Search optimisation

Fixing a flawed search experience

Search is a key tool across our platforms for content discovery and retrieval. When search fails, customers disengage at the exact moment they're actively looking for something — eroding trust, retention and brand value.

Voice of the customer

The problems

"Just cancelled my subscription. Was fed up with the search mechanism never responding... I'm looking for muffin recipes and the 4th item is Yorkshire Puddings followed by Mushroom Burgers!"

01

Search fails to support users' missions

Across our platforms on web, failure rates reach as high as 61% — with app performance stronger but no brand reaching consistent success. 40% of users abandon search altogether after querying.

02

Engagement is critically low

Only 15% of users on Good Food web engage with search, and less on Radio Times.

03

AI is forming new habits

70–77% of users surveyed are already using AI tools to solve for the same missions our platforms serve. At the same time, SEO-driven traffic is declining as AI summaries intercept users before they reach us.

Research

Objectives

01

Understand the missions users are on across our platforms and the relative importance of each

02

Establish how users are solving for their mission and where search fits into that journey

03

Identify where and why search breaks down

04

Define what users expect from search, including AI capabilities

Insights

A shift in customer understanding

The assumption was that users arrived knowing what they were looking for — ready to type a query and retrieve a result. The data told a different story.

Mission type

GF

RT

Discovery (low-intent)

~70%

~74%

Retrieval (High-intent)

~30%

~26%

Analytic findings concluded the same: broad queries: 75-88%​ and narrow queries: 12-25%

A customers' journey to discovering content

Survey insights show users don't arrive ready to search.

Discovery missions start with browsing collections and categories — mechanism that best support low-intent constraints — and narrow down as their intent builds.

Keyword search only enters the picture once intent has crystallised enough to form a query. For the majority of users, that point is never reached.

Where search fails

The same problems emerge across app and web platform and brands.

Issue

GF

RT

Too many results to sort through

6.4 / 10

6.4 / 10

Difficulty deciding between options

5.6 / 10

5.7 / 10

No results matching intent

5.6 / 10

5.7 / 10

Search doesn't understand intent

4.7 / 10

5.4 / 10

Confidence in result ranking

4.9 / 10

5.1 / 10

Search Product Strategy

Insight synthesis informing key initiatives

The research then surfaced four clear areas that directly shaped the product strategy:

01

Relevancy

Improve result relevancy through better intent understanding and error mitigation

03

Evaluating options

Surface the signals users need to evaluate results and decide with confidence

02

Low-intent mission support

Extend search's utility to support users who arrive without a formed query

04

AI supported discovery

Bring AI-powered discovery natively into the platform, meeting users where their habits already are

01

Relevancy

Improve result relevancy through better intent understanding and error mitigation

02

Low-intent mission support

Extend search's utility to support users who arrive without a formed query

03

Evaluating options

Surface the signals users need to evaluate results and decide with confidence

04

AI supported discovery

Bring AI-powered discovery natively into the platform, meeting users where their habits already are

Impact

Product Strategy

I worked with the PM to translate findings into a prioritised roadmap built around 4 strategic areas.

Our analytics data showed poor engagement with the search feature overall, so increasing engagement became became a prerequisite for the other key initiatives.