Helping User's Find Their Size While Shopping Online

Helping User's Find Their Size While Shopping Online

Tata Cliq, Client Project

Role - Product Designer, Owned the designs for this feature

Tata Faced High Apparel Returns

Tata Cliq is a luxury e-commerce retailer based in India, serving over 4M daily mobile users. Tata faced high apparel return rates that were largely attributed to customers struggling to find the right size when shopping online ( ~ 83.5% of the returns were due to size issues). Our research confirmed the hypothesis and gave us insights into user's struggles that guided a four-part solution -


1. Modified product display page to highlighted size recommendations
2. A personalised "Find My Size" experience
3. Customer reviews enhanced with sizing insights from previous buyers
4. Modified size chart to improve clarity and accessibility of sizing details

An Iterative Approach rooted in Data

We followed a highly iterative design process that was rooted in data & user feedback.

Guessing your Size is a cognitive shortcut

Overall, habitual sizing speeds up the decision making process and reduces decision fatigue. It becomes a coping mechanism to navigate the sizing uncertainties while online shopping. The reliance on guesswork often stems from a few key factors:

Quick Decision-Making

Quick Decision-Making

Quick Decision-Making

Free Returns Promote Guesswork

Quick Decision-Making

Confidence in Personal Judgment

Lack of Reliable Guides

Inconveniene - measuring & interpreting size charts is

The Role of Mental Maps and Sizing Complexity

Over time, users develop a mental map of how certain brands fit them based on past experiences. They use this as a guide instead of checking the size guide every time, assuming their size in one brand will fit similarly in another.

Lack of Standardization in Sizing

Mental Map for Loyal Brands

Brand-Specific Size Variability

Fit & Material Variability

Explorations

Since the goals & user characteristics of our 3 user groups are very different, I though of having different features and information available based on the user's role in the company.

A Multi-Fold Approach

While our primary solution is a fit assistance & enhanced chart. They require some effort from the user. Seeing that less than 8% users click on size chart, we may see users who do not engage with these tools. We want to make sizing information evident on pages users will def interact with - that is reviews (that sees a great engagement rate), PDP page - where they have to select their size to add to cart.

Fit Assistant

Enhanced Customer Reviews

Highlighting Recommendation Upfront

Size Chart Redesign

Personalisation with the Fit Assistant

Size Chart Redesign : Providing Adequate Information

PDP Changes: Making it sizing considerations evident

Customer Insights into Size