April 10, 2022
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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.

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Usability Experts Unite: The Power of Heuristic Evaluation in User Interface Design

Usability experts play an essential role in the user interface design process by evaluating the usability of digital products from a very important perspective - the users! Usability experts utilize various techniques such as heuristic evaluation, usability testing, and user research to gather data on how users interact with digital products and services. This data helps to identify design flaws and areas for improvement, leading to the development of user-friendly and efficient products.

Heuristic evaluation is a usability research technique used to evaluate the user interface design of a digital product based on a set of ‘heuristics’ or ‘usability principles’. These heuristics are derived from a set of established principles of user experience design - attributed to the landmark article “Improving a Human-Computer Dialogue” published by web usability pioneers Jakob Nielsen and Rolf Molich in 1990. The principles focus on the experiential aspects of a user interface. 

In this article, we’ll discuss what heuristic evaluation is and how usability experts use the principles to create exceptional design. We’ll also discuss how usability testing works hand-in-hand with heuristic evaluation, and how minimalist design and user control impact user experience. So, let’s dive in!

Understanding Heuristic Evaluation


Heuristic evaluation helps usability experts to examine interface design against tried and tested rules of thumb. To conduct a heuristic evaluation, usability experts typically work through the interface of the digital product and identify any issues or areas for improvement based on these broad rules of thumb, of which there are ten. They broadly cover the key areas of design that impact user experience - not bad for an article published over 30 years ago!

The ten principles are:

  1. Prevention error: Well-functioning error messages are good, but instead of messages, can these problems be removed in the first place? Remove the opportunity for slips and mistakes to occur.
  2. Consistency and standards: Language, terms, and actions used should be consistent to not cause any confusion.
  3. Control and freedom for users: Give your users the freedom and control to undo/redo actions and exit out of situations if needed.
  4. System status visibility: Let your users know what’s going on with the site. Is the page they’re on currently loading, or has it finished loading?
  5. Design and aesthetics: Cut out unnecessary information and clutter to enhance visibility. Keep things in a minimalist style.
  6. Help and documentation: Ensure that information is easy to find for users, isn’t too large and is focused on your users’ tasks.
  7. Recognition, not recall: Make sure that your users don’t have to rely on their memories. Instead, make options, actions and objects visible. Provide instructions for use too.
  8. Provide a match between the system and the real world: Does the system speak the same language and use the same terms as your users? If you use a lot of jargon, make sure that all users can understand by providing an explanation or using other terms that are familiar to them. Also ensure that all your information appears in a logical and natural order.
  9. Flexibility: Is your interface easy to use and it is flexible for users? Ensure your system can cater to users to all types, from experts to novices.
  10. Help users to recognize, diagnose and recover from errors: Your users should not feel frustrated by any error messages they see. Instead, express errors in plain, jargon-free language they can understand. Make sure the problem is clearly stated and offer a solution for how to fix it.

Heuristic evaluation is a cost-effective way to identify usability issues early in the design process (although they can be performed at any stage) leading to faster and more efficient design iterations. It also provides a structured approach to evaluating user interfaces, making it easier to identify usability issues. By providing valuable feedback on overall usability, heuristic evaluation helps to improve user satisfaction and retention.

The Role of Usability Experts in Heuristic Evaluation

Usability experts play a central role in the heuristic evaluation process by providing feedback on the usability of a digital product, identifying any issues or areas for improvement, and suggesting changes to optimize user experience.

One of the primary goals of usability experts during the heuristic evaluation process is to identify and prevent errors in user interface design. They achieve this by applying the principles of error prevention, such as providing clear instructions and warnings, minimizing the cognitive load on users, and reducing the chances of making errors in the first place. For example, they may suggest adding confirmation dialogs for critical actions, ensuring that error messages are clear and concise, and making the navigation intuitive and straightforward.

Usability experts also use user testing to inform their heuristic evaluation. User testing involves gathering data from users interacting with the product or service and observing their behavior and feedback. This data helps to validate the design decisions made during the heuristic evaluation and identify additional usability issues that may have been missed. For example, usability experts may conduct A/B testing to compare the effectiveness of different design variations, gather feedback from user surveys, and conduct user interviews to gain insights into users' needs and preferences.

Conducting user testing with users that represent, as closely as possible, actual end users, ensures that the product is optimized for its target audience. Check out our tool Reframer, which helps usability experts collaborate and record research observations in one central database.

Minimalist Design and User Control in Heuristic Evaluation

Minimalist design and user control are two key principles that usability experts focus on during the heuristic evaluation process. A minimalist design is one that is clean, simple, and focuses on the essentials, while user control refers to the extent to which users can control their interactions with the product or service.

Minimalist design is important because it allows users to focus on the content and tasks at hand without being distracted by unnecessary elements or clutter. Usability experts evaluate the level of minimalist design in a user interface by assessing the visual hierarchy, the use of white space, the clarity of the content, and the consistency of the design elements. Information architecture (the system and structure you use to organize and label content) has a massive impact here, along with the content itself being concise and meaningful.

Incorporating minimalist design principles into heuristic evaluation can improve the overall user experience by simplifying the design, reducing cognitive load, and making it easier for users to find what they need. Usability experts may incorporate minimalist design by simplifying the navigation and site structure, reducing the number of design elements, and removing any unnecessary content (check out our tool Treejack to conduct site structure, navigation, and categorization research). Consistent color schemes and typography can also help to create a cohesive and unified design.

User control is also critical in a user interface design because it gives users the power to decide how they interact with the product or service. Usability experts evaluate the level of user control by looking at the design of the navigation, the placement of buttons and prompts, the feedback given to users, and the ability to undo actions. Again, usability testing plays an important role in heuristic evaluation by allowing researchers to see how users respond to the level of control provided, and gather feedback on any potential hiccups or roadblocks.

Usability Testing and Heuristic Evaluation

Usability testing and heuristic evaluation are both important components of the user-centered design process, and they complement each other in different ways.

Usability testing involves gathering feedback from users as they interact with a digital product. This feedback can provide valuable insights into how users perceive and use the user interface design, identify any usability issues, and help validate design decisions. Usability testing can be conducted in different forms, such as moderated or unmoderated, remote or in-person, and task-based or exploratory. Check out our usability testing 101 article to learn more.

On the other hand, heuristic evaluation is a method in which usability experts evaluate a product against a set of usability principles. While heuristic evaluation is a useful method to quickly identify usability issues and areas for improvement, it does not involve direct feedback from users.

Usability testing can be used to validate heuristic evaluation findings by providing evidence of how users interact with the product or service. For example, if a usability expert identifies a potential usability issue related to the navigation of a website during heuristic evaluation, usability testing can be used to see if users actually have difficulty finding what they need on the website. In this way, usability testing provides a reality check to the heuristic evaluation and helps ensure that the findings are grounded in actual user behavior.

Usability testing and heuristic evaluation work together in the design process by informing and validating each other. For example, a designer may conduct heuristic evaluation to identify potential usability issues and then use the insights gained to design a new iteration of the product or service. The designer can then use usability testing to validate that the new design has successfully addressed the identified usability issues and improved the user experience. This iterative process of designing, testing, and refining based on feedback from both heuristic evaluation and usability testing leads to a user-centered design that is more likely to meet user needs and expectations.

Conclusion

Heuristic evaluation is a powerful usability research technique that usability experts use to evaluate digital product interfaces based on a set of established principles of user experience design. After all these years, the ten principles of heuristic evaluation still cover the key areas of design that impact user experience, making it easier to identify usability issues early in the design process, leading to faster and more efficient design iterations. Usability experts play a critical role in the heuristic evaluation process by identifying design flaws and areas for improvement, using user testing to validate design decisions, and ensuring that the product is optimized for its intended users.

Minimalist design and user control are two key principles that usability experts focus on during the heuristic evaluation process. A minimalist design is clean, simple, and focuses on the essentials, while user control gives users the freedom and control to undo/redo actions and exit out of situations if needed. By following these principles, usability experts can create an exceptional design that enhances visibility, reduces cognitive load, and provides a positive user experience. 

Ultimately, heuristic evaluation is a cost-effective way to identify usability issues at any point in the design process, leading to faster and more efficient design iterations, and improving user satisfaction and retention. How many of the ten heuristic design principles does your digital product satisfy? 

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1 min read

Why Understanding Users Has Never Been Easier...or Harder

Product, design and research teams today are drowning in user data while starving for user understanding. Never before have teams had such access to user information, analytics dashboards, heatmaps, session recordings, survey responses, social media sentiment, support tickets, and endless behavioral data points. Yet despite this volume of data, teams consistently build features users don't want and miss needs hiding in plain sight.

It’s a true paradox for product, design and research teams: more information has made genuine understanding more elusive. 

Because with  all this data, teams feel informed. They can say with confidence: "Users spend 3.2 minutes on this page," "42% abandon at this step," "Power users click here." But what this data doesn't tell you is Why. 

The Difference between Data and Insight

Data tells you what happened. Understanding tells you why it matters.

Here’s a good example of this: Your analytics show that 60% of users abandon a new feature after first use. You know they're leaving. You can see where they click before they go. You have their demographic data and behavioral patterns.

But you don't know:

  • Were they confused or simply uninterested?
  • Did it solve their problem too slowly or not at all?
  • Would they return if one thing changed, or is the entire approach wrong?
  • Are they your target users or the wrong segment entirely?

One team sees "60% abandonment" and adds onboarding tooltips. Another talks to users and discovers the feature solves the wrong problem entirely. Same data, completely different understanding.

Modern tools make it dangerously easy to mistake observation for comprehension, but some aspects of user experience exist beyond measurement:

  • Emotional context, like the frustration of trying to complete a task while handling a crying baby, or the anxiety of making a financial decision without confidence.
  • The unspoken needs of users which can only be demonstrated through real interactions. Users develop workarounds without reporting bugs. They live with friction because they don't know better solutions exist.
  • Cultural nuances that numbers don't capture, like how language choice resonates differently across cultures, or how trust signals vary by context.
  • Data shows what users do within your current product. It doesn't reveal what they'd do if you solved their problems differently to help you identify new opportunities. 

Why Human Empathy is More Important than Ever 

The teams building truly user-centered products haven't abandoned data but they've learned to combine quantitative and qualitative insights. 

  • Combine analytics (what happens), user interviews (why it happens), and observation (context in which it happens).
  • Understanding builds over time. A single study provides a snapshot; continuous engagement reveals the movie.
  • Use data to form theories, research to validate them, and real-world live testing to confirm understanding.
  • Different team members see different aspects. Engineers notice system issues, designers spot usability gaps, PMs identify market fit, researchers uncover needs.

Adding AI into the mix also emphasizes the need for human validation. While AI can help significantly speed up workflows and can augment human expertise, it still requires oversight and review from real people. 

AI can spot trends humans miss, processing millions of data points instantly but it can't understand human emotion, cultural context, or unspoken needs. It can summarize what users say but humans must interpret what they mean.

Understanding users has never been easier from a data perspective. We have tools our predecessors could only dream of.  But understanding users has never been harder from an empathy perspective. The sheer volume of data available to us creates an illusion of knowledge that's more dangerous than ignorance.

The teams succeeding aren't choosing between data and empathy, they're investing equally in both. They use analytics to spot patterns and conversations to understand meaning. They measure behavior and observe context. They quantify outcomes and qualify experiences.

Because at the end of the day, you can track every click, measure every metric, and analyze every behavior, but until you understand why, you're just collecting data, not creating understanding.

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1 min read

5 key areas for effective ResearchOPs

Simply put, ResearchOps is about making sure your research operations are robust, thought through and managed. 

Having systems and processes around your UX research and your team keep everyone (and everything) organized. Making user research projects quicker to get started and more streamlined to run. And robust sharing, socializing, and knowledge storage means that everyone can understand the research insights and findings and put these to use - across the organization. And even better, find these when they need them. 

Using the same tools across the team allows the research team to learn from each other, and previous research projects and be able to compare apples with apples, with everyone included. Bringing the team together across tools, research and results.

We go into more detail in our ebook ResearchOps Checklist about exactly what you can do to make sure your research team is running at its best. Let’s take a quick look at 5 way to ensure you have the grounding for a successful ResearchOps team.

1. Knowledge management 📚

What do you do with all of the insights and findings of a user research project? How do you store them, how do you manage the insights, and how do you share and socialize?

Having processes in place that manage this knowledge is important to the longevity of your research. From filing to sharing across platforms, it all needs to be standardized so everyone can search, find and share.

2. Guidelines and process templates 📝

Providing a framework for how to run research projects is are important. Building on the knowledge base from previous research can improve research efficiencies and cut down on groundwork and administration. Making research projects quicker and more streamlined to get underway.

3. Governance 🏛

User research is all about people, real people. It is incredibly important that any research be legal, safe, and ethical. Having effective governance covered is vital.

4. Tool stack 🛠

Every research team needs a ‘toolbox’ that they can use whenever they need to run card sorts, tree tests, usability tests, user interviews, and more. But which software and tools to use?

Making sure that the team is using the same tools also helps with future research projects, learning from previous projects, and ensuring that the information is owned and run by the organization (rather than whichever individuals prefer). Reduce logins and password shares, and improve security with organization-wide tools and platforms. 

5. Recruitment 👱🏻👩👩🏻👧🏽👧🏾

Key to great UX research is the ability to recruit quality participants - fast! Having strong processes in place for screening, scheduling, sampling, incentivizing, and managing participants needs to be top of the list when organizing the team.

Wrap Up 💥

Each of these ResearchOps processes are not independent of the other. And neither do they flow from one to the other. They are part of a total wrap around for the research team, creating processes, systems and tools that are built to serve the team. Allowing them to focus on the job of doing great research and generating insights and findings that develop the very best user experience. 

Afterall, we are creating user experiences that keep our users engaged and coming back. Why not look at the teams user experience and make the most of that. Freeing time and space to socialize and share the findings with the organization. 

Seeing is believing

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