All work

CASE STUDY · MSc DISSERTATION · E-COMMERCE

EBAY 2.0

Why do people who shop online every week still choose Amazon over eBay, and what would make them trust it?

PROBLEM

Most of the 9 eBay users I interviewed shopped on Amazon or Flipkart out of habit and trust. Many thought eBay only sold used goods, and the site did nothing to correct that.

MY ROLE

Solo: research, analysis, design and evaluation, end to end.

METHODS

9 interviews, thematic analysis, sketching, Figma prototypes, side-by-side testing with 13 evaluators.

TIMELINE & TOOLS

3 months · Figma, Miro

+36%

experience rating on the Product Listing and Product pages

+34%

experience rating on the Home page

13 of 13

preferred the redesign on visual appeal

17 themes

from about 240 codes

Open Figma prototype

eBay 2.0 case study cover: a redesigned eBay page with a seasonal banner and fixed prices, beside notes on a pain point, the +36% rating and ~240 codes becoming 17 themes.

ON THIS PAGE

The problem

Research

Analysis

Design

Solution

Evaluation

Reflection

THE PROBLEM

“I think people have this preconceived notion that if you’re buying something from eBay, it would be a second-hand product.”

Participant 4

eBay isn’t failing because its tech is broken. It’s failing because people don’t know what eBay is anymore. People who had visited bounced, citing a site that felt “like using old Google”, confusing price ranges and category menus that went several layers deep.

I set my own brief: redesign the Home, Product Listing and Product pages, which carry most of a first-time user’s journey.

CONSTRAINTS

3 months, working solo

No access to eBay’s analytics or real user data

A long-established site whose patterns regular users already know

Qualitative research only: 9 interviews, then 13 evaluators

WHAT THE RESEARCH SAID

I interviewed 9 eBay users aged 23 to 40 across the UK, US and India, from occasional shoppers and regular buyers to one seller, 30 to 40 minutes each.

#

Pain point

Why it mattered

1

Homepage felt generic: no products, no personalisation

Compared unfavourably to Amazon’s product-first homepage

2

Price ranges instead of fixed prices

“We need a specific price to be there.”

3

Outdated, cluttered visual design

The most common complaint; one participant said it “looks more like a college website”

4

Too many irrelevant search results, weak filters

Filtering and refinement felt limited next to Amazon

5

eBay seen as second-hand only

Stopped users considering it for new items

THE INSIGHT THAT REFRAMED THE PROJECT

The visual problems were a symptom. Amazon’s homepage shows you things to buy. eBay’s left people unsure what the site even offered. I treated the redesign as a positioning problem first and a UI problem second.

FROM QUOTES TO DECISIONS

I ran a 6-step thematic analysis: familiarisation, open coding, initial themes, review, naming, and implications for the redesign. About 240 codes across 9 transcripts grouped into 17 themes.

THEMATIC ANALYSIS

9 interviews, 6 steps

9

Raw data

interview transcripts, P1 to P9

CODING

~240

Codes

initial codes, line by line

ITERATIVE COMPARISON

17

Themes

17 themes from about 240 codes

THE 6 STEPS

1

Familiarise

2

Open coding

3

Initial themes

4

Review & refine

5

Define & name

6

Implications

EXAMPLE CODES AND THE THEMES THEY JOINED

“Price range vs. exact price”

Issues and frustrations

“Limited product visibility on the homepage”

Homepage and user interface

“Importance of review section accessibility”

Navigation and user experience

“Trust issues with eBay’s authenticity”

Trust and authenticity

From 9 transcripts to the themes that drove the redesign

Findings outside my scope

Why

Bidding system uniqueness

Real, but bidding wasn’t on a page I was redesigning

Cash on delivery preferences

A payment option, recorded as a recommendation

Buyer–seller messaging

Not part of the three pages; recorded as a recommendation

Each change in the final design maps to a theme from the analysis.

KEY DECISIONS

Home pageProduct Listing pageProduct page
Home page

Low-fidelity sketches of the Home, Product Listing and Product pages

Killing the price range: participants found price ranges confusing, so I showed one exact price on every card and product page. Clarity beat completeness.

A seasonal homepage: a fall palette and a #FALLintoSavings campaign signal “this site is alive”. All 13 evaluators rated the new visuals as more appealing.

WHAT I DESIGNED AND WHY

I redesigned the three pages that carry a first-time shopper from “what is this site?” to “I’ll buy this”. Each page had its own job, so each change below traces back to what participants told me.

PAGE 1 OF 3

Home page: answering “what is this site?” in 5 seconds

Home page: seasonal campaign, Today’s Deals and a visible category grid

A clean, inviting layout in warm fall colours, with a seasonal #FALLintoSavings campaign to show the site is alive. Personalised recommendations sit in Today’s Deals, and sections like Trending Deals, Fashion & Beauty and Home & Garden invite exploration. A reorganised navigation bar puts categories like Garden & DIY, Electronics and Fashion one click away, and countdown banners such as “Up to 50% off” add a reason to act now.

Change

Driven by

Result in testing

Personalised Today’s Deals above the fold

P4, P5: deals should be on the front page

10/13 very satisfied with content relevance

Visible category grid (Fashion, Electronics, Home & Garden, DIY)

P1: “Category should be made very evident”

8/13 rated layout Very Good, 2/13 Exceptional

Seasonal hero banner with an active campaign

P2: “still the same like it was 3 years ago”

13/13 found the visuals more appealing

“Up to 50% off” countdown banners

P2: “eBay has no offers”

13/13 rated deals visibility Very Good or Exceptional

PAGE 2 OF 3

Product Listing page: making 100 products feel like 10

Product Listing page: grouped filters, quick sort options, fixed prices and ratings on every card

Filters are grouped into clear categories like Brand, Colour and Price, so shoppers narrow down fast. Sorting by New, Best Selling or discounts like 40% off, with dropdowns for more, personalises discovery. Every card shows a clear image, a single price and a rating, so people can judge a product at a glance without leaving the listing.

Change

Driven by

Result in testing

Filters grouped into clear categories like Brand, Colour and Price

P1: “Like good filter options”

13/13 found sorting and filtering easy to use

Quick sort options: New, Best Selling and discounts

P4: “It should be easy to search”

13/13 rated filter clarity Very Good or Exceptional

Fixed prices, an items-sold counter and ratings on every card

Price ranges confused participants; P8 liked seeing the number of items sold

9/13 very satisfied with how product details are shown

Cleaner cards: one image, less metadata

P6: “pages should not be congested”

Whole-page rating rose from 6.69 to 9.08 (+36%)

PAGE 3 OF 3

Product page: closing the trust gap

Product page: large gallery, one clear price, reviews above the fold and a seller card

A large product image sits beside the key details, like brand, size and scent, with multiple views to build confidence. One clear price leads the page with Add to Basket and Buy it Now right beside it. Condition, size and other details follow in an easy-to-scan list, and shipping costs, loyalty points, ratings and reviews are all visible, so shoppers can trust what they are buying and who from.

Change

Driven by

Result in testing

Larger product imagery and a gallery view

P4 wanted “very good pictures to view”

12/13 found the media presentation effective

One fixed price, with a strikethrough discount

Frustration with price ranges

12/13 spotted price and tax information easily

Reviews and ratings moved above the fold

P3: reviews are “at the bottom. Nobody wants to scroll till that”

13/13 found reviews; 9/13 rated the layout Excellent

Seller card with rating, response time and location

P2 expects an authentic seller

13/13 found seller information easily

Prominent Add to Basket and Watchlist buttons

P7 and P8 wanted a direct checkout

13/13 found the buttons; 9/13 rated their placement Excellent

SIDE BY SIDE, WITH 13 EVALUATORS

I recruited 13 evaluators. Each used both the current eBay and my prototype, then answered a questionnaire with ratings and open feedback.

Page (avg rating, 1–10)

Current eBay

Redesign

Change

Home page

6.62

8.85

+34%

Product Listing page

6.69

9.08

+36%

Product page

6.62

9.00

+36%

CATEGORICAL PREFERENCES (N=13)

Visual appeal: 100% preferred the redesign (69% much better)

User-friendliness: 100% preferred the redesign

Access to product information: 92% preferred it; 8% said about the same

A step in the right direction: 85% agreed, 15% neutral, none disagreed

LIMITS I CALLED OUT

13 evaluators is suggestive, not conclusive.

A controlled test isn’t a real shopper under time pressure.

New designs can get a novelty bump in ratings. I’d validate with an A/B test before claiming business impact.

WHAT I’D CHANGE, AND WHAT I’D DEFEND

The decision I’d defend hardest: keeping bidding, payments and seller messaging out of scope. They were real findings, but not actionable on the three pages I redesigned. A good project ships fewer good decisions, not more okay ones.

The unsolved problem: I never tested with heavy eBay users. A 36% gain for new users might cost friction for people used to the old patterns.

What I’d build next: a search results redesign, since search and filtering came up again and again.

I’d also recruit at least 3 participants aged 50 and over. Everyone I interviewed was 23 to 40, so I couldn’t speak to accessibility, font sizes or trust that comes with age.

Working solo forced me to be honest about my own assumptions, because there was no one else in the room to catch them.

LET’S TALK.

I’m looking for product and UX design roles in Mumbai, remote, or where relocation makes sense. I reply within a day.

© 2026 Hiral Mamaniya

Designed and built in Framer

All work

CASE STUDY · MSc DISSERTATION · E-COMMERCE

EBAY 2.0

Why do people who shop online every week still choose Amazon over eBay, and what would make them trust it?

PROBLEM

Most of the 9 eBay users I interviewed shopped on Amazon or Flipkart out of habit and trust. Many thought eBay only sold used goods, and the site did nothing to correct that.

MY ROLE

Solo: research, analysis, design and evaluation, end to end.

METHODS

9 interviews, thematic analysis, sketching, Figma prototypes, side-by-side testing with 13 evaluators.

TIMELINE & TOOLS

3 months · Figma, Miro

+36%

experience rating on the Product Listing and Product pages

+34%

experience rating on the Home page

13 of 13

preferred the redesign on visual appeal

17 themes

from about 240 codes

Open Figma prototype

eBay 2.0 case study cover: a redesigned eBay page with a seasonal banner and fixed prices, beside notes on a pain point, the +36% rating and ~240 codes becoming 17 themes.
eBay 2.0 case study cover: a redesigned eBay page with a seasonal banner and fixed prices, beside notes on a pain point, the +36% rating and ~240 codes becoming 17 themes.

The problem

Research

Analysis

Design

Solution

Evaluation

Reflection

THE PROBLEM

“I think people have this preconceived notion that if you’re buying something from eBay, it would be a second-hand product.”

Participant 4

eBay isn’t failing because its tech is broken. It’s failing because people don’t know what eBay is anymore. People who had visited bounced, citing a site that felt “like using old Google”, confusing price ranges and category menus that went several layers deep.

I set my own brief: redesign the Home, Product Listing and Product pages, which carry most of a first-time user’s journey.

CONSTRAINTS

3 months, working solo

No access to eBay’s analytics or real user data

A long-established site whose patterns regular users already know

Qualitative research only: 9 interviews, then 13 evaluators

WHAT THE RESEARCH SAID

I interviewed 9 eBay users aged 23 to 40 across the UK, US and India, from occasional shoppers and regular buyers to one seller, 30 to 40 minutes each.

#

Pain point

Why it mattered

1

Homepage felt generic: no products, no personalisation

Compared unfavourably to Amazon’s product-first homepage

2

Price ranges instead of fixed prices

“We need a specific price to be there.”

3

Outdated, cluttered visual design

The most common complaint; one participant said it “looks more like a college website”

4

Too many irrelevant search results, weak filters

Filtering and refinement felt limited next to Amazon

5

eBay seen as second-hand only

Stopped users considering it for new items

THE INSIGHT THAT REFRAMED THE PROJECT

The visual problems were a symptom. Amazon’s homepage shows you things to buy. eBay’s left people unsure what the site even offered. I treated the redesign as a positioning problem first and a UI problem second.

FROM QUOTES TO DECISIONS

I ran a 6-step thematic analysis: familiarisation, open coding, initial themes, review, naming, and implications for the redesign. About 240 codes across 9 transcripts grouped into 17 themes.

THEMATIC ANALYSIS

9 interviews, 6 steps

9

Raw data

interview transcripts, P1 to P9

CODING

~240

Codes

initial codes, line by line

ITERATIVE COMPARISON

17

Themes

17 themes from about 240 codes

THE 6 STEPS

1

Familiarise

2

Open coding

3

Initial themes

4

Review & refine

5

Define & name

6

Implications

EXAMPLE CODES AND THE THEMES THEY JOINED

“Price range vs. exact price”

Issues and frustrations

“Limited product visibility on the homepage”

Homepage and user interface

“Importance of review section accessibility”

Navigation and user experience

“Trust issues with eBay’s authenticity”

Trust and authenticity

From 9 transcripts to the themes that drove the redesign

Findings outside my scope

Why

Bidding system uniqueness

Real, but bidding wasn’t on a page I was redesigning

Cash on delivery preferences

A payment option, recorded as a recommendation

Buyer–seller messaging

Not part of the three pages; recorded as a recommendation

Each change in the final design maps to a theme from the analysis.

KEY DECISIONS

Home pageProduct Listing pageProduct page
Home page

Low-fidelity sketches of the Home, Product Listing and Product pages

Killing the price range: participants found price ranges confusing, so I showed one exact price on every card and product page. Clarity beat completeness.

A seasonal homepage: a fall palette and a #FALLintoSavings campaign signal “this site is alive”. All 13 evaluators rated the new visuals as more appealing.

WHAT I DESIGNED AND WHY

I redesigned the three pages that carry a first-time shopper from “what is this site?” to “I’ll buy this”. Each page had its own job, so each change below traces back to what participants told me.

PAGE 1 OF 3

Home page: answering “what is this site?” in 5 seconds

Home page: seasonal campaign, Today’s Deals and a visible category grid

A clean, inviting layout in warm fall colours, with a seasonal #FALLintoSavings campaign to show the site is alive. Personalised recommendations sit in Today’s Deals, and sections like Trending Deals, Fashion & Beauty and Home & Garden invite exploration. A reorganised navigation bar puts categories like Garden & DIY, Electronics and Fashion one click away, and countdown banners such as “Up to 50% off” add a reason to act now.

HOME PAGE CHANGES

Personalised Today’s Deals above the fold

DRIVEN BY

P4, P5: deals should be on the front page

RESULT IN TESTING

10/13 very satisfied with content relevance

Visible category grid (Fashion, Electronics, Home & Garden, DIY)

DRIVEN BY

P1: “Category should be made very evident”

RESULT IN TESTING

8/13 rated layout Very Good, 2/13 Exceptional

Seasonal hero banner with an active campaign

DRIVEN BY

P2: “still the same like it was 3 years ago”

RESULT IN TESTING

13/13 found the visuals more appealing

“Up to 50% off” countdown banners

DRIVEN BY

P2: “eBay has no offers”

RESULT IN TESTING

13/13 rated deals visibility Very Good or Exceptional

PAGE 2 OF 3

Product Listing page: making 100 products feel like 10

Product Listing page: grouped filters, quick sort options, fixed prices and ratings on every card

Filters are grouped into clear categories like Brand, Colour and Price, so shoppers narrow down fast. Sorting by New, Best Selling or discounts like 40% off, with dropdowns for more, personalises discovery. Every card shows a clear image, a single price and a rating, so people can judge a product at a glance without leaving the listing.

PRODUCT LISTING PAGE CHANGES

Filters grouped into clear categories like Brand, Colour and Price

DRIVEN BY

P1: “Like good filter options”

RESULT IN TESTING

13/13 found sorting and filtering easy to use

Quick sort options: New, Best Selling and discounts

DRIVEN BY

P4: “It should be easy to search”

RESULT IN TESTING

13/13 rated filter clarity Very Good or Exceptional

Fixed prices, an items-sold counter and ratings on every card

DRIVEN BY

Price ranges confused participants; P8 liked seeing the number of items sold

RESULT IN TESTING

9/13 very satisfied with how product details are shown

Cleaner cards: one image, less metadata

DRIVEN BY

P6: “pages should not be congested”

RESULT IN TESTING

Whole-page rating rose from 6.69 to 9.08 (+36%)

PAGE 3 OF 3

Product page: closing the trust gap

Product page: large gallery, one clear price, reviews above the fold and a seller card

A large product image sits beside the key details, like brand, size and scent, with multiple views to build confidence. One clear price leads the page with Add to Basket and Buy it Now right beside it. Condition, size and other details follow in an easy-to-scan list, and shipping costs, loyalty points, ratings and reviews are all visible, so shoppers can trust what they are buying and who from.

PRODUCT PAGE CHANGES

Larger product imagery and a gallery view

DRIVEN BY

P4 wanted “very good pictures to view”

RESULT IN TESTING

12/13 found the media presentation effective

One fixed price, with a strikethrough discount

DRIVEN BY

Frustration with price ranges

RESULT IN TESTING

12/13 spotted price and tax information easily

Reviews and ratings moved above the fold

DRIVEN BY

P3: reviews are “at the bottom. Nobody wants to scroll till that”

RESULT IN TESTING

13/13 found reviews; 9/13 rated the layout Excellent

Seller card with rating, response time and location

DRIVEN BY

P2 expects an authentic seller

RESULT IN TESTING

13/13 found seller information easily

Prominent Add to Basket and Watchlist buttons

DRIVEN BY

P7 and P8 wanted a direct checkout

RESULT IN TESTING

13/13 found the buttons; 9/13 rated their placement Excellent

SIDE BY SIDE, WITH 13 EVALUATORS

I recruited 13 evaluators. Each used both the current eBay and my prototype, then answered a questionnaire with ratings and open feedback.

Home page

CURRENT EBAY

6.62

REDESIGN

8.85

CHANGE

+34%

Product Listing page

CURRENT EBAY

6.69

REDESIGN

9.08

CHANGE

+36%

Product page

CURRENT EBAY

6.62

REDESIGN

9.00

CHANGE

+36%

CATEGORICAL PREFERENCES (N=13)

Visual appeal: 100% preferred the redesign (69% much better)

User-friendliness: 100% preferred the redesign

Access to product information: 92% preferred it; 8% said about the same

A step in the right direction: 85% agreed, 15% neutral, none disagreed

LIMITS I CALLED OUT

13 evaluators is suggestive, not conclusive.

A controlled test isn’t a real shopper under time pressure.

New designs can get a novelty bump in ratings. I’d validate with an A/B test before claiming business impact.

WHAT I’D CHANGE, AND WHAT I’D DEFEND

The decision I’d defend hardest: keeping bidding, payments and seller messaging out of scope. They were real findings, but not actionable on the three pages I redesigned. A good project ships fewer good decisions, not more okay ones.

The unsolved problem: I never tested with heavy eBay users. A 36% gain for new users might cost friction for people used to the old patterns.

What I’d build next: a search results redesign, since search and filtering came up again and again.

I’d also recruit at least 3 participants aged 50 and over. Everyone I interviewed was 23 to 40, so I couldn’t speak to accessibility, font sizes or trust that comes with age.

Working solo forced me to be honest about my own assumptions, because there was no one else in the room to catch them.

LET’S TALK.

I’m looking for product and UX design roles in Mumbai, remote, or where relocation makes sense. I reply within a day.

© 2026 Hiral Mamaniya

Designed and built in Framer

Create a free website with Framer, the website builder loved by startups, designers and agencies.