Clearing context

Clearing is a high-pressure period in the UK higher education journey, where prospective students must quickly find and secure university places. During this time, users navigate fragmented information under tight time constraints, often leading to confusion and rushed decisions. I’ve worked with a range of higher education institutions, including LSBU, University of Hertfordshire, LSE, Ulster University, Stanford University and Queen’s University Belfast.

My role

I contributed to the design of the Clearing hub, focusing on structuring complex content and guiding users through key decision points. This involved shaping aspects of the information architecture, collaborating with stakeholders through workshops, and iterating on the experience based on post-launch user behaviour.


Navigating Clearing under pressure

Clearing is a time-sensitive and high-pressure process, where prospective students must quickly understand their options and take action.

A Higher Education institution partnered with the Squiz team to deliver a digital solution to support the Clearing application journey, with a clear brief to improve usability within existing technical and budget constraints. The existing experience lacked clarity at key moments, with information spread across multiple pages and structured around internal priorities rather than user needs. As a result, users struggled to understand what Clearing involved, where to start, and what steps to take next. This created confusion and hesitation at critical decision points, increasing the risk of users dropping off or making rushed, uninformed choices.

The challenge was to bring structure and coherence to the experience, helping users navigate the process confidently and take action with certainty, while working within feasibility and budget constraints and responding to a clear direction to “think differently.

Identifying User Pain Points

To understand the Clearing experience, I synthesised existing discovery insights alongside industry research, competitor analysis, and user interviews to identify where users struggled to make decisions under pressure.

Market Analysis

Highlighted the scale and urgency of Clearing, and how fragmented information impacts decision-making.

Competitive Analysis

Revealed inconsistent approaches across universities, with limited guidance for users navigating complex choices.

User Interviews

User interviews with current students and alumni who had gone through the clearing process exposed confusion during onboarding, with users skipping key steps due to a lack of understanding.

Defining the Problem

The experience was not effectively communicating its value during a critical decision period. With users already approaching Clearing with hesitation, this lack of guidance led to low engagement with key content and increased reliance on support channels. As a result, users struggled to reach key decision points, highlighting the need for clearer structure and more deliberate guidance throughout the journey. This highlighted the need to guide users more clearly through the experience and reinforce the value of each step.

These insights were reinforced by both quantitative data and user feedback:

In 2022, UCAS Clearing facilitated the placement of 33,280 students into universities, marking an impressive 30% increase compared to the previous year.

An overwhelming 76% of the interviewed students expressed frustration over the insufficient information provided when going through Clearing.

77% of students expressed that the absence of personalisation during the Clearing process made them feel isolated and gave the impression that universities didn’t prioritise their best interests

User voice

Together, these findings highlighted a consistent pattern: users needed clearer guidance, stronger reassurance, and a more structured path through the process.

Creating User-Centred Solutions

To address the challenges identified, we focused on creating a more structured and guided experience that helped users navigate Clearing with confidence.

Early workshops and collaborative sessions helped align the team around a clear direction: consolidating fragmented content into a dedicated Clearing hub. This approach aimed to reduce the need for users to navigate multiple sections of the website and instead provide a single, coherent entry point into the process.

We translated these insights into user journeys and prioritised key moments where users needed the most guidance, ensuring content and interactions were designed to support decision-making under pressure.

Initial wireframes explored how information could be structured more clearly, introducing a more consistent layout and prioritising key actions at each stage. Close collaboration with the development team ensured these solutions were feasible and aligned with existing technical constraints.

As the designs evolved, additional opportunities emerged to further support users, particularly through clearer pathways to course discovery and more guided interactions within the journey. These decisions informed the structure of the Clearing hub, shaping both the overall layout and key interaction patterns:

Key areas of impact

Understanding Clearing

The homepage was designed as a single, central entry point for Clearing, addressing the initial lack of guidance. By reducing the need to navigate multiple pages, it improved early engagement and helped users quickly understand where to start.

Clearing course finder

A dedicated course finder streamlined discovery by focusing only on available Clearing options. This removed irrelevant choices, reduced confusion, and enabled quicker, more confident decisions.

Keeping users in the journey

Integrating “About the university” content into the hub removed the need to leave the journey, helping users stay focused and maintain momentum throughout the decision-making process.

These improvements laid the foundation for further iteration and scaling, driven by real user behaviour post-launch.

Scaling the experience in Phase 2

Phase 2 focused on scaling the experience through reusable components. A standardised course page template enabled efficient rollout across priority courses, reducing manual effort and giving the client team greater autonomy over content creation.

Metrics and Behavioural Impact

The 2025 Clearing campaign provided a clear opportunity to measure the impact of both the new hub and the scalable content approach. Analytics data showed notable improvements in how prospective students engaged with the experience. Key metrics from the peak Clearing period, during the week of results day:

30% increase in Clearing-related page views week-over-week

32% increase in interactions (compared to 2024), including +29% scrolls and +42% clicks

12% increase in organic traffic

These results indicate stronger engagement and clearer progression through key journeys, with users more effectively finding information and taking action.

Another key improvement was the introduction of flexible components that supported richer media content, particularly video, helping explain the behavioural shifts observed.

Drivers for improvement

Richer content formats

Introducing video content (YouTube Shorts) made key information easier to process, particularly during high-pressure moments such as results day.

Social proof

Student testimonials added social proof, reducing uncertainty and supporting more confident decision-making.

Mobile-first experience

A more visual-first approach improved engagement on mobile, which accounted for a significant share of Clearing traffic.

Behavioural data indicated that these changes would contribute to higher engagement across key sections and more confident progression through the Clearing journey.

While formal user testing during the Clearing period was limited, feedback from both current and prospective students highlighted improvements in clarity and ease of navigation. This included:

Improved information processing

Information was easier to process in a more visual format, particularly through video and structured content blocks, reducing cognitive load.

More informed decision-making

Students felt more prepared ahead of results day, having already explored courses and next steps.

Behavioural data and heatmaps showed stronger interaction with primary calls-to-action and more consistent engagement across key content areas. Compared to the previous experience, users progressed more decisively towards searching for courses, applying, or signing up, indicating a shift towards faster, more confident self-service journeys.

Reflection

This project reinforced how critical structure and guidance are when users are navigating high-pressure, time-sensitive decisions. While the initial solution focused on simplifying access to information, the real impact became clearer post-launch, as user behaviour highlighted where further support and refinement were needed.

Working within technical and time constraints required prioritising clarity and usability over complexity, ensuring the experience remained focused and actionable. Rather than relying heavily on upfront validation, this project emphasised the value of iterating based on real user behaviour, using analytics and feedback to continuously improve the experience.

The transition into Phase 2 further shaped my thinking, highlighting the importance of designing not just for a single journey, but for scalability. Moving towards reusable components and structured templates enabled the experience to extend beyond the hub, supporting long-term efficiency and consistency across the platform.

This experience strengthened my approach to designing for both immediate user needs and future growth, balancing user understanding, technical feasibility, and scalable design systems.