due to its convenience and security perception.

UPI is the preferred payment method

A large percentage of users prefer UPI due to its convenience and security perception.

Frustrations with customer support

Participants mentioned slow responses and unclear return or refund processes as major frustrations.

Frustrations with customer support

Participants mentioned slow responses and unclear return or refund processes as major frustrations.

Frustrations with customer support

Participants mentioned slow responses and unclear return or refund processes as major frustrations.

Strong reliance on reviews and ratings

Reviews and ratings greatly impact first-time or high-value purchases. Lack of authentic reviews causes hesitation.

Strong reliance on reviews and ratings

Reviews and ratings greatly impact first-time or high-value purchases. Lack of authentic reviews causes hesitation.

Strong reliance on reviews and ratings

Reviews and ratings greatly impact first-time or high-value purchases. Lack of authentic reviews causes hesitation.

Interest in innovative shopping features

Many users expressed curiosity about virtual try-on, AI recommendations, and outfit-matching tools.

Interest in innovative shopping features

Many users expressed curiosity about virtual try-on, AI recommendations, and outfit-matching tools.

Interest in innovative shopping features

Many users expressed curiosity about virtual try-on, AI recommendations, and outfit-matching tools.

Desire for better usability and transparency

Users highlighted cluttered layouts, poor product categorization, and unclear return policies as key frustrations.

Desire for better usability and transparency

Users highlighted cluttered layouts, poor product categorization, and unclear return policies as key frustrations.

Desire for better usability and transparency

Users highlighted cluttered layouts, poor product categorization, and unclear return policies as key frustrations.

Pain Points Summary

Pain Points Summary

Pain Points Summary

Insufficient product information

Leads to uncertainty about fit, quality, and trust, causing hesitation or drop-offs during purchase.

Insufficient product information

Leads to uncertainty about fit, quality, and trust, causing hesitation or drop-offs during purchase.

Insufficient product information

Leads to uncertainty about fit, quality, and trust, causing hesitation or drop-offs during purchase.

Checkout friction

Complex or lengthy checkout flows reduce convenience and result in cart abandonment.

Checkout friction

Complex or lengthy checkout flows reduce convenience and result in cart abandonment.

Checkout friction

Complex or lengthy checkout flows reduce convenience and result in cart abandonment.

Customer support challenges

Slow responses and unclear return policies frustrate users and lower brand trust.

Customer support challenges

Slow responses and unclear return policies frustrate users and lower brand trust.

Customer support challenges

Slow responses and unclear return policies frustrate users and lower brand trust.

Suboptimal homepage experience

Cluttered layouts and irrelevant recommendations make navigation confusing and less engaging.

Suboptimal homepage experience

Cluttered layouts and irrelevant recommendations make navigation confusing and less engaging.

Suboptimal homepage experience

Cluttered layouts and irrelevant recommendations make navigation confusing and less engaging.

User Personas

Here are two user personas based on the insights and pain points identified:

Background

Anshika is a fashion enthusiast with a deep passion for style and aesthetics. As a fashion stylist, she is always exploring new trends and experimenting with different looks. Anshika values creativity and individuality in her wardrobe choices and enjoys discovering unique pieces from emerging designers and boutique brands.

Behavior and Preferences

Anshika prefers using both mobile apps and websites for shopping, depending on her mood and the nature of her search. She appreciates the convenience of mobile apps for quick browsing on the go but enjoys the more comprehensive experience of websites for detailed exploration.

She places a high value on product reviews, style options, and brand reputation when making purchasing decisions. Anshika loves trying out new brands and styles but prioritizes quality and fit in her selections.

Anshika is particularly interested in the virtual try-on feature, as it allows her to visualize how different clothing items will look on her body before making a purchase. She enjoys the interactive and personalized shopping experience it provides.

Pain Points

Anshika feels frustrated when she cannot find the virtual try-on feature available on certain e-commerce platforms. Without this feature, she is hesitant to purchase clothing items online, as she cannot accurately gauge how they will look on her body.

She may also encounter challenges with inconsistent product sizing or fit, leading to disappointment and dissatisfaction with her purchases. Without the ability to try on clothing virtually, Anshika may be more cautious about taking risks with new brands or styles.

While Anshika values convenience and efficiency in her shopping experience, she expects seamless navigation and responsive customer support. Issues such as slow-loading pages or unresponsive customer service may deter her from completing her purchase.

Customer Journey Mapping

The customer journey mapping exercise provided a clear understanding of how user emotions fluctuate across the shopping experience from initial excitement to post-purchase frustration.

Through Iyra’s journey, several key insights and actionable design opportunities were identified

Inspiration to Exploration Gap

While users are highly motivated by social media trends, platforms fail to offer a seamless way to discover similar styles. Integrating real-time trend sections and wish-listing features can bridge this gap.

Information Confidence

Unclear product details and low-quality visuals cause hesitation. Enhancing visual presentation, adding size recommendations, and including try-on features can build purchase confidence.

Trust and Validation

User trust strengthens through peer validation. An improved review system with user photos and verified feedback creates reassurance during decision-making.

Checkout Simplicity

Complex flows create drop-offs. Streamlining the checkout process, adding progress indicators, and offering multiple payment options help reduce friction.

Post-Purchase Transparency

Communication gaps after checkout lead to anxiety and dissatisfaction. Real-time notifications, delivery tracking, and easy return workflows ensure transparency and trust.

Information Architecture

To build a clear, user centered structure for an online clothing shopping platform that connects social media–driven inspiration with effortless discovery, confident purchasing, and smooth post-purchase support.

The information architecture was developed from scratch based on user research insights and journey mapping.

Integrate social inspiration into the core browsing experience.

Integrate social inspiration into the core browsing experience.

Integrate social inspiration into the core browsing experience.

Integrate AI tryout feature to support easy decision

Integrate AI tryout feature to support easy decision

Integrate AI tryout feature to support easy decision

Reduce cognitive load by grouping related functions logically.

Reduce cognitive load by grouping related functions logically.

Reduce cognitive load by grouping related functions logically.

Ensure intuitive task flow from discovery to post-purchase.

Ensure intuitive task flow from discovery to post-purchase.

Ensure intuitive task flow from discovery to post-purchase.

Support emotional continuity — maintaining excitement while minimizing friction.

Support emotional continuity — maintaining excitement while minimizing friction.

Support emotional continuity — maintaining excitement while minimizing friction.

Reflection

This project helped me strengthen my ability to translate real research insights into actionable UX improvements. I learned the importance of balancing quantitative data with qualitative empathy, and how subtle structural changes can transform user satisfaction.

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