5 mins

Making the Complex Simple: Clarity as a UX Superpower in Financial Services

In the realm of financial services, complexity isn't just a challenge, it's the default state. From intricate investment products to multi-layered insurance policies to complex fee structures, financial services are inherently complicated. But your users don't want complexity; they want confidence, clarity, and control over their financial lives.

How to keep things simple with good UX research 

Understanding how users perceive and navigate complexity requires systematic research. Optimal's platform offers specialized tools to identify complexity pain points and validate simplification strategies:

Uncover Navigation Challenges with Tree Testing

Complex financial products often create equally complex navigation structures:

How can you solve this? 

  • Test how easily users can find key information within your financial platform
  • Identify terminology and organizational structures that confuse users
  • Compare different information architectures to find the most intuitive organization

Identify Confusion Points with First-Click Testing

Understanding where users instinctively look for information reveals valuable insights about mental models:

How can you solve this? 

  • Test where users click when trying to accomplish common financial tasks
  • Compare multiple interface designs for complex financial tools
  • Identify misalignments between expected and actual user behavior

Understand User Mental Models with Card Sorting

Financial terminology and categorization often don't align with how customers think:

How can you solve this? 

  • Use open card sorts to understand how users naturally group financial concepts
  • Test comprehension of financial terminology
  • Identify intuitive labels for complex financial products

Practical Strategies for Simplifying Financial UX

1. Progressive Information Disclosure

Rather than bombarding users with all information at once, layer information from essential to detailed:

  • Start with core concepts and benefits
  • Provide expandable sections for those who want deeper dives
  • Use tooltips and contextual help for terminology
  • Create information hierarchies that guide users from basic to advanced understanding

2. Visual Representation of Numerical Concepts

Financial services are inherently numerical, but humans don't naturally think in numbers—we think in pictures and comparisons.

What could this look like? 

  • Use visual scales and comparisons instead of just presenting raw numbers
  • Implement interactive calculators that show real-time impact of choices
  • Create visual hierarchies that guide attention to most relevant figures
  • Design comparative visualizations that put numbers in context

3. Contextual Decision Support

Users don't just need information; they need guidance relevant to their specific situation.

How do you solve for this? 

  • Design contextual recommendations based on user data
  • Provide comparison tools that highlight differences relevant to the user
  • Offer scenario modeling that shows outcomes of different choices
  • Implement guided decision flows for complex choices

4. Language Simplification and Standardization

Financial jargon is perhaps the most visible form of unnecessary complexity. So, what can you do? 

  • Develop and enforce a simplified language style guide
  • Create a financial glossary integrated contextually into the experience
  • Test copy with actual users, measuring comprehension, not just preference
  • Replace industry terms with everyday language when possible

Measuring Simplification Success

To determine whether your simplification efforts are working, establish a continuous measurement program:

1. Establish Complexity Baselines

Use Optimal's tools to create baseline measurements:

  • Success rates for completing complex tasks
  • Time required to find critical information
  • Comprehension scores for key financial concepts
  • User confidence ratings for financial decisions

2. Implement Iterative Testing

Before launching major simplification initiatives, validate improvements through:

  • A/B testing of alternative explanations and designs
  • Comparative testing of current vs. simplified interfaces
  • Comprehension testing of revised terminology and content

3. Track Simplification Metrics Over Time

Create a dashboard of key simplification indicators:

  • Task success rates for complex financial activities
  • Support call volume related to confusion
  • Feature adoption rates for previously underutilized tools
  • User-reported confidence in financial decisions

Where rubber hits the road: Organizational Commitment to Clarity

True simplification goes beyond interface design. It requires organizational commitment at the most foundational level:

  • Product development: Are we creating inherently understandable products?
  • Legal and compliance: Can we satisfy requirements while maintaining clarity?
  • Marketing: Are we setting appropriate expectations about complexity?
  • Customer service: Are we gathering intelligence about confusion points?

When there is a deep commitment from the entire organization to simplification, it becomes part of a businesses’ UX DNA. 

Conclusion: The Future Belongs to the Clear

As financial services become increasingly digital and self-directed, clarity bcomes essential for business success. The financial brands that will thrive in the coming decade won't necessarily be those with the most features or the lowest fees, but those that make the complex world of finance genuinely understandable to everyday users.

By embracing clarity as a core design principle and supporting it with systematic user research, you're not just improving user experience, you're democratizing financial success itself.

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1 min read

Making the Complex Simple: Clarity as a UX Superpower in Financial Services

In the realm of financial services, complexity isn't just a challenge, it's the default state. From intricate investment products to multi-layered insurance policies to complex fee structures, financial services are inherently complicated. But your users don't want complexity; they want confidence, clarity, and control over their financial lives.

How to keep things simple with good UX research 

Understanding how users perceive and navigate complexity requires systematic research. Optimal's platform offers specialized tools to identify complexity pain points and validate simplification strategies:

Uncover Navigation Challenges with Tree Testing

Complex financial products often create equally complex navigation structures:

How can you solve this? 

  • Test how easily users can find key information within your financial platform
  • Identify terminology and organizational structures that confuse users
  • Compare different information architectures to find the most intuitive organization

Identify Confusion Points with First-Click Testing

Understanding where users instinctively look for information reveals valuable insights about mental models:

How can you solve this? 

  • Test where users click when trying to accomplish common financial tasks
  • Compare multiple interface designs for complex financial tools
  • Identify misalignments between expected and actual user behavior

Understand User Mental Models with Card Sorting

Financial terminology and categorization often don't align with how customers think:

How can you solve this? 

  • Use open card sorts to understand how users naturally group financial concepts
  • Test comprehension of financial terminology
  • Identify intuitive labels for complex financial products

Practical Strategies for Simplifying Financial UX

1. Progressive Information Disclosure

Rather than bombarding users with all information at once, layer information from essential to detailed:

  • Start with core concepts and benefits
  • Provide expandable sections for those who want deeper dives
  • Use tooltips and contextual help for terminology
  • Create information hierarchies that guide users from basic to advanced understanding

2. Visual Representation of Numerical Concepts

Financial services are inherently numerical, but humans don't naturally think in numbers—we think in pictures and comparisons.

What could this look like? 

  • Use visual scales and comparisons instead of just presenting raw numbers
  • Implement interactive calculators that show real-time impact of choices
  • Create visual hierarchies that guide attention to most relevant figures
  • Design comparative visualizations that put numbers in context

3. Contextual Decision Support

Users don't just need information; they need guidance relevant to their specific situation.

How do you solve for this? 

  • Design contextual recommendations based on user data
  • Provide comparison tools that highlight differences relevant to the user
  • Offer scenario modeling that shows outcomes of different choices
  • Implement guided decision flows for complex choices

4. Language Simplification and Standardization

Financial jargon is perhaps the most visible form of unnecessary complexity. So, what can you do? 

  • Develop and enforce a simplified language style guide
  • Create a financial glossary integrated contextually into the experience
  • Test copy with actual users, measuring comprehension, not just preference
  • Replace industry terms with everyday language when possible

Measuring Simplification Success

To determine whether your simplification efforts are working, establish a continuous measurement program:

1. Establish Complexity Baselines

Use Optimal's tools to create baseline measurements:

  • Success rates for completing complex tasks
  • Time required to find critical information
  • Comprehension scores for key financial concepts
  • User confidence ratings for financial decisions

2. Implement Iterative Testing

Before launching major simplification initiatives, validate improvements through:

  • A/B testing of alternative explanations and designs
  • Comparative testing of current vs. simplified interfaces
  • Comprehension testing of revised terminology and content

3. Track Simplification Metrics Over Time

Create a dashboard of key simplification indicators:

  • Task success rates for complex financial activities
  • Support call volume related to confusion
  • Feature adoption rates for previously underutilized tools
  • User-reported confidence in financial decisions

Where rubber hits the road: Organizational Commitment to Clarity

True simplification goes beyond interface design. It requires organizational commitment at the most foundational level:

  • Product development: Are we creating inherently understandable products?
  • Legal and compliance: Can we satisfy requirements while maintaining clarity?
  • Marketing: Are we setting appropriate expectations about complexity?
  • Customer service: Are we gathering intelligence about confusion points?

When there is a deep commitment from the entire organization to simplification, it becomes part of a businesses’ UX DNA. 

Conclusion: The Future Belongs to the Clear

As financial services become increasingly digital and self-directed, clarity bcomes essential for business success. The financial brands that will thrive in the coming decade won't necessarily be those with the most features or the lowest fees, but those that make the complex world of finance genuinely understandable to everyday users.

By embracing clarity as a core design principle and supporting it with systematic user research, you're not just improving user experience, you're democratizing financial success itself.

Learn more
1 min read

5 ways to measure UX return on investment

Return on investment (ROI) is often the term on everyone’s lips when starting a big project or even when reviewing a website. It’s especially popular with those that hold the purse strings.  As UX researchers it is important to consider the ROI of the work we do and understand how to measure this. 

We’ve lined up 5 key ways to measure ROI for UX research to help you get the conversation underway with stakeholders so you can show real and tangible benefits to your organization. 

1. Meet and exceed user expectations

Put simply, a product that meets and exceeds user expectations leads to increased revenue. When potential buyers are able to find and purchase what they’re looking for, easily, they’ll complete their purchase, and are far more likely to come back. The simple fact that users can finish their task will increase sales and improve overall customer satisfaction which has an influence on their loyalty. Repeat business means repeat sales. Means increased revenue.

Creating, developing and maintaining a usable website is more important than you might think. And this is measurable! Tracking and analyzing website performance prior to the UX research and after can be insightful and directly influenced by changes made based on UX research.

Measurable: review the website (product) performance prior to UX research and after changes have been made. The increase in clicks, completed tasks and/or baskets will tell the story.

2. Reduce development time

UX research done at the initial stages of a project can lead to a reduction in development time of by 33% to 50%! And reduced time developing, means reduced costs (people and overheads) and a speedier to market date. What’s not to love? 

Measurable: This one is a little more tricky as you have saved time (and cost) up front. Aiding in speed to market and performance prior to execution. Internal stakeholder research may be of value post the live date to understand how the project went.

3. Ongoing development costs

And the double hitter? Creating a product that has the user in mind up front, reduces the need to rehash or revisit as quickly. Reducing ongoing costs. Early UX research can help with the detection of errors early on in the development process. Fixing errors after development costs a company up to 100 times more than dealing with the same error before development.

Measureable: Again, as UX research has saved time and money up front this one can be difficult to track. Though depending on your organization and previous projects you could conduct internal research to understand how the project compares and the time and cost savings.

4. Meeting user requirements

Did you know that 70% of projects fail due to the lack of user acceptance? This is often because project managers fail to understand the user requirements properly. Thanks to UX research early on, gaining insights into users and only spending time developing the functions users actually want, saving time and reducing development costs. Make sure you get confirmation on those requirements by iterative testing. As always, fail early, fail often. Robust testing up front means that in the end, you’ll have a product that will meet the needs of the user.

Measurable: Where is the product currently? How does it perform? Set a benchmark up front and review post UX research. The deliverables should make the ROI obvious.

5. Investing in UX research leads to an essential competitive advantage.

Thanks to UX research you can find out exactly what your customers want, need and expect from you. This gives you a competitive advantage over other companies in your market. But you should be aware that more and more companies are investing in UX while customers are ever more demanding, their expectations continue to grow and they don’t tolerate bad experiences. And going elsewhere is an easy decision to make.

Measurable: Murky this one, but no less important. Knowing, understanding and responding to competitors can help keep you in the lead, and developing products that meet and exceed those user expectations.

Wrap up

Showing the ROI on the work we do is an essential part of getting key stakeholders on board with our research. It can be challenging to talk the same language, ultimately we all want the same outcome…a product that works well for our users, and delivers additional revenue.

For some continued reading (or watching in this case), Anna Bek, Product and Delivery Manager at Xplor explored the same concept of "How to measure experience" during her UX New Zealand 2020 – watch it here as she shares a perspective on UX ROI.

Learn more
1 min read

Optimal vs. Maze: Deep User Insights or Surface-Level Design Feedback

Product teams face an important decision when selecting the right user research platform: do they prioritize speed and simplicity, or invest in a more comprehensive platform that offers real research depth and insights? This choice becomes even more critical as user research scales and those insights directly influence major product decisions.

Maze has gained popularity in recent years among design and product teams for its focus on rapid prototype testing and design workflow integration. However, as teams scale their research programs and require more sophisticated insights, many discover that Maze's limitations outweigh its simplicity. Platform stability issues, restricted tools and functionality, and a lack of enterprise features creates friction that end up compromising insight speed, quality and overall business impact.

Why Choose Optimal instead of Maze?

Platform Depth

Test Design Flexibility

Optimal Offers Comprehensive Test Flexibility: Optimal has a Figma integration, image import capabilities, and fully customizable test flows designed for agile product teams.

Maze has Rigid Question Types: In contrast, Maze's focus on speed comes with design inflexibility, including rigid question structures and limited customization options that reduce overall test effectiveness.

Live Site Testing

Optimal Delivers Comprehensive Live Site Testing: Optimal's live site testing allows you to test your actual website or web app in real-time with real users, gathering behavioral data and usability insights post-launch without any code requirements. This enables continuous testing and iteration even after products are in users' hands.

Maze Offers Basic Live Website Testing: While Maze provides live website testing capabilities, its focus remains primarily on unmoderated studies with limited depth for ongoing site optimization.

Interview and Moderated Research Capabilities

Optimal Interviews Transforms Research Analysis: Optimal's new Interviews tool revolutionizes how teams extract insights from user research. Upload interview videos and let AI automatically surface key themes, generate smart highlight reels, create timestamped transcripts, and produce actionable insights in hours instead of weeks. Every insight comes with supporting video evidence, making it easy to back up recommendations with real user feedback and share compelling clips with stakeholders.

Maze Interview Studies Requires Enterprise Plan: Maze's Interview Studies feature for moderated research is only available on their highest-tier Organization plan, putting live moderated sessions out of reach for small and mid-sized teams. Teams on lower tiers must rely solely on unmoderated testing or use separate tools for interviews.

Prototype Testing Capabilities

Optimal has Advanced Prototype Testing: Optimal supports sophisticated prototype testing with full Figma integration, comprehensive interaction capture, and flexible testing methods that accommodate modern product design and development workflows.

Maze has Limited Prototype Support: Users report difficulties with Maze's prototype testing capabilities, particularly with complex interactions and advanced design systems that modern products require.

Analysis and Reporting Quality

Optimal has Rich, Actionable Insights: Optimal delivers AI-powered analysis with layered insights, export-ready reports, and sophisticated visualizations that transform data into actionable business intelligence.

Maze Only Offers Surface-Level Reporting: Maze provides basic metrics and surface-level analysis without the depth required for strategic decision-making or comprehensive user insight.

Enterprise Features

Dedicated Enterprise Support

Optimal Provides Dedicated Enterprise Support: Optimal offers fast, personalized support with dedicated account teams and comprehensive training resources built by user experience experts that ensure your team is set up for success.

Maze has a Reactive Support Model: Maze provides responsive support primarily for critical issues but lacks the proactive, dedicated support enterprise product teams require.

Enterprise Readiness

Optimal is an Enterprise-Built Platform: Optimal was designed for enterprise use with comprehensive security protocols, compliance certifications, and scalability features that support large research programs across multiple teams and business units. Optimal is currently trusted by some of the world's biggest brands including Netflix, Lego and Nike.

Maze is Built for Individuals: Maze was built primarily for individual designers and small teams, lacking the enterprise features, compliance capabilities, and scalability that large organizations need.

Enterprises Need Reliable, Scalable User Insights

While Maze's focus on speed appeals to design teams seeking rapid iteration, enterprise product teams need the stability and reliability that only mature platforms provide. Optimal delivers both speed and dependability, enabling teams to iterate quickly without compromising research quality or business impact. Platform reliability isn't just about uptime, it's about helping product teams make high quality strategic decisions and to build organizational confidence in user insights. Mature product, design and UX teams need to choose platforms that enhance rather than undermine their research credibility.

Don't let platform limitations compromise your research potential.

Ready to see how leading brands including Lego, Netflix and Nike achieve better research outcomes? Experience how Optimal's platform delivers user insights that adapt to your team's growing needs.

Seeing is believing

Explore our tools and see how Optimal makes gathering insights simple, powerful, and impactful.