All work
Web Ecommerce Course Discovery 2024

Reed Course
Discovery

Redesigning how people find and choose courses on Reed.co.uk. The goal was simple: get people to the right course faster, and give them enough information to commit.

Role
Product Designer
Timeline
Q1–Q2 2024
Platform
Web (Desktop + Mobile)
Focus
Course card, search, filters

Context

A job site that also sells courses

Reed.co.uk is best known as a job board, but the platform hosts thousands of online courses, from CPD certifications to professional development. The courses marketplace is a meaningful revenue stream, but users were landing on search pages and leaving without enrolling.

My brief: find out why users weren't converting, redesign the course card to communicate value faster, and fix the search flow so people could find the right course without friction.

The problem

The card wasn't earning the click

"I can see there are loads of courses but I can't tell which one is right for me without clicking into every single one."

User research participant, 2022

Analytics showed users landing on course search pages, scrolling, then leaving without clicking anything. Session recordings and heat maps told us why, they were looking for information the cards simply didn't show.

Three things were missing:

  • No rating or review count. Users had no way to assess quality at a glance
  • No level indicator. Users feared enrolling in something pitched at the wrong level
  • No duration. Working professionals need to know the time commitment before committing money

Before and after

The course card redesign

The original card had a title, a provider name, and a price. Nothing else. The redesign surfaces trust signals, level, duration and a direct CTA, all within the same footprint.

Before
Original Reed course card

No rating · No level · No social proof · Generic CTA

After
Redesigned Reed course card

Rating + review count · Level tag · Duration · Social proof · Discount + clear price · Add to basket CTA

Design decisions

Every element earned its place

Before designing anything, I ran a content audit across 12 competitor course platforms (Udemy, Coursera, LinkedIn Learning, Skillshare). I identified which pieces of information power-users actually look at before enrolling. That list became the spec for the new card.

Title
Full unformatted title, truncated at 2 lines
Shortened to topic + level. Full title visible on detail page
Rating
Not shown
Star score + review count above the fold
Level
Buried in description text
Colour-coded tag (Beginner / Intermediate / Advanced / CPD)
Duration
Not shown
Hours displayed directly on card
Social proof
Not shown
Student count adds trust and urgency
Pricing
Price shown, no discount context
Discount percentage + original price creates anchoring
CTA
Generic "View course" link
"Add to basket" removes an extra step from the funnel

Discovery flow

The card was only half the problem

Phase two was the discovery flow itself, filters, sorting and the zero-results state. Users were struggling with filters that gave no feedback, a default sort that felt arbitrary, and a blank page when filters returned nothing.

"I added three filters and got zero results. I thought the site was broken."

Usability testing, Round 2
Filter options
No indication of how many results each filter had
Live result count on every filter option, users see impact before committing
Default sort
"Most recent", surfaced low-quality listings, felt arbitrary
"Most popular", matched how users searched mentally, improved first-impression quality
Zero results state
Blank page, users assumed the site was broken
Smart suggestions and filter relaxation prompts, users stayed in the flow
Quick-filter chips
No shortcuts, common queries required 4+ filter steps
Top-level chips for the 5 most-searched filter combinations, one tap to the right results

Results

What moved

+14%
Course card click-through rate after launch
+19%
Enrolment conversion from card view to purchase
-35%
Support tickets about course level confusion, within 8 weeks of launch

Search abandonment dropped 28%, users who previously left without clicking anything were now engaging with results. The support ticket reduction proved the design was solving the right problem: users were enrolling in the correct courses first time rather than requesting refunds after the fact.

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