Sky Betting & Gaming

Build an experience that makes it easier for users to find a game they will love.

Role Product Designer
Platforms iOS · Android · Web
Responsibilities Product Design · User Research · Visual Design · Prototyping
Focus areas
iGaming Discovery UX Information Architecture Smart Filtering
640% Increase in "Game Launches" from the redesigned All Games page
45% Reduction in time-to-first-play after filtering and sort improvements
87% CSAT score when users interacted with the updated page

Solving choice paralysis in a catalogue with hundreds of games

The "All Games" page was a high-traffic but low-conversion hub. With hundreds of titles, users felt overwhelmed by choice paralysis, and performance issues on mobile were driving bounce rates up.

I led a complete redesign of the game discovery architecture, implementing a high-performance smart-grid system, intuitive filtering, and a data-driven search experience. The result was a 640% increase in Game Launches and a 45% reduction in time-to-first-play.

Sky Betting All Games — overview

A new API created a window of opportunity

The business had been working on a new tech stack to update parts of the site, including a new API data infrastructure tied to the games catalogue. This infrastructure attached rich data points to each game, creating a significant opportunity to build better findability and discovery features across the whole site.

The opportunity

A new API data layer unlocked the ability to filter, sort, and surface games in ways that were never possible before, but only if the UI could make that power accessible to users.

Sky Betting All Games — context

A mixed-methods approach to understand what users actually need

To gain a better understanding of what data points are useful for users, I worked alongside user researchers to conduct a series of research methodologies that informed our approach to the "All Games" page and the introduction of filtering.

Information Architecture Analysis

Mapped the current page structure to identify where users were getting lost across category hierarchies.

Card Sorting

Built a mental model of how users naturally group and think about game categories versus how the existing IA mapped them.

Filters Usefulness Matrix

Validated which filter attributes (theme, volatility, min stake, provider) were most useful and understood by real users.

Key insights from research

Industry jargon ("party pots", "jackpot king") had very low user understanding. Duplication across categories caused confusion. Users needed richer context, not just a label, to make confident choices.

Wireframes to stakeholder buy-in, before a single high-fidelity pixel

Designing with a user-centric mindset, I created wireframes to experiment with information architecture, category refinement and filter implementation. This helped steer early conversations with stakeholders and get buy-in at an early stage before high-fidelity design.

01

Navigation between major game categories

Reduced to 4–5 tabs to eliminate duplication, with "Live" as a business-priority sub-nav item. Cleaner navigation reduced cognitive load significantly.

02

Filter placement

A sticky nav approach was chosen for its ease of access when scrolling the games list, tested across multiple variations to validate the right pattern.

03

Bottom sheet filter menu

After critique sessions and revisions, a bottom sheet pattern emerged as the most adequate approach: it doesn't interrupt the journey and handles the volume of content elegantly.

04

Filter tags on results page

Minimal friction between choosing and dismissing filters; active filter tags visible on the results page allowed users to snap filters on and off with a single tap.

01 Wireframe exploration 1
02 Wireframe exploration 2
03 Wireframe exploration 3
04 Wireframe exploration 4

Three core features validated through usability testing

Category understanding

Testing usability and understanding of categories that might be misunderstood. Created a bespoke set of icons that illustrated more detail to reduce ambiguity, increasing success rate on re-test.

Sorting games

Tested usability and understanding of sorting options. Found that users had clear mental models around "most popular" and "new", validating the approach before implementing.

Filter placement & design

The pill filter execution outperformed alternatives, standing out more against the colourful game artwork. Users found game groups easily once they discovered the filter menu.

Slider testing insight

Games go up in an incremental staking pattern (5p, 10p, 20p, 40p). Rather than a linear slider, I implemented a stepped pattern matching this reality. The heavy majority of users preferred this; it felt more familiar and convenient for filtering staking amounts.

Example of details being tested Example of details being tested — slider

Shipped in phases, with engineers involved throughout

Throughout the process, engineers were involved to provide feedback on the constraints and viability of certain ideas. By the end of the project there was clarity on functionality and implementation. I provided regular design reviews on their stand-ups to foster relationships and quality outputs.

640% more Game Launches

The biggest single metric: the redesigned architecture dramatically increased the number of users who discovered and launched a game from the All Games page.

45% reduction in time-to-first-play

Smart filtering and clearer categories meant users found the right game significantly faster, directly improving key business and satisfaction metrics.

87% CSAT score

A near-perfect customer satisfaction score when users interacted with the updated page, validating that the experience genuinely served user needs.

iOS Handover — iOS
Desktop Handover — Desktop
mweb Handover — mweb
Next project

Creating scalable cohesion between brand and product in the growth department