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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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.

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Tips for recruiting quality research participants

If there’s one universal truth in user research, it’s that at some point you’re going to need to find people to actually take part in your studies. Be it a large number of participants for quantitative research or a select number for in-depth, in-person user interviews. Finding the right people (and number) of people can be a hurdle.

With the right strategy, you can source exactly the right participants for your next research project.

We share a practical step-by-step guide on how to find participants for user experience research.

The difficulties/challenges of user research recruiting 🏋️

It has to be acknowledged that there are challenges when recruiting research participants. You may recognize some of these:

  • There are so many channels and methods you can use to find participants, different channels will work better for different projects.
  • Repeatedly using the same channels and methods will result in diminishing returns (i.e. burning out participants).
  • It’s a lengthy and complex process, and some projects don’t have the luxury of time.
  • Offering the right incentives and distributing them is time-consuming.
  • It’s hard to manage participants during long-term or recurring studies, such as customer research projects.

We’ll simplify the process, talk about who the right participants are, and unpack some of the best ways to find them. Removing these blocks can be the easiest way to move forward.

Who are the right participants for different types of research? 🤔

1. The first step to a successful participant recruitment strategy is clarifying the goals of your user research and which methods you intend to use. Ask yourself:

  • What is the purpose of our research?
  • How do we plan to understand that?

2. Define who your ideal research participant is. Who is going to have the answers to your questions?

3. Work out your research recruitment strategy. That starts by understanding the differences between recruiting for qualitative and quantitative research.

Recruiting for qualitative vs. quantitative research 🙋🏻

Quantitative research recruiting is a numbers game. For your data analysis to be meaningful and statistically significant, you need a lot of data. This means you need to do a lot of research with a lot of people. When recruiting for quantitative research, you first have to define the population (the entire group you want to study). From there, you choose a sampling method that allows you to create a sample—a randomly selected subset of the population who will participate in your study.

Qualitative recruiting involves far fewer participants, but you do need to find a selection of ‘perfect’ participants. Those that fit neatly into your specific demographic, geographic, psychographic, and behavioral criteria relevant to your study. Recruiting quality participants for qualitative studies involves non-random sampling, screening, and plenty of communication.

How many participants do you need? 👱🏻👩👩🏻👧🏽👧🏾

How many participants to include in a qualitative research study is one of the most heavily discussed topics in user research circles. In most cases, you can get away with 5 people – that’s the short answer. With 5 people, you’ll uncover most of the main issues with the thing you’re testing. Depending on your research project there could be as many as 50 participants, but with each additional person, there is an additional cost (money and time).

Quantitative research is obviously quite different. With studies like card sorts and tree tests, you need higher participant numbers to get statistically meaningful results. Anywhere from 20 - 500 participants, again coming back to the purpose of your test and your research budget. These are usually easier and quicker to implement therefore the additional cost is lower.

User research recruitment - step by step 👟

Let’s get into your research recruitment strategy to find the best participants for your research project. There are 5 clear steps to get you through to the research stage:

1. Identify your ideal participants

Who are they? What do they do? How old are they? Do they already use your product? Where do they live? These are all great questions to get you thinking about who exactly you need to answer your research questions. The demographic and geographic detail of your participants are important to the quality of your research results.

2. Screen participants

Screening participants will weed out those that may not be suitable for your specific project. This can be as simple as asking if the participants have used a product similar to yours. Or coming back to your key identified demographic requirements and removing anyone that doesn’t fit these criteria.

3. Find prospective participants

This is important and can be time-consuming. For qualitative research projects, you can look within your organization or ask over social media for willing participants. Or if you’re short on time look at a participant recruitment service, which takes your requirements and has a catalog of available persons to call on. There’s a cost involved, but the time saving can negate this. For qualitative surveys, a great option can be a live intercept on your website or app that interrupts users and asks them to complete a short questionnaire.

4. Research incentives

In some cases you will need to provide incentives. This could be offering a prize or discount for those who complete online qualitative surveys. Or a fixed sum for those that take part in longer format quantitative studies.

5. Scheduling with participants

Once you have waded through the emails, options, and communication from your inquiries make a list of appropriate participants. Schedule time to do the research, either in person or remotely. Be clear about expectations and how long it will take. And what the incentive to take part is.

Tips to avoid participant burnout 📛

You’ve got your participants sorted and have a great pool of people to call on. If you keep hitting the same group of people time and time again, you will experience the law of diminishing returns. Constantly returning to the same pool of participants will eventually lead to fatigue. And this will impact the quality of your research because it’s based on interviewing the same people with the same views.

There are 2 ways to avoid this problem:

  1. Use a huge database of potential participant targets.
  2. Use a mixture of different recruitment strategies and channels.

Of course, it might be unavoidable to hit the same audience repeatedly when you’re testing your product development among your customer base.

Wrap up 🌯

Understanding your UX research recruitment strategy is crucial to recruiting quality participants. A clear idea of your purpose, who your ideal participants are, and how to find them takes time and experience. 

And to make life easier you can always leave your participant recruitment with us. With a huge catalog of quality participants all at your fingertips on our app, we can recruit the right people quickly.

Check out more here.

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1 min read

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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