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Project overview

Discovery

Design

Results

Client Reporting

Example of a client report interface showing investment data

How do we rebuild Aegon's client reporting capabilities, and position it as a market-leading tool for financial advisers, all in 12 months?

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My Role

Senior UX Designer
UX Researcher
Product Owner (for report redesign project)

Team

Product Owner
2 Business Analysts
2 Full Stack Developers
2 Testers

Other stakeholders: Risk, Legal, Compliance, Brand

Timeline

12 Month Programme

MVP → Iterative Enhancements

Impact

Monthly users grew
328 → 1300 (+300%)

Reports generated
7,255+

Backstory

Financial advisers rely on annual reviews to explain investment performance to their clients.

Following a major platform migration, Aegon lost its reporting capability entirely, leaving advisers without a way to visualise performance during these meetings.

This created three risks:

  • Advisers moving to competitor platforms
  • Reduced transparency for advisers' clients, who are also Aegon customers
  • Potential friction with Consumer Duty regulations

The goal of this project was to rebuild reporting capabilities and long-term position Aegon as a market leader in adviser reporting tools.

Project roadmap

Project timeline showing key milestones for the reporting platform redesign

Discovery

Early insights

During phase 1, we launched multiple moderated and unmoderated feature preference studies to understand our users’ expectations.

Our key discovery was there are two types of financial advisers looking to use our tool: explorers and finders.

Explorers

Explorers want raw data and the power to play with it, expecting strong visuals, customisation opportunities, and the ability to see the different stories data can tell. They're more likely to spend longer on the page and make use of the full tool suite.

Finders

Finders are advisers and their accompanying ParaPlanner staff who will benefit from a new reporting tool but want to use it for immediate fact finding and data exports. Even in a positive experience, their goal is getting in and getting out as fast as possible.

Research inputs

As a new product, research was critical for gaining market appetite and prioritising where to start.

  • 6 rounds of user interviews at various design stages
  • 4 unmoderated usability studies
  • 2 comprehension studies on language barriers
  • 2 accessibility-focused usability study
  • 1 card sort for feature prioritisation

What this revealed

We have two distinct user types

Our explorers and finders were equally prominent, but had different needs, behaviours and expectations.

Bespoke patterns were more effective than the design system

Testing showed that generic design system components did not support the depth of analytics and clarity the product needed. We needed a more tailored pattern language so the reporting experience felt credible, navigable, and specific to advisers' work.

More data, more problems

Users wanted everything at their fingertips, but were concerned about how they would then navigate all the data they desired.

Building a backlog

With building a tool from scratch, there's an unlimited number of feature combinations we could have delivered. To determine what was essential to an MVP, and then where I wanted to take the project long term, I needed data.

I created a very low fidelity design showing the majority of features we could possibly deliver. This was then taken to the user panel for surveys and card sorts where users selected what their ideal reporting tool would contain. I then aggregated this data into a visual guide, showing what we had to have, what was nice to have, and what had a low return for effort.

Figma screenshot showing a component example
Figma screenshot showing a component example

“Having something visual makes finances feel more tangible. When planning for the future, it can feel very speculative”

-Key finding through customer interviews

Customer insights

Not only does the tool need to work for our advisers, but it also has to work for customers who wish to self‑serve. Customers' needs were very different from advisers' despite similar goals, and an emphasis on clean, visual-heavy design became apparent as it reduced cognitive load and the intimidation of engaging with financial planning.

Design process

Phase 1 – get an MVP live

Based on our research findings and available technology, I delivered a lean MVP to address the immediate need for basic reporting functionality.

The biggest learning of getting the MVP live was finding a charting library that met our design needs, was technically easy to work with, but most importantly met our strict accessibility guidelines.

After some robust internal testing and more user research, I landed on HighCharts, which could be configured to our design system and offered excellent baked-in accessibility such as sonification (turning data into audio), raw data exports, and screen reader configurations. To ensure it was suitable, I even mocked up a few HTML prototypes utilising it for user and internal testing to make sure it met our needs and performed as expected, no matter the data.

Improved navigation

With the ambitions of our project, I knew the contents of the page would grow and grow, making it a taller, denser experience to navigate. To combat this, and to satisfy our "Finder" user's need of getting straight to the information they're looking for, I implemented a sticky navigation. This fixed menu details all the categories in the tool, taking cues from the contents page of the report to align the online and printed experiences. I tested and refined it across device sizes to keep the reading order logical and the controls accessible for screen magnification and keyboard users.

This relatively simple enhancement reduced the time to reach a key data section from up to 1 minute to approximately 5-10 seconds.

GIF showing the sticky navigation quickly jumping to the relevant section of the report

Exported report

A consequence of the lean MVP was we had to launch with our most basic report design. Immediately via our continuous research and business development partners, we received an influx of feedback that the report output was a letdown compared to the digital experience.

While not a typical UX task, I ran solo designer for this project and served as proxy Product Owner as I was best placed to understand the exact requirements.

As the company was undergoing a major rebrand during this time period, I had to liaise closely with the brand team to ensure I was using the latest approved assets, and work closely with the developers to understand our current PDF software limitations

Based on internal technology feedback, rather than a big bang report redesign, I opted to deliver it incrementally. The biggest challenge was moving from a portrait to vertical layout, so developers completed this first in the old style. They then incrementally added new features we were missing like a cover page and contents while I liaised with brand on the final look and feel. By the time the team were ready to implement and release the final design, all the known technical hurdles had been overcome ensuring a smooth delivery.

This change has been very well received internally and externally, as it was a relatively cheap project to run but instrumentally changed the user experience for the better, leading to us being described by users as market leading in the reporting space.

Report design over time

New Feature - Target growth

Originally, we had benchmarking on our roadmap, which was reliant on a 3rd party data provider. This initiative had to be dropped as costs proved prohibitive. Rather than admit defeat and tell our users we couldn't deliver this feature, I revisited research and noticed an expression of interest in a "Personal benchmarking idea".

To validate this, I ran a series of moderated and unmoderated tests with users, understanding why they would want to benchmark in general, what sort of financial goals clients most often held, and how this fit into the reporting ecosystem

It became clear that users often had measurable financial goals such as prove benefit of a strategy by growing 3.5% in one year or reach a pension pot of £100,000 by age 35 .

Financial targets often feel speculative and intangible, so if they could visualise goals and include them in annual reports it would be a big benefit to clients and financial advisers.

This project took a fair few iterations to get right and get a business case approved, and required working closely with senior leadership alongside my own sprint team to sell the value of this feature.

Eventually we were able to compromise and land on a new section allowing advisers to enter a £ or % target for their clients' investment products. They could set a target for each product the user held, then see every time they logged in how the client's current product value or growth compared with this target, and amend if required.

This compromise met the research need of visually tracking performance against a personal benchmark, whilst limiting it to a smaller MVP-style delivery to ensure market receptiveness before investing further.

Target growth concept demo

Rapid prototypes like this were useful for aligning senior stakeholders around scope and trade-offs, as I could quickly toggle features to see how each one affected the overall experience.

12 months of transformation

Insights

  • Within the first year of launch, monthly users grew from an average of 328 to more than 1,300, showing strong adoption among eligible advisers.

  • Number of reports produced using the tool reached 7,255+ within the first operational year.

  • We delivered a sustained iteration programme, releasing a total of 17 improvements after the initial rollout.

  • We built a loyal user base of advisers switching entirely to our reporting services, abandoning their own in-house or competitor-owned solutions.

What I learned

This was a strong project for developing as a designer and learning to balance user needs with the broader business picture. Over the year I worked with two talented product owners who reinforced the importance of evidence-based decision making and gave me room to challenge assumptions when the data supported it.

I also reinforced the value of building strong relationships with developers early, because rapid technical validation can stop complexity from becoming a problem later in the process.

If I were to do it again, I would increase the amount of early evidence capture around adoption, accessibility, and commercial impact so those metrics were even more tightly tied to release decisions.

This is a project I'm incredibly proud of, as the user value is clear, and it's been a pleasure helping it evolve.