UX Research · Eye-Tracking · Redesign

What Eye-Tracking Revealed About the
Hooked on Phonics Shop Page

A deep dive into how real users browse, scan, and struggle: uncovering research-backed
opportunities to modernize an e-commerce experience

Team

Maanya · Krishna · Joanne

My Role

UX Research, UX Design

Tools

Figma · Tobii Eye-Tracking · VWO

Timeline

October – December 2025

01

Project OVerview

The Brief

Hooked on phonics is an e-commerce brand selling educational products such as literacy, math, and spelling kits for school-aged children, Their Shop page is a primary landing page for traffic from email marketing, paid ads, and organic search.

The page hasn't seen a major update in years. Our team was tasked with researching product understanding on the Shop page across both desktop and mobile platforms, focusing on new and prospective customers

02

Defining the problem

So.. Where Do We Start?


The Shop page houses a mixed range of products - math, spelling, reading packs, subscriptions, workbooks, and learning kits- all in one place, without clear categorization or visual hierarchy to help users navigate.

A quick audit surfaced initial hypotheses that we were interested to investigate:

• Key product information hidden within dense product details

• Features like the hamburger menu & preview button potentially missed

• Category options insufficient for efficient browsing

How Might We

"How might we optimize product understanding to improve the browsing and shopping experience on the Hooked on Phonics Shop page?"

Research Questions

Exploring & Browsing

What are users’ first impressions of the shop page? How do they explore and understand the range of products?

Categorization & Navigation

How do users find a specific product based on different categories  ( age, product type) ?

Product Distinction & Evaluation

How do users compare between two products, learn about the product,  and choose one to purchase?

03

Research Methods

Conducting Eye-Tracking Studies


Participants were recruited via Pratt's platform Private Panels. Sessions combined Tobii Pro Lab eye-tracking with retrospective think-aloud sessions to understand how users interact with and perceive the Shop Page. Our main goal was to uncover research-backed opportunities for improving the shopping experience on the site.

After sessions, we documented quotes and observations in a Rainbow Sheet, then used affinity mapping to synthesize findings before translating them into actionable insights.

Findings were cross-referenced with VWO data analytics. We looked at scroll maps, heatmaps, and click data to validate observations and strengthen recommendations

👁️

Tobii Eye-Tracking

We captured gaze data as participants walked through tasks on the website, revealing where attention landed, and what was missed

💬

Retrospective Think-Aloud

Post-session interviews added qualitative depth by providing context into the why's behind users' interactions.

📊

VWO Analytics

Cross-referenced scroll maps, heat maps, and click data to validate findings through a mixed-methods approach

04

Key Findings & Recommendations

So.. What Did Our Research Reveal?

Finding 01

Product titles were too long and lacked visual distinction:

Product cards combined product type, name, and age range into one undifferentiated title. With no clear hierarchy, participants relied almost entirely on product images to identify and compare items.

"The product names were too similar... I was seeing 'Learn to Read' everywhere and it was hard to see the age."

— Participant 1

OUR Recommendation

Introduce better visual hiearchy in the product cards:
Separate the product name from the product type. Rather than combining promotional details with product name, use color to call out special offers. Adding color-coded tags for age range and product type to make key information easier to scan and recognize quickly.

Before

• Type, name & image are one long title
• No visual hiearchy between elements
• Users struggled to scan and compare ⤵

 

After

• Name and product type visually separated
• Color-coded age & type tags
• Special offers are called out with color ⤵

 

Finding 02

Current categorization was insufficient for navigating to a specific product:

Participants looked for filtering options beyond just age ranges. The existing categories didn't reflect how users actually think about products: by subject area, format, or learning goal, making it difficult to efficiently narrow down to what they needed.

"The filters are only for grades. I think they could also have something for spelling, for reading or math. They should separate these."

— Participant 5

Before

After

OUR Recommendation

Create more intuitive information architecture and filtering options, such as filtering by product type, focus area, and grade. Specific filters can be validated and refined through card sorting or tree testing with real users.

Finding 03

Product descriptions were dense and hard to scan:

Online shoppers rarely read dense descriptions and our gaze data confirmed this. Most users skimmed bolded headings rather than reading full paragraphs. Long, unbroken text made it difficult to quickly understand what a product actually offered.

"It's unclear what the product is until I read this, and I genuinely don't have time to read all this, to be very honest."

— Participant 3

Before


• Dense wall-of-text product descriptions
• No information hierarchy or scannability
• Key details buried mid-paragraph ⤵

 

After

Recommendation

Introduce clearer headings and divide content into scannable tabs. Condense key information, improve hierarchy with bold titles and color, and separate sections into clickable tabs to break up the information

• Content divided into clickable tabs
• Bold titles + color to surface key info within the first viewport
• Condensed, scannable structure that makes information more scannable without losing SEO value ⤵

05

Outcome

Outcome

Our team presented findings and recommendations to the team at
Hooked on Phonics, who responded positively, expressing appreciation

The client noted that the data and recommendations closely aligned with their own initial assumptions. We were happy for the opportunity to support their efforts to modernize the website.

Thanks for reading!