Qualitative
Quantitative
Attitudinal
Generative
Evaluative
Qualitative
Generative
Attitudinal
Quantitative
Behavioral
Evaluative
Qualitative Behavioral
Evaluative
Quantitative
Evaluative
Qualitative
Generative
Tl;dr: user interviews.
Directly ask users about their experiences with a product to understand their thoughts, feelings, and problems
✅ Provides detailed insights that survey may miss ❌ May not represent the wider user base; depends on user’s memory and honesty
User interviews are a qualitative research method that involves having open-ended and guided discussions with users to gather in-depth insights about their experiences, needs, motivations, and behaviors.
Typically, you would ask a few questions on a specific topic during a user interview and analyze participants' answers. The results you get will depend on how well you form and ask questions, as well as follow up on participants’ answers.
“As a researcher, it's our responsibility to drive the user to their actual problems,” says Yuliya Martinavichene , User Experience Researcher at Zinio. She adds, “The narration of incidents can help you analyze a lot of hidden details with regard to user behavior.”
That’s why you should:
Tanya Nativ , Design Researcher at Sketch recommends defining the goals and assumptions internally. “Our beliefs about our users’ behavior really help to structure good questions and get to the root of the problem and its solution,” she explains.
It's easy to be misunderstood if you don't have experience writing interview questions. You can get someone to review them for you or use our Question Bank of 350+ research questions .
This method is typically used at the start and end of your project. At the start of a project, you can establish a strong understanding of your target users, their perspectives, and the context in which they’ll interact with your product. By the end of your project, new user interviews—often with a different set of individuals—offer a litmus test for your product's usability and appeal, providing firsthand accounts of experiences, perceived strengths, and potential areas for refinement.
Tl;dr: field studies.
Observe users in their natural environment to inform design decisions with real-world context
✅ Provides contextual insights into user behavior in real-world situations ✅ Helps identify external factors and conditions that influence user experience ❌ Can be time-consuming and resource-intensive to conduct ❌ Participants may behave differently when they know they are being observed (Hawthorne effect)
Field studies—also known as ethnographic research—are research activities that take place in the user’s environment rather than in your lab or office. They’re a great method for uncovering context, unknown motivations, or constraints that affect the user experience.
An advantage of field studies is observing people in their natural environment, giving you a glimpse at the context in which your product is used. It’s useful to understand the context in which users complete tasks, learn about their needs, and collect in-depth user stories.
This method can be used at all stages of your project—two key times you may want to conduct field studies are:
Tl;dr: focus groups.
Gather qualitative data from a group of users discussing their experiences and opinions about a product
✅ Allows for diverse perspectives to be shared and discussed ❌ Group dynamics may influence individual opinions
A focus group is a qualitative research method that includes the study of a group of people, their beliefs, and opinions. It’s typically used for market research or gathering feedback on products and messaging.
Focus groups can help you better grasp:
As with any qualitative research method, the quality of the data collected through focus groups is only as robust as the preparation. So, it’s important to prepare a UX research plan you can refer to during the discussion.
Here’s some things to consider:
It’s easier to use this research technique when you're still formulating your concept, product, or service—to explore user preferences, gather initial reactions, and generate ideas. This is because, in the early stages, you have flexibility and can make significant changes without incurring high costs.
Another way some researchers employ focus groups is post-launch to gather feedback and identify potential improvements. However, you can also use other methods here which may be more effective for identifying usability issues. For example, a platform like Maze can provide detailed, actionable data about how users interact with your product. These quantitative results are a great accompaniment to the qualitative data gathered from your focus group.
Tl;dr: diary studies.
Get deep insights into user thoughts and feelings by having them keep a product-related diary over a set period of time, typically a couple of weeks
✅ Gives you a peak into how users interact with your product in their day-to-day ❌ Depends on how motivated and dedicated the users are
Diary studies involve asking users to track their usage and thoughts on your product by keeping logs or diaries, taking photos, explaining their activities, and highlighting things that stood out to them.
“Diary studies are one of the few ways you can get a peek into how users interact with our product in a real-world scenario,” says Tanya.
A diary study helps you tell the story of how products and services fit into people’s daily lives, and the touch-points and channels they choose to complete their tasks.
There’s several key questions to consider before conducting diary research, from what kind of diary you want—freeform or structured, and digital or paper—to how often you want participants to log their thoughts.
Remember to determine the trigger: a signal that lets the participants know when they should log their feedback. Tanya breaks these triggers down into the following:
Diary studies are often valuable when you need to deeply understand users' behaviors, routines, and pain points in real-life contexts. This could be when you're:
Collect quantitative data from a large sample of users about their experiences, preferences, and satisfaction with a product
✅ Provides a broad overview of user opinions and trends ❌ May lack in-depth insights and context behind user responses
Although surveys are primarily used for quantitative research, they can also provided qualitative data, depending on whether you use closed or open-ended questions:
Matthieu Dixte , Product Researcher at Maze, explains the benefit of surveys: “With open-ended questions, researchers get insight into respondents' opinions, experiences, and explanations in their own words. This helps explore nuances that quantitative data alone may not capture.”
So, how do you make sure you’re asking the right survey questions? Gregg Bernstein , UX Researcher at Signal, says that when planning online surveys, it’s best to avoid questions that begin with “How likely are you to…?” Instead, Gregg says asking questions that start with “Have you ever… ?” will prompt users to give more specific and measurable answers.
Make sure your questions:
To learn more about survey design, check out this guide .
While surveys can be used at all stages of project development, and are ideal for continuous product discovery , the specific timing and purpose may vary depending on the research goals. For example, you can run surveys at:
Tl;dr: card sorting.
Understand how users categorize and prioritize information within a product or service to structure your information in line with user expectations
✅ Helps create intuitive information architecture and navigation ❌ May not accurately reflect real-world user behavior and decision-making
Card sorting is an important step in creating an intuitive information architecture (IA) and user experience. It’s also a great technique to generate ideas, naming conventions, or simply see how users understand topics.
In this UX research method, participants are presented with cards featuring different topics or information, and tasked with grouping the cards into categories that make sense to them.
There are three types of card sorting:
Card sorting type comparison table
You can run a card sorting session using physical index cards or digitally with a UX research tool like Maze to simulate the drag-and-drop activity of dividing cards into groups. Running digital card sorting is ideal for any type of card sort, and moderated or unmoderated sessions .
Read more about card sorting and learn how to run a card sorting session here .
Card sorting isn’t limited to a single stage of design or development—it can be employed anytime you need to explore how users categorize or perceive information. For example, you may want to use card sorting if you need to:
Tl;dr: tree testing.
Evaluate the findability of existing information within a product's hierarchical structure or navigation
✅ Identifies potential issues in the information architecture ❌ Focuses on navigation structure, not visual design or content
During tree testing a text-only version of the site is given to your participants, who are asked to complete a series of tasks requiring them to locate items on the app or website.
The data collected from a tree test helps you understand where users intuitively navigate first, and is an effective way to assess the findability, labeling, and information architecture of a product.
We recommend keeping these sessions short, ranging from 15 to 20 minutes, and asking participants to complete no more than ten tasks. This helps ensure participants remain focused and engaged, leading to more reliable and accurate data, and avoiding fatigue.
If you’re using a platform like Maze to run remote testing, you can easily recruit participants based on various demographic filters, including industry and country. This way, you can uncover a broader range of user preferences, ensuring a more comprehensive understanding of your target audience.
To learn more about tree testing, check out this chapter .
Tree testing is often done at an early stage in the design or redesign process. That’s because it’s more cost-effective to address errors at the start of a project—rather than making changes later in the development process or after launch.
However, it can be helpful to employ tree testing as a method when adding new features, particularly alongside card sorting.
While tree testing and card sorting can both help you with categorizing the content on a website, it’s important to note that they each approach this from a different angle and are used at different stages during the research process. Ideally, you should use the two in tandem: card sorting is recommended when defining and testing a new website architecture, while tree testing is meant to help you test how the navigation performs with users.
Tl;dr: usability testing.
Observe users completing specific tasks with a product to identify usability issues and potential improvements
✅ Provides direct insights into user behavior and reveals pain points ❌ Conducted in a controlled environment, may not fully represent real-world usage
Usability testing evaluates your product with people by getting them to complete tasks while you observe and note their interactions (either during or after the test). The goal of conducting usability testing is to understand if your design is intuitive and easy to use. A sign of success is if users can easily accomplish their goals and complete tasks with your product.
There are various usability testing methods that you can use, such as moderated vs. unmoderated or qualitative vs. quantitative —and selecting the right one depends on your research goals, resources, and timeline.
Usability testing is usually performed with functional mid or hi-fi prototypes . If you have a Figma, InVision, Sketch, or prototype ready, you can import it into a platform like Maze and start testing your design with users immediately.
The tasks you create for usability tests should be:
Be mindful of using leading words such as ‘click here’ or ‘go to that page’ in your tasks. These instructions bias the results by helping users complete their tasks—something that doesn’t happen in real life.
With Maze, you can test your prototype and live website with real users to filter out cognitive biases, and gather actionable insights that fuel product decisions.
To inform your design decisions, you should do usability testing early and often in the process . Here are some guidelines to help you decide when to do usability testing:
To learn more about usability testing, check out our complete guide to usability testing .
Tl;dr: five-second testing.
Gauge users' first impressions and understanding of a design or layout
✅ Provides insights into the instant clarity and effectiveness of visual communication ❌ Limited to first impressions, does not assess full user experience or interaction
In five-second testing , participants are (unsurprisingly) given five seconds to view an image like a design or web page, and then they’re asked questions about the design to gauge their first impressions.
Why five seconds? According to data , 55% of visitors spend less than 15 seconds on a website, so it;s essential to grab someone’s attention in the first few seconds of their visit. With a five-second test, you can quickly determine what information users perceive and their impressions during the first five seconds of viewing a design.
And if you’re using Maze, you can simply upload an image of the screen you want to test, or browse your prototype and select a screen. Plus, you can star individual comments and automatically add them to your report to share with stakeholders.
Five-second testing is typically conducted in the early stages of the design process, specifically during initial concept testing or prototype development. This way, you can evaluate your design's initial impact and make early refinements or adjustments to ensure its effectiveness, before putting design to development.
To learn more, check out our chapter on five-second testing .
Tl;dr: a/b testing.
Compare two versions of a design or feature to determine which performs better based on user engagement
✅ Provides data-driven insights to guide design decisions and optimize user experience ❌ Requires a large sample size and may not account for long-term effects or complex interactions
A/B testing , also known as split testing, compares two or more versions of a webpage, interface, or feature to determine which performs better regarding engagement, conversions, or other predefined metrics.
It involves randomly dividing users into different groups and giving each group a different version of the design element being tested. For example, let's say the primary call-to-action on the page is a button that says ‘buy now’.
You're considering making changes to its design to see if it can lead to higher conversions, so you create two versions:
Over a planned period, you measure metrics like click-through rates, add-to-cart rates, and actual purchases to assess the performance of each variation. You find that Group B had significantly higher click-through and conversion rates than Group A. This indicates that showing the button above the product description drove higher user engagement and conversions.
Check out our A/B testing guide for more in-depth examples and guidance on how to run these tests.
A/B testing can be used at all stages of the design and development process—whenever you want to collect direct, quantitative data and confirm a suspicion, or settle a design debate. This iterative testing approach allows you to continually improve your website's performance and user experience based on data-driven insights.
Tl;dr: concept testing.
Evaluate users' reception and understanding of a new product, feature, or design idea before moving on to development
✅ Helps validate and refine concepts based on user feedback ❌ Relies on users' perception and imagination, may not reflect actual use
Concept testing is a type of research that evaluates the feasibility, appeal, and potential success of a new product before you build it. It centers the user in the ideation process, using UX research methods like A/B testing, surveys, and customer interviews.
There’s no one way to run a concept test—you can opt for concept testing surveys, interviews, focus groups, or any other method that gets qualitative data on your concept.
*Dive into our complete guide to concept testing for more tips and tricks on getting started. *
Concept testing helps gauge your audience’s interest, understanding, and likelihood-to-purchase, before committing time and resources to a concept. However, it can also be useful further down the product development line—such as when defining marketing messaging or just before launching.
The best research type varies depending on your project; what your objectives are, and what stage you’re in. Ultimately, the ideal type of research is one which provides the insights required, using the available resources.
For example, if you're at the early ideation or product discovery stage, generative research methods can help you generate new ideas, understand user needs, and explore possibilities. As you move to the design and development phase, evaluative research methods and quantitative data become crucial.
Discover the UX research trends shaping the future of the industry and why the best results come from a combination of different research methods.
In an ideal world, a combination of all the insights you gain from multiple types of user research methods would guide every design decision. In practice, this can be hard to execute due to resources.
Sometimes the right methodology is the one you can get buy-in, budget, and time for.
Gregg Bernstein , UX Researcher at Signal
UX research tools can help streamline the research process, making regular testing and application of diverse methods more accessible—so you always keep the user at the center of your design process. Some other key tips to remember when choosing your method are:
A good way to inform your choice of user experience research method is to start by considering your goals. You might want to browse UX research templates or read about examples of research.
Michael Margolis , UX Research Partner at Google Ventures, recommends answering questions like:
If your team is very early in product development, generative research —like field studies—make sense. If you need to test design mockups or a prototype, evaluative research methods—such as usability testing—will work best.
This is something they’re big on at Sketch, as we heard from Design Researcher, Tanya Nativ. She says, “In the discovery phase, we focus on user interviews and contextual inquiries. The testing phase is more about dogfooding, concept testing, and usability testing. Once a feature has been launched, it’s about ongoing listening.”
If you're looking for rich, qualitative data that delves into user behaviors, motivations, and emotions, then methods like user interviews or field studies are ideal. They’ll help you uncover the ‘why’ behind user actions.
On the other hand, if you need to gather quantitative data to measure user satisfaction or compare different design variations, methods like surveys or A/B testing are more suitable. These methods will help you get hard numbers and concrete data on preferences and behavior.
*Discover the UX research trends shaping the future of the industry and why the best results come from a combination of different research methods. *
Think of UX research methods as building blocks that work together to create a well-rounded understanding of your users. Each method brings its own unique strengths, whether it's human empathy from user interviews or the vast data from surveys.
But it's not just about choosing the right UX research methods; the research platform you use is equally important. You need a platform that empowers your team to collect data, analyze, and collaborate seamlessly.
Simplifying product research is simple with Maze. From tree testing to card sorting, prototype testing to user interview analysis—Maze makes getting actionable insights easy, whatever method you opt for.
Meanwhile, if you want to know more about testing methods, head on to the next chapter all about tree testing .
Conduct impactful UX research with Maze and improve your product experience and customer satisfaction.
How do you choose the right UX research method?
Choosing the right research method depends on your goals. Some key things to consider are:
What is the best UX research method?
The best research method is the one you have the time, resources, and budget for that meets your specific needs and goals. Most research tools, like Maze, will accommodate a variety of UX research and testing techniques.
When to use which user experience research method?
Selecting which user research method to use—if budget and resources aren’t a factor—depends on your goals. UX research methods provide different types of data:
Identify your goals, then choose a research method that gathers the user data you need.
What results can I expect from UX research?
Here are some of the key results you can expect from actioning the insights uncovered during UX research:
Tree Testing: Your Guide to Improve Navigation and UX
UX Research Cheat Sheet
February 12, 2017 2017-02-12
User-experience research methods are great at producing data and insights, while ongoing activities help get the right things done. Alongside R&D, ongoing UX activities can make everyone’s efforts more effective and valuable. At every stage in the design process, different UX methods can keep product-development efforts on the right track, in agreement with true user needs and not imaginary ones.
When to conduct user research.
One of the questions we get the most is, “When should I do user research on my project?” There are three different answers:
The chart below describes UX methods and activities available in various project stages.
Each project is different, so the stages are not always neatly compartmentalized. The end of one cycle is the beginning of the next.
The important thing is not to execute a giant list of activities in rigid order, but to start somewhere and learn more and more as you go along.
• Field study • Diary study • User interview • Stakeholder interview • Requirements & constraints gathering | |
• Competitive analysis • Design review • Persona building • Task analysis • Journey mapping • Prototype feedback & testing (clickable or paper prototypes) • Write user stories • Card sorting | |
• Qualitative usability testing (in-person or remote) • Benchmark testing • Accessibility evaluation | |
• Survey • Analytics review • Search-log analysis • Usability-bug review • Frequently-asked-questions (FAQ) review |
When deciding where to start or what to focus on first, use some of these top UX methods. Some methods may be more appropriate than others, depending on time constraints, system maturity, type of product or service, and the current top concerns. It’s a good idea to use different or alternating methods each product cycle because they are aimed at different goals and types of insight. The chart below shows how often UX practitioners reported engaging in these methods in our survey on UX careers.
If you can do only one activity and aim to improve an existing system, do qualitative (think-aloud) usability testing , which is the most effective method to improve usability . If you are unable to test with users, analyze as much user data as you can. Data (obtained, for instance, from call logs, searches, or analytics) is not a great substitute for people, however, because data usually tells you what , but you often need to know why . So use the questions your data brings up to continue to push for usability testing.
The discovery stage is when you try to illuminate what you don’t know and better understand what people need. It’s especially important to do discovery activities before making a new product or feature, so you can find out whether it makes sense to do the project at all .
An important goal at this stage is to validate and discard assumptions, and then bring the data and insights to the team. Ideally this research should be done before effort is wasted on building the wrong things or on building things for the wrong people, but it can also be used to get back on track when you’re working with an existing product or service.
Good things to do during discovery:
Exploration methods are for understanding the problem space and design scope and addressing user needs appropriately.
Testing and validation methods are for checking designs during development and beyond, to make sure systems work well for the people who use them.
Listen throughout the research and design cycle to help understand existing problems and to look for new issues. Analyze gathered data and monitor incoming information for patterns and trends.
Ongoing and strategic activities can help you get ahead of problems and make systemic improvements.
Use this cheat-sheet to choose appropriate UX methods and activities for your projects and to get the most out of those efforts. It’s not necessary to do everything on every project, but it’s often helpful to use a mix of methods and tend to some ongoing needs during each iteration.
Related courses, discovery: building the right thing.
Conduct successful discovery phases to ensure you build the best solution
Pick the best UX research method for each stage in the design process
Create, maintain, and utilize personas throughout the UX design process
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Have you ever noticed how your favorite applications and websites appear to read your mind? How do they smoothly anticipate your wants and make you feel like a tech-savvy superhero? It isn’t magic; it is the result of User Experience Research!
UX research is a dynamic and ongoing process that is essential in developing effective and user-friendly products or services. It fills the gap between user expectations and design decisions, resulting in higher product satisfaction and better business-related results.
Continue reading to learn more about user experience research, how to do it, and how researchers may use it.
User Experience research or UX research is defined as users’ systematic study to discover behaviors, needs, motivations, and trends through observations, analysis, and other user feedback.
UX researchers use different methods to understand problems and draw opportunities to stand out amongst their competition. Organizations conduct UX research to precisely understand how real customers react to the products or services in the real world.
We can divide UX research into two dimensions depending on the product type, its environment, the research size, and your timelines. Let’s look at both measurements.
Quantitative research is the study of a population through the use of surveys and questionnaires. Quantitative research helps to generalize findings and understand what a specific population likes and dislikes. This data collection technique is generally mathematical in nature.
Qualitative research helps researchers gather information by observing users in field studies or focus groups. Qualitative research brings sense to the motivations and reasons for consumer behavior. The users are generally in small numbers belonging to diverse backgrounds and help answer the ‘how’ and ‘why’ questions about consumer behavior.
LEARN ABOUT: Qualitative Research Questions and Questionnaires
“Attitudinal research” applies to what users say, while “behavioral” applies to what they really do. What users and customers usually say and what they do are sometimes pretty different. Researchers often conduct attitudinal research to measure customers’ needs and beliefs.
However, researchers lean towards behavioral research for insights as data on what users tend to do is more relevant. Website A/B testing is an excellent example of behavioral research because it gives researchers critical insights into how users perceive and act on different versions of the same site.
Conducting user experience research is a structured procedure that helps discover significant insights for improving the user experience. Here are the five steps to conducting user experience research:
Always define the goals of your research before you act. Understand what you want to discover about your customers and their requirements.
By defining the objectives of your study, you can set the foundation for targeted and purposeful studies. Your goals should include a thorough understanding of your clients and their individual needs. This first stage acts as a compass to ensure that your research efforts are focused on measurable outcomes.
Set a hypothesis on what you feel you know about the users. This hypothesis serves as a preliminary assumption, a starting point that you will test and modify during the study process. A well-crafted hypothesis helps guide your research efforts and serves as the foundation for structured inquiry.
Choosing the best research techniques is similar to choosing the right tools for a job. The method you’ll adopt is heavily influenced by factors such as project kind, available resources, research team size, and deadlines.
Whether you use surveys, interviews, usability testing, or a combination of methodologies, the goal is to customize your options to the specific context of your research, assuring effective data collecting and insight development.
Conduct research using the research method(s) you chose and start collecting user data about their preferences, likes, dislikes, and needs. Conducting user experience research involves actively engaging with your target users and collecting valuable data.
This step entails creating surveys, setting up usability testing, conducting user interviews, or deploying any other chosen methodologies. UX researchers use a number of user research methods to conduct UX research. By directly interacting with users, you gain firsthand insights into user behaviors, preferences, and pain points.
Compiling and synthesizing the feedback is critical as data from your research activity comes in. This involves thoroughly examining user data and discovering trends, patterns, and variations. Collect and analyze the user-feedback data to fill in your knowledge gaps. Use this knowledge to improve and enhance your offering.
You can develop and improve your offers based on actual consumer demands by using synthesized feedback as a source of insights to direct your decision-making.
UX research is a comprehensive toolkit for researchers. It allows them to navigate different stages of design and development while uncovering a variety of user insights. Researchers use UX research for the following:
Discovery means understanding what the users find relevant. Researchers either interview the user in their environment or ask them to maintain a record of their daily interaction with a design. Researchers look for insights into user habits, needs, and preferences during this phase.
UX researchers may conduct interviews with users in their natural surroundings or ask them to keep a record of their everyday experiences with a specific design to do this. Researchers can better empathize with users’ experiences and discover insights that help drive the design process by immersing themselves in their reality.
Exploration involves investigating many options and solutions to meet the different requirements of customers. During this phase, researchers look at possibilities to address the needs of all users. Card sorting is one of the interactive UX research methods to understand precisely what people like and dislike.
This interaction method helps researchers better understand users’ mental models and how they expect information to be organized. By investigating these preferences, UX designers may create interfaces and structures that fit customers’ needs, resulting in more intuitive and user-friendly designs.
Usability Testing is an important stage in the UX research process because it allows designs and prototypes to be thoroughly tested. Testing helps you evaluate the design process thoroughly. UX researchers evaluate the product’s usability, functionality, and overall experience.
Usability testing involves observing real users interact with a prototype, product, or service. A UX researcher can modify the design and make informed decisions to produce a more seamless user experience by identifying pain points, problems, and places of misunderstanding. Companies test products to ensure they’re easy to use and accessible to everyone.
Listening to user feedback and viewpoints is essential for getting insights and putting design issues into context. Listening assists UX researchers in putting issues in perspective. It helps them find unseen problems to fix quickly.
Surveys and Questionnaires are useful tools that help researchers track user feelings. UX researchers can frequently seek user feedback via surveys, questionnaires, and feedback sessions. This method enables researchers to measure user sentiments, identify potential problems that may not be obvious at first, and fix them as soon as possible.
The benefits of conducting UX research are numerous, contributing to both product quality and business success. Here’s a closer look at the main benefits of incorporating UX research into your design and development processes:
Involving your potential customers directly helps you gain a lot of knowledge on what the customers prefer, what their pain points are, and what will help the overall improvement of the product.
UX research helps you collect unbiased feedback directly from your customers – your most reliable feedback source. It is the best actionable feedback source because it is not influenced by company leaders, investors, or other outsiders.
Understanding what your customers seek helps organizations spend less money and time correcting flawed designs. It helps to speed up the product development process and boosts customer satisfaction.
User Experience research is an ongoing process. It connects user expectations and design decisions to create seamless product experiences. It discovers user behaviors and preferences using approaches such as quantitative and qualitative research, as well as attitudinal and behavioral insights.
QuestionPro research enables you to effectively develop, distribute, and analyze surveys, acquire useful insights, and make data-driven decisions across a wide range of research areas. It speeds up the research process, increases user interaction, and ultimately helps you better understand your target audience and improve your products or services.
Looking to deliver an exceptional customer experience? Discover more about how to delight your customer at every touchpoint and turn them into brand advocates.
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How we think of and practice UX ( user experience ) research has evolved rapidly in recent years. What was once a specialized discipline is now viewed as something everyone in an organization can (and should) participate in. As a result, the definition of UX research is also changing. Whether you’re a UX veteran or newly introduced to the concept, user experience research is evolving and branching out.
As UX research becomes more commonplace in organizations big and small, its definitions and applications have naturally evolved. Traditionally, user experience research is the practice of studying user interactions to help with the design of people-first products and experiences.
Nonetheless, the meaning of UX can vary depending on who you’re talking to. For product teams, UX research might mean validating prototypes and concepts, and for marketing teams, it may mean testing brand designs and messaging before a launch. Each team's UX research deliverables will vary, too. In other words, UX research is no longer a practice held in one corner of the business. The most successful organizations empower all teams to collect user and customer insights in order to make better business decisions.
Before we jump into individual research methods, or the tactics used for conducting UX research, there are big-picture questions that need to be addressed first. And that’s: what types of UX research are there?
When it comes to understanding your users, you may find yourself wondering if your UX research approach should be qualitative or quantitative . And it’s important to figure that out because the two types uncover very different insights.
To get a full picture of your user experience, you need to understand both what’s happening and why. If you only have quantitative data, you may be missing out on key insights that could make a difference in your understanding of the user experience. And if you only do qualitative research, you won’t be able to tell whether your findings are representative of a larger population.
Quantitative research provides the hard numbers that can highlight patterns and trends in user behavior. This method relies on statistical data to quantify behaviors, opinions, and attitudes. Tools such as surveys , usage statistics, and A/B testing can offer valuable metrics that show what users are doing, how many are doing it, and under what conditions these actions occur.
For instance, quantitative methods can determine the number of users who abandon a shopping cart before completing a purchase, or they can measure how a new feature affects user engagement. These insights are crucial for making data-driven decisions that enhance user interfaces and streamline user interactions.
On the flip side, qualitative research dives deeper into the motivations behind user actions, filling in the narrative gaps left by quantitative data. Through techniques such as interviews , focus groups , and ethnographic studies , qualitative research explores the underlying reasons for user behaviors, providing context to the numbers.
This method is especially useful when you need to understand the nuances of user satisfaction, discover pain points, and gather detailed feedback about user experiences. It helps to paint a vivid picture of why certain features are loved or disliked, and it can reveal how users emotionally connect with your product.
The most effective UX research strategy employs both qualitative and quantitative research to create a comprehensive understanding of user experiences. By integrating these approaches, you can both quantify user behavior and understand the motivations behind it.
Starting with quantitative data to identify areas of interest or concern, you can then apply qualitative research to explore those areas more deeply. This combination allows you to not only validate broad patterns found in the data but also to explore the rich, personal insights that give these patterns meaning.
By balancing quantitative and qualitative research, you achieve a more complete view of the user experience. Quantitative data gives you the necessary breadth to make generalizable conclusions, while qualitative data brings depth and color to those conclusions, providing a clearer direction for actionable improvements. Together, they enable a holistic approach to UX research that aligns business strategies with genuine user needs.
Though sometimes misconstrued as being the same thing, attitudinal and behavioral research are not synonymous. However, as with quantitative and qualitative research, the two can be useful when assessed concurrently.
Attitudinal research involves the assessment of users’ preconceived attitudes or feelings toward an experience. For example, this could involve asking a user why they like or dislike a feature on your site prior to using it. In contrast, behavioral research is focused on what the user does.
Drawing another parallel to the distinction between quantitative and qualitative methods, behavioral research will tell you what’s happening, while attitudinal research helps to provide the reason why it’s happening. Always keep in mind that what users say and what users do are often different
Behavioral research is grounded in the observation of user behavior as they interact with a product. This method tracks what users actually do, not just what they say they do. By analyzing actions such as clicks, navigation paths, and interaction patterns, behavioral research uncovers how user behavior aligns—or doesn’t—with expected or intended use cases.
For instance, behavioral analytics can reveal if users find and use a new feature, or if they encounter issues completing tasks, allowing teams to objectively measure user engagement and identify problematic areas of a design.
Conversely, attitudinal research delves into the why behind user actions by exploring their attitudes, preferences, and feelings. This type of research typically involves direct feedback from users through methods like surveys, interviews, or sentiment analysis, providing insights into their satisfaction, preferences, and perceptions.
Attitudinal research can explain why a feature that performs well behaviorally might receive negative feedback, or why users request changes to elements that appear to function perfectly well from a behavioral standpoint.
To fully understand user experience, it’s beneficial to combine both attitudinal and behavioral research. While behavioral data shows what users are doing, attitudinal data explains why they are doing it. For example, if behavioral data shows an increase in usage of a particular feature, but attitudinal data reveals that users feel frustrated or confused while using it, there may be deeper issues that need addressing.
By assessing both what users do and how they feel about their interactions, you can gain a comprehensive understanding of user experience, leading to more informed decision-making and better product development.
While attitudinal research provides context and understanding of user feelings and perceptions, behavioral research offers concrete data on user actions. Together, they provide a holistic view of the user experience, enabling UX researchers and designers to create more user-centric products that are not only functionally effective but also emotionally resonant.
The goals of generative and evaluation research (sometimes referred to as evaluative research) are very different. Generative research helps you define the problem you’d like to design a solution for. Evaluation research, on the other hand, helps you evaluate an existing design (in prototype, final, or some other form).
Generative research, sometimes known as discovery research, is fundamentally about defining the problem space before attempting to design solutions. This type of research is exploratory in nature, aimed at uncovering the deep needs, desires, and behaviors of users that are not yet fully understood. It helps paint a broad picture of the context in which a product will be used and the potential challenges and opportunities that exist within that context.
Methodologies often employed in generative research include:
Generative research is crucial in the early stages of product development when teams are tasked with defining the 'what' and 'why'—what needs to be built and why it is important. This research feeds the creative process with valuable insights that guide the design and innovation of new products.
Once a prototype or product iteration has been developed, evaluative research comes into play. This type of research assesses how well a product or feature performs against the intended user needs and business goals. It is more structured and tends to be quantitative, although qualitative methods can also be used to gain deeper insights.
Common evaluative research techniques include:
Evaluative research is critical for refining and validating the design, ensuring that it not only meets the initial design specifications but also resonates with users and meets their needs effectively. It helps teams iterate on design solutions, making informed adjustments based on user feedback and behavior.
While generative research is ideal for identifying new opportunities and understanding user needs, evaluative research is essential for testing and refining those ideas against real-world applications. The integration of both research types allows teams to create products that are both innovative and effective, ensuring that they not only meet the creative vision but also perform well in practical use.
By understanding the distinct roles of generative and evaluative research, teams can better plan their UX research activities to support all phases of the product development lifecycle—from conception to launch and beyond.
UX needs to be a strategic initiative that drives a culture of user-centric design and thinking—informing everything from the product itself to marketing campaigns and messaging to brand design and social media. There's a variety of UX research tools and user research techniques that help teams collect the insights needed specific for every role.
Let’s take a look at some of the more common methods now.
It might be obvious that remote usability testing is a great method for conducting UX research—if only by its name alone. This method of remote research uses an insight platform to record the screen (and voice, depending on the software you choose) of test participants as they interact with your product or experience in their natural environment—at home, in their office, or a specific location.
Through usability testing , designers, product managers, and researchers alike can uncover and understand how real people respond to products and experiences. From what they like and dislike, to where they get stuck and confused, to areas of improvement, the valuable insights gathered from these tests are eye-opening.
Diary studies are a form of longitudinal research (research that takes place over a long period with the same participants). Typically, users self-report their activities at regular intervals to create a log of their activities, thoughts, and frustrations. It’s a useful approach for capturing organic feedback on activities that are repetitive, long, or unpredictable.
Optimal scenarios for diary studies: Diary studies are most beneficial when exploring behaviors or experiences that unfold over longer periods. They are ideal for:
These studies provide a depth of insight that snapshots from brief interactions simply cannot match, offering a richer, more contextual understanding of the user journey.
Considerations:
Preparation and participant engagement: Successful diary studies begin with thoughtful planning and careful participant selection. Maintaining flexible demographics and providing clear, comprehensive instructions are crucial to participant retention and data quality. Adequately compensating participants for their time is also essential given the extended nature of their involvement.
Instruction clarity: Participants should receive explicit instructions detailing the frequency and type of diary entries required, whether textual, visual, or both, and any specific focus areas or questions to address.
Pilot and iterate: Piloting the study with a few participants can help identify any issues with the study design and instructions, ensuring everything is clear and the study is set up for success.
Initial interviews: Starting with an in-depth interview can help set clear expectations, build rapport, and encourage thorough participation throughout the study period.
Concluding interviews: Post-study interviews allow for deeper exploration of diary entries, helping clarify ambiguities and delve deeper into significant findings.
Integrating with other research methods: While powerful on their own, diary studies can be even more informative when combined with other research methods, such as surveys or usability tests, to build a comprehensive picture of the user experience over time.
In essence, diary studies offer a unique lens through which to view the user experience, capturing the ebb and flow of daily life and its impact on product engagement and satisfaction.
Card sorting is a qualitative research method used to group, label, and describe information more effectively—based on feedback from customers or users. Card sorting requires you to create a set of cards—sometimes literally—to represent a concept or item. These cards will then be grouped or categorized by your users in ways that make the most sense to them. Most commonly, it’s used when designing (or redesigning) the navigation of a website or the organization of content within it, because it helps to evaluate information architecture.
It may seem obvious, but through a series of expertly-phrased and positioned questions, surveys allow you to empathize with your users in order to gain quantitative insights that aren’t as visible to developers, managers, and marketers. Listening to your customer can help you find new problems to solve or devise new ideas, and collecting customer feedback through surveys is an active, receptive, and honest way to do it.
Key considerations for survey design:
Feedback is essentially a dialogue between you and your customers. It helps you understand their needs, preferences, and pain points. Continuous feedback throughout the product development cycle allows you to make iterative improvements, ensuring that the final product resonates well with your users. Real-time insights from surveys can guide your decision-making process, helping you solve the right problems and innovate effectively.
Immediate and long-term benefits:
While surveys provide valuable quantitative data, integrating these findings with qualitative research, such as interviews or observational studies, can enrich your understanding. This mixed-method approach allows you to not only quantify trends but also explore the reasons behind them, offering a comprehensive view of your user experience.
Live interviews are a great way to collect qualitative insights. By having dynamic discussions, interviewees are able to observe verbal as well as non-verbal cues and ask open-ended questions to uncover those details that surveys and usability testing cannot. Interviewing is an especially useful UX research method for understanding complex feelings and experiences because it allows you to ask follow-up questions.
Early on, UX research was most commonly used to solve a problem that was already known. For example, if a company noticed that visitors were dropping off their site at an unusually high rate on a particular page, researchers would look into how to solve that specific problem. As a result, research wasn’t necessarily something that was done for discovery or as a regular part of the development process.
But that’s a thing of the past. The value teams are getting from fast human insights is driving UX research best practices to become embedded in everyday processes for teams across the business. What was once just a problem-solving mindset has evolved to combine the perspective of finding what problems to solve, as well.
This is where researchers flex their strategic skills, and companies are getting creative with user experience research to provide valuable insights. As any consumer will tell you, there are countless experiences that leave us underwhelmed, if not disappointed, that might not be so obvious to spot.
For example, if you visit an e-commerce site, find a product, and purchase it, there isn’t a lot of information that would trigger anyone to wonder if the purchasing experience needed any attention. After all, a purchase was made, right? Discovering what problems need solving, in addition to solving the ones you know need attention, is a big shift in UX research mentality.
UX, CX, usability, user testing. No matter what you call it, putting your customers at the center of your company’s mission and culture has become a competitive advantage that not only attracts new customers but keeps them coming back.
This expanded view and access to user experience research mean that not only are companies better equipped than ever to create and improve great experiences for their customers, it also means that customers will be expecting better and better experiences in the future.
Everything you need to know to effectively plan, conduct, and analyze remote experience research.
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The role of the user experience (UX) researcher is becoming more prominent, more specialized, and more in demand.
Uncovering user behaviors, needs, and motivations in order to design products and services that provide value is the crux of user experience research. When performed correctly, these methods have a huge impact on business.
So what is a UX researcher?
In this guide, we’ll take a look at what a UX researcher does and the UX research career path.
Although there is no singular path, there are four main steps to move a UX researcher forward: expanding knowledge of the user research field ; obtaining foundational skills ; crafting a portfolio; and building a network of industry peers.
Here’s what we’ll cover:
A user experience researcher has their hand on the pulse of user needs and goals. They are the empathetic, organized, critical thinker whose day-to-day is about the first stage of the design thinking process : empathize .
This isn’t to say that UX researchers’ work is totally separate from the rest of the process, but their work has arguably the most humanizing effect on the process. Here’s why— UX researchers know how to:
The purpose of the UX researcher (also referred to as “user researcher” or “design researcher”) is to unearth human insights in order to guide the application of design.
According to a recent job posting by IBM, as a design researcher, you will “help provide actionable and meaningful data-driven insights that represent the voice of multiple users. You will collaborate across development, design, and marketing teams to evaluate current and upcoming user research needs that help to improve product definition and drive business goals.”
Some typical tasks and responsibilities of the UX researcher include:
These are just a handful of tasks that belong to UX research. Ultimately, your job as a UX researcher is to build up a picture of your target users based on their needs, wants, motivations, and pain points. These insights enable the wider design team to create user-friendly products based on real user feedback—not just your assumptions.
As with most UX design roles, the UX researcher means different things to different companies.
To learn more about what might be expected of you as a UX researcher, browse various job sites and see how different companies advertise and describe the role. Here are some useful job portals to help you get started:
Now we’re familiar with some of the key tasks and responsibilities, let’s consider what skills are required for a career in UX research.
As such, being a UX researcher typically requires knowledge or experience in a relevant field that studies human behavior, such as cognitive science, behavioral economics, anthropology, sociology, or psychology. Ultimately, it’s important to be adept at reading people and empathizing with the user, and equally at home handling data and analytics.
Ideal candidates are typically “passionate, curious, and self-driven team players” who have experience working in fast-paced environments while applying both generative and evaluative research methods to build a larger understanding of users.
It’s also important to have a solid understanding of the design thinking process, as well as a passion and know-how for influencing design strategy.
Obtaining these skills can be done through identifying research opportunities with a current employer, volunteering for a design project with an external organization (e.g. VolunteerMatch), or completing research for a personal project of your own.
Overall, practice makes perfect, and refining these skills as often as you can prepare you for your future role. You can even get a design thinking certification by taking a course or program in the discipline, to show potential employers and clients that you truly know your stuff.
As already mentioned, there are four key steps to forging a career in UX research:
Let’s start with that first step: Expanding your knowledge of the UX research field. In addition to browsing job descriptions, there are plenty of things you can do to learn more about the industry — but where to begin?
Start with the basics and learn all about UX design in this comprehensive guide , and understand the critical role UX research plays in UX design in this article.
From there, learn about the difference between qualitative , quantitative , attitudinal, and behavioral research. Next, you can familiarize yourself with some common UX research methods, such as card sorting, usability testing, and user interviews.
You’ll find an introduction to some of the most important UX research methods on the CareerFoundry YouTube channel (and be sure to take a look at these free UX research tutorials ).
Be sure to watch the video below, in which CareerFoundry graduate and professional UX designer Maureen Herben explains the different techniques and tools used in qualitative user research:
As part of your own research into the UX research field, you’ll also want to consider things such as salary and career options. Sites like Glassdoor and Payscale provide up-to-date salary reports for a range of different locations.
If you can, reach out to people who are already donning the UX researcher job title. Do they tend to work remote or in-house? What kinds of companies employ UX researchers? Again, job sites can help you out here if you don’t have any contacts in the industry (yet!).
Before you commit to the UX researcher route, it’s important to learn as much as you can about the industry and what the role entails.
If you’re keen to forge a career in UX research, you’ll need to start learning some of the key skills. As with any profession, it’s important to build a solid foundation of knowledge before jumping into real-world problem-solving.
Assuming that you already have some knowledge in a related area (cognitive science, sociology, psychology, etc.), there are plenty of ways to learn the fundamentals of user research. Let’s consider those now.
Industry blogs are a great way to start learning the ins and outs of the field. Some useful (and trustworthy!) sources include:
If possible, consider attending a UX research conference or a local meetup. You’ll find a list of the top UX research conferences to attend in 2019 here , and can search for local UX research groups on meetup.com .
In addition to the examples above, finding an apprenticeship or a more senior researcher who is willing to let you shadow their process is a great way to immerse yourself in the context of a UX researcher while learning “on the job.”
As with any design role, a compelling portfolio is key to proving you’ve got the right skills for the job. So how do you go about creating a convincing UX research portfolio ?
As you practice refining your skills, keep a record of your work to present to future employers. Crafting an online portfolio is a great supplement to a resume or CV when highlighting case studies that show hiring managers what you can do. According to Senior UX Recruiter Tom Cotterill:
“Your portfolio should show cultural suitability for the company where you are applying. Don’t be afraid to add a touch of character or your own style to your portfolio. It’s your chance to wow the hiring manager and demonstrate that you stand out from the crowd. A good portfolio indicates, in short, that this person has taken time to represent themselves in the best possible light, and they’re clued up enough to showcase their most relevant work in an aesthetic and logical way.”
Ultimately, your portfolio should include the following sections:
For more insight on how to refine a great UX research portfolio, check out How to Wow Me With Your UX Research Portfolio and How to Create a Powerful Case Study for Your UX Portfolio . Another great resource for inspiration is Bestfolios , the largest curation of best UX research and designer portfolios, resumes, case studies , and design resources.
You’re in the process of mastering the right skills and crafting your portfolio. Now it’s time to network! Networking is one of the best ways to meet people in the UX field and potentially land a new job.
Let’s consider some of the best opportunities for making industry connections.
If you are currently employed, look to see if there are any user experience researchers in your organization, and ask them what it’s like! Also request to shadow them during a research session and take notes.
Informational interviews are also a great way to get candid feedback with people working at great companies, such as IBM, Google, or Amazon. Using LinkedIn or Twitter to find and invite UX researchers for coffee is a solid way to get an idea of what it may be like to work for your company of interest, and also how to get in the door.
Actively participate in online UX communities (e.g. Facebook groups) relevant to your professional interests and learning goals. Here are a few to start with:
Lastly, join 1-2 user experience research organizations, such as the User Experience Research Professionals Association or the Design Research Society to see if there are any upcoming events you can attend.
UX is a growing field, and the role of the user experience researcher is becoming more and more pivotal. Equipping yourself with the necessary skills and knowledge, and learning to conduct UX research like a professional , while surrounding yourself with peers in the field who you can learn from are essential to becoming a UX researcher yourself.
Overall, the value of understanding the needs of the customer cannot be ignored, and user experience researchers will have an increasingly valuable role to play in the future of design.
If you’d like to learn more about UX research, check out the following guides:
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Written by Syed Balkhi
3 September, 2024
Do you ever wonder how websites and apps seem to know exactly what you want? The truth is, this is in large part due to AI in UX design.
There’s no question that AI has fundamentally changed how companies across all industries operate. According to Forbes, the AI industry is expected to hit $407 billion by 2027! For more context, research shows that around 73% of online businesses in the U.S. are already using AI in some way.
And it’s no wonder why. AI saves marketers about 2.5 hours a day – that’s 25 whole days a year!
But if you want to get the most from AI, you need to start thinking about how you can use it in UX research. With the right knowledge and resources, you can continuously streamline your design process, which will ultimately lead to more engagement, clicks, and, most importantly, sales.
Today, we are going to show you how AI is improving UX research and design and how you can use it to your advantage.
Let’s get started!
Let’s start by exploring a few key benefits of adding AI to your existing design process.
Now that you know a little more about the benefits, let’s talk about some of the specific, practical applications for AI in both user testing and research.
Automated user behavior analysis makes it easier to see how your audience interacts with your product. AI can track and analyze every click, scroll, and hover, things that would take humans much longer to uncover. Since all of this information is at your fingertips in minutes, you can quickly identify patterns and take action.
It can handle a whole lot of data at once, which makes large-scale user testing more manageable than ever before. Traditional user testing often limits the number of participants due to logistical constraints. But with AI, you can test with thousands or even millions of users, which means your data will be statistically significant and reliable.
By finding subtle trends and anomalies in the big picture, AI helps you understand user behavior and needs better, which means you can make data-driven decisions that improve user satisfaction and overall experience.
A/B testing is a proven way to see which version of a web page or app performs better based on a number of different metrics. This strategy is also called split-testing, and it’s been around since long before AI.
But there’s no question that machine learning makes this process even better by optimizing it in new and exciting ways. For example, AI algorithms are very good at analyzing different versions of a landing page or offer, which will help you find the best ways to connect with your audience.
Predictive analytics is another element of A/B testing that you should know about. By using historical data and learned patterns, AI can predict which version will perform better even before the testing is complete. This means faster decision-making and better version implementation, so you waste less time and resources on testing.
Ultimately, AB testing helps you deliver the best possible experience based on data, not guesswork or intuition. AI can make it even better.
Brainstorming for new designs is important but time-consuming. Instead of spending hours at meetings, you can use AI to speed up this process.
Basically, you can ‘feed’ your program different designs and campaigns that worked well in the past. The AI-powered software can look through this information and pull out key elements that it can then use to build new campaigns.
Doing this can help you generate a library of great-looking templates and concepts that you can discuss with your design team. Much like traditional brainstorming, not every idea will be a winner. But there’s no question that you’ll save a significant chunk of time by using AI to come up with a pool of ideas.
Rapid iteration on an existing campaign is also possible with AI-driven prototyping, which actually leads back to A/B testing. Instead of spending weeks or months on one prototype, AI tools can generate multiple versions in minutes that you can experiment with on your site or social media.
Trying out different concepts is important for creative growth, and AI makes it possible to experiment more. By making it easy to test and discard many ideas, AI creates an environment where prototype testing can flourish.
Making your product accessible to all users is not only the right thing to do, but it also dramatically expands your audience.
AI-driven accessibility checks can automatically scan your design for issues that will hinder users with disabilities. For example, there are tests to determine if a site is color-blind friendly, with different versions for each type of colorblindness. In my experience, this proactive approach helps you identify and fix problems early in the design process.
There’s no doubt that AI can check for accessibility issues faster and more accurately than manual testing. Since AI is working on this part of your site, the design team can focus on other important parts of the user experience while knowing accessibility is being taken care of.
Using AI for periodic checks makes sure no one is left out. It promotes a welcoming design approach so all users, regardless of ability, can have a good experience with your product. This not only increases user satisfaction but also your brand’s reputation for inclusivity .
Did you know that 74% of shoppers say they’ve felt frustrated by a shopping experience because the content didn’t match their interests? This is exactly why personalization is the key to user engagement. People are more likely to take action on your site if you show them things that are relevant to their interests.
AI can supercharge this concept by automatically adapting content and promotions to each user’s preferences. It can do this by analyzing user behavior, determining what content users will find most interesting based on their actions, and tailoring the experience accordingly. This will create a more engaging experience for every single person who lands on your site.
Cool, right?
AI-driven personalization at scale is especially useful for growing businesses. As your user base grows, it admittedly gets hard to add a personal touch to everything you do. AI is able to process huge amounts of data, which means it can hone in and deliver personalized experiences to millions of users without compromising on quality.
The bottom line is people will engage with content that feels tailored to them, which means a big boost in retention and satisfaction. When you add AI to the mix, it creates a win-win situation for you and your customers.
Knowing what users want and need is a powerful way to improve the user experience. With the right data, AI can predict what someone might want or do next by looking at past behavior and trends. This foresight will help you design interfaces and interactions that are more intuitive and meet each customer’s expectations.
For example, a streaming service like Max will show each person shows and movies they might like based on their watch history.
In the old days, you’d have to wait weeks, sometimes months, and read through tons of user feedback before you could make actionable changes to your campaigns. With AI, you can make these changes essentially in real time based on how people are engaging with your content or offers.
By knowing what they need before they even realize they have a problem, you can offer solutions that add value to their lives. This proactive approach builds loyalty as users feel understood and valued by your brand.
Consistency is a massive part of creating a positive user experience. People want to feel comfortable with a brand, whether they’re browsing their blog or buying their products.
AI can help with this by generating style guides across your entire brand, including products, landing pages, and social media profiles. As a result, all the different parts of your product will have an original look and feel that your customers will recognize.
In this instance, AI will save you a lot of time. Instead of manually checking each component, like color hex codes, against the style guide, AI can do this for you. This reduces the chances of inconsistencies and makes sure every part of the product aligns with your brand.
It’s more clear than ever before that AI is having a huge impact on UX research and design. It’s making things faster, smarter, and more personal.
One of the misconceptions I see around this topic is that it’s meant to replace humans. The truth is, that tools like this actually give designers and researchers better tools to do their job.
The best UX still comes from a mix of AI smarts and human creativity. AI can crunch the numbers and spot patterns, but it takes human insight to turn those insights into experiences that truly connect with users.If you’re ready to bring AI design and research tools to your business, there’s no time like right now to start. Artificial intelligence is getting more helpful every day, so why not take advantage of this remarkable and effective tool today?
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Vol. 55 No. 6 Print version: page 29
As artificial intelligence (AI) and automation revolutionize work, employers worldwide are striving to keep pace with the latest developments, maintain productivity, and reduce employee stress.
Applied cognitive psychologist Melissa Smith, PhD, is studying the best ways to help companies and organizations do that as a senior user experience (UX) researcher at Google Workspace, based in Raleigh, North Carolina. The group designs and integrates Google’s vast suite of productivity tools, including Gmail, Google Docs, and Google Meet, into a cohesive service. Using the latest cognitive science, Smith and her team are building more intuitive, user-friendly programs, such as the mobile versions of popular applications like Google Drive and Calendar. Their goal is to boost both employee performance and well-being.
Smith underscores the need for workplaces to adapt to AI and other emerging technologies. She sees these advances not as threats to replace people but as tools to aid in mundane or risky tasks, enabling people to prioritize what truly defines human work: collaboration and creativity. “The beauty of user experience research is discovering what makes someone care deeply about a product, then developing that technology to support their learning and growth,” said Smith.
The Monitor talked with Smith about how she came to UX research and its implications for the future workforce.
Google Workspace products have always been known for their collaborative nature. When I was in early college and Google first introduced Docs, it was revolutionary to be able to have multiple people working on one document at the same time. Today, those collaborative features are an industry norm, and our team is still pushing the cutting-edge boundaries of collaborative work. We are currently incorporating generative AI features across Gmail and Workspace to simplify organization tasks. Soon, you will be able to use Gmail’s side panel to summarize emails and highlight the most important action items. Also, the “Help me write” feature in Gmail and Docs, which uses AI to draft messages based on your prompts, will support Spanish and Portuguese.
Our team also prioritizes tech accessibility as we build new features, making sure that we don’t inadvertently exclude people who, for instance, rely on screen readers or high-contrast screens to interact with our services. Accessibility considerations can be easily overlooked if you don’t actively engage with the many types of consumers who use your services. There are always opportunities for us to improve in creating technology that caters to people with diverse needs or disabilities.
User experience research is vital in product development because we are actively incorporating the voices of customers and users. My work focuses on talking with people who use our products to accomplish the diverse tasks relevant to their roles. For example, the needs of a general consumer using our products to complete schoolwork or organize family events differ from those of a small business owner who uses Google Workspace to manage a team.
By making productivity tools more user-friendly, our services streamline workflows and reduce employee stress. Overly complex software and information overload can cause mental fatigue. If we can simplify these processes and present information more clearly, we can help workers focus on essential tasks. This is especially important as workplaces increasingly adopt hybrid work models and communication among workers is fragmented. Our research helps us develop products that better support remote work, such as improved virtual collaboration and scheduling tools that help employees maintain work-life balance.
For example, my team has gained valuable information from users about the importance of seamless connection across multiple platforms and devices which has inspired us to improve the mobile interface for Google Workspace products. Just 5 years ago, I would have never opened a Google Doc on my phone. Now, mobile Docs is far more accessible and offers expanded features for collaboration among employees working from many different locations and platforms.
During middle school and high school, I was involved with a nonprofit organization called FIRST, which fosters excitement for science and technology among K–12 students through annual robotics competitions. It’s been more than 20 years since I first participated in the program, but that excitement hasn’t stopped. I serve on the FIRST Robotics board and help connect FIRST students with alumni at Google.
One of my goals is to show students the diverse STEM (science, technology, engineering, and mathematics)-related careers available to them, beyond the already well-known roles like engineer, lab scientist, or doctor. This is partly influenced by my own experiences. I spent my undergraduate years as a mechanical engineering major because I wanted to work in robotics. But when I discovered human-robot interactions, I found that exploring how people engage with and trust artificial agents, and how robots can improve human lives, interested me far more. So, I changed my major and pursued a PhD in applied cognitive psychology and eventually realized that my research interests aligned with the user experience field.
No matter what the technology is—you could insert whichever technology buzzword you want, whether it’s AI, machine learning, or big data—people’s fundamental approaches to adopting new systems follow a similar pattern. There will be the early adopters, who embrace the new technology and trust it even if it’s still being workshopped. Then, there is a larger chunk of intermediary users, who prefer to test the waters and wait for the technology to take off before they immerse themselves in it. Finally, there are the people who resist change altogether—the “if it’s not broken, why fix it?” users, who probably wouldn’t mind using an old-school flip phone.
That research taught me that you need to adapt to each set of users. I emphasize that perspective in every product my team creates because most of us on the development team belong to that first group, who generally trust and understand technology. But we aren’t representative of most consumers, so it’s essential to reach out to our end users, not to convince them to trust our product but to hear their concerns so we can build a product worth trusting.
AI is unique in that it doesn’t just offer incremental improvements over existing technologies; it represents a whole new paradigm in how people think about and interact with technology. Consequently, we need to exercise much greater caution when building new products and proactively anticipate how users will interact with these systems. At the same time, AI opens many more opportunities to create magical moments—to push productivity, problem-solving, and collaboration forward. That kind of entirely new technology hasn’t emerged in many years, so it is an incredibly interesting time to be a user experience researcher.
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deadline of submission: 18 september 2024.
The World Health Organization (WHO) is seeking experts to serve as members of the Technical Advisory Group on the use of digital technologies to enhance access to assistive technology. This “Call for experts” provides information about the advisory group in question, the expert profiles being sought, the process to express interest, and the process of selection.
The World Health Organization (WHO) estimates that over 2.5 billion people need assistive technology, but access to assistive products is as low as 3% in some settings. Among the users of assistive technology, the majority are older people and those living with disabilities or with chronic health conditions. Access to assistive technology is a fundamental human right to live a productive, dignified, and independent life.
Digital health interventions can be used to address barriers to assistive technology. Digital health is the systematic application of information and communications technologies, computer science, and data to support informed decision-making by individuals, the health workforce, and health systems, to strengthen resilience to disease and improve health and wellness.
Recognizing the need to enhance access to assistive technology and to harness the potential of digital technologies to support health systems for the realization of the Sustainable Development Goals, the World Health Assembly (WHA) has adopted two resolutions: WHA71.8 on improving access to assistive technology and WHA71.7 on digital health .
To improve access to assistive technology, WHA71.8 requests Member States to develop, implement, and strengthen policies and programs to improve access to assistive technology, to ensure that adequate and trained human resources for the provision and maintenance of assistive products are available, to promote or invest in research, development, innovation, and product design to make existing assistive products affordable; and to develop a new generation of products. In its resolution on digital health, WHA urges Member States to develop, implement, and utilize digital technologies as a means of promoting equitable, affordable, and universal access to health for all, and to build capacity for human resources for digital health, especially through digital means. The combination of these two approaches holds transformative potential, impacting health, education, livelihoods, and social participation.
Further, the publication of the first WHO and UNICEF Global report on assistive technology and advances in technology, new knowledge, evidence, and innovative solutions are made available. WHO is now in the process of supporting the use of digital technologies to enhance access to assistive technology and maximize benefits for users, their families, service providers, and society, especially in low- and middle-income countries.
The Technical Advisory Group on the use of digital technologies to enhance access to assistive technology (“TAG”) will play an important role in providing recommendations to WHO and will act as an advisory body to WHO in this field.
Functions of the TAG on the use of digital technologies to enhance access to assistive technology
In its capacity as an advisory body to WHO, the TAG shall have the following functions:
Operations of the TAG on the use of digital technologies to enhance access to assistive technology
Members of the TAG shall be appointed to serve for a period of two years and shall be eligible for reappointment. The TAG is expected to meet at least once a year. However, WHO may convene additional meetings. TAG meetings may be held in person (at WHO headquarters in Geneva or another location, as determined by WHO) or virtually, via video or teleconference. The working language of the TAG will be English. We anticipate the time commitment for TAG members will be about one day per month, including participating in meetings and contributing to draft and reviewing technical documents.
Who can express interest?
The TAG on the use of digital technologies to enhance access to assistive technology will be multidisciplinary, with members who have a range of technical knowledge, skills, and experience relevant to assistive technology and digital health. Approximately 12 members may be selected.
WHO welcomes expressions of interest from professionals, managers, policymakers, researchers, regulators, and experienced assistive technology users with expertise in one or more of the following areas:
Submitting your expression of interest
To register your interest in being considered for the TAG on the use of digital technologies to enhance access to assistive technology, use this link to fill in the digital expression of interest form and submit the following documents :
The deadline for submission is 18 September 2024 at 23:59 Geneva time.
After submission, your expression of interest will be reviewed by WHO. Due to an expected high volume of interest, only selected individuals will be informed.
Members of WHO technical advisory groups (TAGs) must be free of any real, potential, or apparent conflicts of interest. To this end, applicants are required to complete the WHO Declaration of Interests for WHO Experts, and the selection as a member of a TAG is, amongst other things, dependent on WHO determining that there is no conflict of interest or that any identified conflicts could be appropriately managed (in addition to WHO’s evaluation of an applicant’s experience, expertise and motivation and other criteria).
All TAG members will serve in their individual expert capacity and shall not represent any governments, any commercial industries or entities, any research, academic, or civil society organizations, or any other bodies, entities, institutions, or organizations. They are expected to fully comply with the Code of Conduct for WHO Experts (https://www.who.int/about/ethics/declarations-of-interest). TAG members will be expected to sign and return a completed confidentiality undertaking prior to the beginning of the first meeting.
At any point during the selection process, telephone interviews may be scheduled between an applicant and the WHO Secretariat to enable the WHO to ask questions relating to the applicant’s experience and expertise and/or to assess whether the applicant meets the criteria for membership in the relevant TAG.
The selection of members of the TAGs will be made by WHO in its sole discretion, taking into account the following (non-exclusive) criteria: relevant technical expertise; experience in international and country policy work; communication skills; and ability to work constructively with people from different cultural backgrounds and orientations. The selection of TAG members will also take account of the need for diverse perspectives from different regions, especially from low and middle-income countries, and for gender balance.
If selected by WHO, proposed members will be sent an invitation letter and a Memorandum of Agreement. Appointment as a member of a TAG will be subject to the proposed member returning to WHO the countersigned copy of these two documents.
WHO reserves the right to accept or reject any expression of interest, to annul the open call process, and reject all expressions of interest at any time without incurring any liability to the affected applicant or applicants and without any obligation to inform the affected applicant or applicants of the grounds for WHO's action. WHO may also decide, at any time, not to proceed with the establishment of the TAG, disband an existing TAG, or modify the work of the TAG.
WHO shall not in any way be obliged to reveal, or discuss with any applicant, how an expression of interest was assessed, or to provide any other information relating to the evaluation/selection process, or to state the reasons for not choosing a member.
WHO may publish the names and a short biography of the selected individuals on the WHO internet.
TAG members will not be remunerated for their services in relation to the TAG or otherwise. Travel and accommodation expenses of TAG members to participate in TAG meetings will be covered by WHO in accordance with its applicable policies, rules, and procedures.
The appointment will be limited in time as indicated in the letter of appointment.
If you have any questions about this “Call for experts”, please write to [email protected] using the subject line “TAG Expression of interest” well before the 18 September 2024 deadline.
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UX research helps brands and organizations to: Understand how users experience products, websites, mobile apps, and prototypes. Evaluate and optimize prototypes and ideas based on UX research discoveries - and nail the design and experience early in a product's life cycle. Unearth new customer needs and business opportunities.
UX (user experience) research is the systematic study of target users and their requirements, to add realistic contexts and insights to design processes. UX researchers adopt various methods to uncover problems and design opportunities. Doing so, they reveal valuable information which can be fed into the design process.
Even if you don't currently use Google products, you can still sign up for a chance to participate in our research. If one of our studies is a good fit for you, we'll get in touch with details and next steps. Most participants will get a thank-you gift. If playback doesn't begin shortly, try restarting your device.
User research is at the core of every exceptional user experience. As the name suggests, UX is subjective—the experience that a person goes through while using a product. Therefore, it is necessary to understand the needs and goals of potential users, the context, and their tasks which are unique for each product.
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The field of user experience has a wide range of research methods available, ranging from tried-and-true methods such as lab-based usability testing to those that have been more recently developed, such as unmoderated UX assessments. While it's not realistic to use the full set of methods on a given project, nearly all projects would benefit from multiple research methods and from combining ...
A Guide to Using User-Experience Research Methods. Summary: Modern day UX research methods answer a wide range of questions. To help you know when to use which user research method, each of 20 methods is mapped across 3 dimensions and over time within a typical product-development process. For further detail, see When to Use Which User ...
A standout user experience gives a company a competitive edge and lowers the chances of product setbacks. Dive deeper into the significance of user research in design with Data-Driven Design: Quantitative Research for UX and User Experience: The Beginner's Guide.
User research is used to understand the user's needs, behaviors, experience and motivations through various qualitative and quantitative methods to inform the process of solving for user's problems. As Mike Kuniaysky puts it, user research is: "The process of understanding the impact of design on an audience.".
User experience research is a systematic approach to helping companies understand a user's perspective. It's about diving deep into how people interact with a product and observing how easily they can complete their tasks and meet their goals. Through UX research, you can discover behaviors, needs, and motivations via observation, task ...
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User research, or UX research, is an absolutely vital part of the user experience design process. Typically done at the start of a project, it encompasses different types of research methodologies to gather valuable data and feedback. When conducting user research, you'll engage with and observe your target users, getting to know their needs ...
User Experience Research is a process --it's not just one thing-- that involves collecting data, conducting interviews, usability testing prototypes or website designs with human participants in order to deeply understand what people are looking for when they interact with a product or service.
You'll get to influence things that millions of people use every day, from email and productivity apps, to tools for developers and educators. Even if you don't currently use Google products, you can still sign up for a chance to participate in our research. If one of our studies is a good fit for you, we'll get in touch with details and ...
A UX research method is a way of generating insights about your users, their behavior, motivations, and needs. These methods help: Learn about user behavior and attitudes. Identify key pain points and challenges in the user interface. Develop user personas to identify user needs and drive solutions.
UX Research Cheat Sheet. Susan Farrell. February 12, 2017. Summary: User research can be done at any point in the design cycle. This list of methods and activities can help you decide which to use when. User-experience research methods are great at producing data and insights, while ongoing activities help get the right things done.
User Experience research or UX research is defined as users' systematic study to discover behaviors, needs, motivations, and trends through observations, analysis, and other user feedback. UX researchers use different methods to understand problems and draw opportunities to stand out amongst their competition. Organizations conduct UX ...
Attitudinal research looks at a user's feelings and attitudes toward an experience. UX research methods. One aspect of your role as a UX designer will be deciding which research method is appropriate for answering which questions. The UX research tool chest contains a variety of options to help you glean information from your users.
Abstract. This new and completely updated edition is a comprehensive, easy-to-read, "how-to" guide on user research methods. You'll learn about many distinct user research methods and also pre- and post-method considerations such as recruiting, facilitating activities or moderating, negotiating with product developments teams/customers, and ...
Traditionally, user experience research is the practice of studying user interactions to help with the design of people-first products and experiences. Nonetheless, the meaning of UX can vary depending on who you're talking to. For product teams, UX research might mean validating prototypes and concepts, and for marketing teams, it may mean ...
UX Research Organizations. Lastly, join 1-2 user experience research organizations, such as the User Experience Research Professionals Association or the Design Research Society to see if there are any upcoming events you can attend. 8. Final thoughts. UX is a growing field, and the role of the user experience researcher is becoming more and ...
Specialization - 6 course series. Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis ...
These studies require a small amount of activity every day for several days or weeks. Google researchers will ask you to respond to questions or take notes based on your experience using a product. Surveys. For these studies, we'll simply send you a survey form to fill out. Please note that we don't typically offer a gift for participating ...
We have partnered with market research providers Instinct and Reason to run several research sessions to help us gauge user understanding of what the PPSR is and how it can help them. We'd love to hear your thoughts about our messaging, what works and doesn't, and how we can better communicate the benefits of the PPSR to you.
7 Practical AI Applications in User Testing and Research. ... Since AI is working on this part of your site, the design team can focus on other important parts of the user experience while knowing accessibility is being taken care of. Using AI for periodic checks makes sure no one is left out. It promotes a welcoming design approach so all ...
User experience research is vital in product development because we are actively incorporating the voices of customers and users. My work focuses on talking with people who use our products to accomplish the diverse tasks relevant to their roles. For example, the needs of a general consumer using our products to complete schoolwork or organize ...
The World Health Organization (WHO) is seeking experts to serve as members of the Technical Advisory Group on the use of digital technologies to enhance access to assistive technology. This "Call for experts" provides information about the advisory group in question, the expert profiles being sought, the process to express interest, and the process of selection.BackgroundThe World Health ...