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

How to Measure UX Research Impact: Beyond CSAT and NPS

Proving the value of UX research has never been more important, or more difficult. Traditional metrics like CSAT and NPS are useful, but they tell an incomplete story. They capture how users feel, not how research influenced product decisions, reduced risk, or drove business outcomes. If you're trying to measure UX research impact in a way that resonates with stakeholders, it's time to look beyond the usual scorecards.

Why CSAT and NPS fall short for UX research

CSAT and NPS, while valuable, have significant limitations when it comes to measuring UXR impact. These metrics provide a snapshot of user sentiment but fail to capture the direct influence of research insights on product decisions, business outcomes, or long-term user behavior. Moreover, they can be influenced by factors outside of UXR's control, such as marketing campaigns or competitor actions, making it challenging to isolate the specific impact of research efforts.

Another limitation is the lack of context these metrics provide. They don't offer insights into why users feel a certain way or how specific research-driven improvements contributed to their satisfaction. This absence of depth can lead to misinterpretation of data and missed opportunities for meaningful improvements.

Better ways to measure UX research impact

To overcome these limitations, UX researchers are exploring alternative approaches to measuring impact. One promising method is the use of proxy measures that more directly tie to research activities. For example, tracking the number of research-driven product improvements implemented or measuring the reduction in customer support tickets related to usability issues can provide more tangible evidence of UXR's impact.

Another approach gaining traction is the integration of qualitative data into impact measurement. By combining quantitative metrics with rich, contextual insights from user interviews and observational studies, researchers can paint a more comprehensive picture of how their work influences user behavior and product success.

Connecting UX research to business outcomes

Perhaps the most powerful way to demonstrate UXR's value is by directly connecting research insights to key business outcomes. This requires a deep understanding of organizational goals and close collaboration with stakeholders across functions. For instance, if a key business objective is to increase user retention, UX researchers can focus on identifying drivers of user loyalty and track how research-driven improvements impact retention rates over time.

Risk reduction is another critical area where UXR can demonstrate significant value. By validating product concepts and designs before launch, researchers can help organizations avoid costly mistakes and reputational damage. Tracking the number of potential issues identified and resolved through research can provide a tangible measure of this impact.

How teams are proving the value of UX research

While standardized metrics for UXR impact remain elusive, some organizations have successfully implemented innovative measurement approaches. For example, one technology company developed a "research influence score" that tracks how often research insights are cited in product decision-making processes and the subsequent impact on key performance indicators.

Another case study involves a financial services firm that implemented a "research ROI calculator." This tool estimates the potential cost savings and revenue increases associated with research-driven improvements, providing a clear financial justification for UXR investments.

These case studies highlight the importance of tailoring measurement approaches to the specific context and goals of each organization. By thinking creatively and collaborating closely with stakeholders, UX researchers can develop meaningful ways to quantify their impact and demonstrate the strategic value of their work.

As the field of UXR continues to evolve, so too must our approaches to measuring its impact. By moving beyond traditional metrics and embracing more holistic and business-aligned measurement strategies, we can ensure that the true value of user research is recognized and leveraged to drive organizational success. The future of UXR lies not just in conducting great research, but in effectively communicating its impact and cementing its role as a critical strategic function within modern organizations.

How Optimal helps you measure UX research ROI

Measuring impact is only half the equation, you also need the right tools to make it possible. Optimal is a UX research platform built to help teams run research faster, share insights more effectively, and demonstrate real impact to stakeholders.

Key capabilities that support better impact measurement:

  • Faster research cycles: Automated participant management and data collection mean quicker turnaround and more frequent research.

  • Stakeholder collaboration: Built-in sharing tools keep stakeholders close to the research, making it easier to drive action on insights.

  • Robust analytics: Visualize and communicate findings in ways that connect to business outcomes, not just user sentiment.

  • Scalable research: An intuitive interface means product teams can run their own studies, extending research reach across the organization.

  • Comprehensive reporting: Generate clear, professional reports that make the value of research visible at every level.

If you're working on making the case for UX research in your organization, explore what Optimal can do.

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1 min read

How to convince others of the importance of UX research

There’s not much a parent won’t do to ensure their child has the best chance of succeeding in life. Unsurprisingly, things are much the same in product development. Whether it’s a designer, manager, developer or copywriter, everyone wants to see the product reach its full potential.

Key to a product’s success (even though it’s still not widely practiced) is UX research. Without research focused on learning user pain points and behaviors, development basically happens in the dark. Feeding direct insights from customers and users into the development of a product means teams can flick the light on and make more informed design decisions.

While the benefits of user research are obvious to anyone working in the field, it can be a real challenge to convince others of just how important and useful it is. We thought we’d help.

Define user research

If you want to sell the importance of UX research within your organization, you’ve got to ensure stakeholders have a clear understanding of what user research is and what they stand to gain from backing it.

In general, there are a few key things worth focusing on when you’re trying to explain the benefits of research:

  • More informed design decisions: Companies make major design decisions far too often without considering users. User research provides the data needed to make informed decisions.
  • Less uncertainty and risk: Similarly, research reduces risk and uncertainty simply by giving companies more clarity around how a particular product or service is used.
  • Retention and conversion benefits: Research means you’ll be more aligned with the needs of your customers and prospective customers.

Use the language of the people you’re trying to convince. A capable UX research practice will almost always improve key business metrics, namely sales and retention.

The early stages

When embarking on a project, book in some time early in the process to answer questions, explain your research approach and what you hope to gain from it. Here are some of the key things to go over:

  • Your objectives: What are you trying to achieve? This is a good time to cover your research questions.
  • Your research methods: Which methods will you be using to carry out your research? Cover the advantages of these methods and the information you’re likely to get from using them.
  • Constraints: Do you see any major obstacles? Any issues with resources?
  • Provide examples: Nothing shows the value of doing research quite like a case study. If you can’t find an example of research within your own organization, see what you can find online.

Involve others in your research

When trying to convince someone of the validity of what you’re doing, it’s often best to just show them. There are a couple of effective ways you can do this – at a team or individual level and at an organizational level.

We’ll explain the best way to approach this below, but there’s another important reason to bring others into your research. UX research can’t exist in a vacuum – it thrives on integration and collaboration with other teams. Importantly, this also means working with other teams to define the problems they’re trying to solve and the scope of their projects. Once you’ve got an understanding of what they’re trying to achieve, you’ll be in a better position to help them through research.

Educate others on what research is

Education sessions (lunch-and-learns) are one of the best ways to get a particular team or group together and run through the what and why of user research. You can work with them to work out what they’d like to see from you, and how you can help each other.

Tailor what you’re saying to different teams, especially if you’re talking to people with vastly different skill sets. For example, developers and designers are likely to see entirely different value in research.

Collect user insights across the organization

Putting together a comprehensive internal repository focused specifically on user research is another excellent way to grow awareness. It can also help to quantify things that may otherwise fall by the wayside. For example, you can measure the magnitude of certain pain points or observe patterns in feature requests. Using a platform like Notion or Confluence (or even Google Drive if you don’t want a dedicated platform), log all of your study notes, insights and research information that you find useful.

Whenever someone wants to learn more about research within the organization, they’ll be able to find everything easily.

Bring stakeholders along to research sessions

Getting a stakeholder along to a research session (usability tests and user interviews are great starting points) will help to show them the value that face-to-face sessions with users can provide.

To really involve an observer in your UX research, assign them a specific role. Note taker, for example. With a short briefing on best-practices for note taking, they can get a feel for what’s like to do some of the work you do.

You may also want to consider bringing anyone who’s interested along to a research session, even if they’re just there to observe.

Share your findings – consistently

Research is about more than just testing a hypothesis, it’s important to actually take your research back to the people who can action the data.

By sharing your research findings with teams and stakeholders regularly, your organization will start to build up an understanding of the value that ongoing research can provide, meaning getting approval to pursue research in future becomes easier. This is a bit of a chicken and egg situation, but it’s a practice that all researchers need to get into – especially those embedded in large teams or organizations.

Anything else you think is worth mentioning? Let us know in the comments.

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1 min read

Dive deeper into participant responses with segments

Our exciting new feature, segments, saves time by allowing you to create and save groups of participant responses based on various filters. Think of it as your magic wand to effortlessly organize and scrutinize the wealth of data and insight you collect in your studies. Even more exciting is that the segments are available in all our quantitative study tools, including Optimal Sort, Treejack, Chalkmark, and Questions.

What exactly are segments?

In a nutshell, segments let you effortlessly create and save groups of participants' results based on various filters, saving you and the team time and ensuring you are all on the same page. 

A segment represents a demographic within the participants who completed your study. These segments can then be applied to your study results, allowing you to easily view and analyze the results of that specific demographic and spot the hidden trends.

What filters can I use?

Put simply, you've got a treasure trove of participant data, and you need to be able to slice and dice it in various ways. Segmenting your data will help you dissect and explore your results for deeper and more accurate results.

Question responses: Using a screener survey or pre - or post-study questions with pre-set answers (like multi-choice), you can segment your results based on their responses.

URL tag: If you identify participants using a unique identifier such as a URL tag, you can select these to create segments.

Tree test tasks, card sort categories created, first click test and survey responses: Depending on your study type, you can create a segment to categorize participants based on their response in the study. 

Time taken: You can select the time taken filter to view data from those who completed your study in a short space of time. This may highlight some time wasters who speed through and probably haven’t provided you with high-quality responses. On the other hand, it can provide insight into A/B tests for example, it could show you if it’s taking participants of a tree test longer to find a destination in one tree or another.

With this feature, you can save and apply multiple segments to your results, using a combination of AND/OR logic when creating conditions. This means you can get super granular insights from your participants and uncover those gems that might have otherwise remained hidden.

When should you use segments?

This feature is your go-to when you have results from two or more participant segments. For example, imagine you're running a study involving both teachers and students. You could focus on a segment that gave a specific answer to a particular task, question, or card sort. It allows you to drill down into the nitty-gritty of your data and gain more understanding of your customers.

How segments help you to unlock data magic 💫

Let's explore how you can harness the power of segments:

Save time: Create and save segments to ensure everyone on your team is on the same page. With segments, there's no room for costly data interpretation mishaps as everyone is singing from the same hymn book.

Surface hidden trends: Identifying hidden trends or patterns within your study is much easier.  With segments,  you can zoom in on specific demographics and make insightful, data-driven decisions with confidence.

Organized chaos: No more data overload! With segments, you can organize participant data into meaningful groups, unleashing clarity and efficiency.

How to create a segment

Ready to take segments for a spin?  To create a new segment or edit an existing one, go to  Results > Participants > Segments. Select the ‘Create segment’ button and select the filters you want to use. You can add multiple conditions, and save the segment.  To select a segment to apply to your results, click on ‘All included participants’ and select your segment from the drop-down menu.  This option will apply to all your results in your study. 


We can't wait to see the exciting discoveries you'll make with this powerful tool. Get segmenting, and let us know what you think! 

Help articles

How to add a group tag in a study URL for participants

How to integrate with a participant recruitment panel

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