Moneysupermarket

Online forms the right way

User research

UX patterns

Validation / iteration

Moneysupermarket online forms
Moneysupermarket online forms
Moneysupermarket online forms

The problem

Poor question set conversion rate

within comparison journeys

Usability issues

for certain user types

The solution

Identify customer expectations

across different products

Question set patterns

tailored to each comparison journey

What did the data say?

We discovered that different comparison journeys had very different conversion rates, even when their complexity was similar. Ongoing optimisation and usability testing also showed that different user types responded to these journeys in very different ways.

Connecting these insights, we launched a new initiative focused on improving question-set conversion rates across all comparison journeys.

The first step was a research audit, reviewing existing research data and screen recordings. While the process was manual and time-consuming, it gave us clear direction on where to focus our efforts.

We were falling short in three key areas, making it clear we needed to go back to the drawing board to better serve our diverse users.

Inclusivity

Stop focusing only on the majority. Consider the diverse range of customers using our services.

Product diversity

The ‘one size fits all‘ approach for our different question sets is far from optimal.

User expectations

Customers have different expectations in each stage of the journey.

Dan Kemeny portrait
Dan Kemeny portrait

To tackle these challenges, I began experimenting with different question-set patterns, each built around a core UX principle. I explored different ways to present questions to users with different needs and confidence levels.

To tackle these challenges, I began experimenting with different question-set patterns, each built around a core UX principle. I explored different ways to present questions to users with different needs and confidence levels.

Question set patterns

To validate our assumptions and gather early feedback, we built prototypes that simulated question sets across different comparison journeys.

Usability testing showed that it wasn’t just about choosing the right pattern for each product. Each journey also needed to be segmented with the right mix of patterns applied at the right moments to truly work for users.

Question set spaces

Based on user feedback, we introduced distinct journey spaces within the question sets. Each space had its own characteristics and drew on different core principles from the question-set patterns. The balance of these spaces varied by journey, depending on the product and specific customer expectations.

Learn, test, iterate - repeat

We A/B tested these patterns across money products such as mortgages, credit cards, and loans. The gains were gradual but consistently positive. It took multiple rounds of testing to find the right mix of patterns, but the result was steady growth in question-set conversion and fewer drop-offs.

While progress took longer than expected, the focus was on building a robust optimisation strategy, not chasing quick wins. In the long run, that approach delivered lasting results.

Project summary

up to

+0%

Conversion rate

up to

-0%

Drop-off rate

Introducing journey spaces and a more flexible use of question-set patterns led to conversion uplifts across insurance products, including car, home, travel, and life.

Customers were more engaged and focused on the fields that mattered most. Beyond short-term KPIs, these changes also improved long-term metrics such as customer loyalty and NPS.

© 2025 All right reserved

© 2025 All right reserved

© 2025 All right reserved