Find new directions and opportunities
Improve usability of design
Measure product performance against itself or its competition
Generative research methods
Formative research methods
Summative research methods
Field studies, diary studies, interviews, surveys, participatory design, concept testing
Card sorting, tree testing, usability testing, remote testing (moderated and unmoderated)
Usability benchmarking, unmoderated UX testing, A/B testing, clickstream / analytics, surveys
While many user-experience research methods have their roots in scientific practice, their aims are not purely scientific and still need to be adjusted to meet stakeholder needs. This is why the characterizations of the methods here are meant as general guidelines, rather than rigid classifications.
In the end, the success of your work will be determined by how much of an impact it has on improving the user experience of the website or product in question. These classifications are meant to help you make the best choice at the right time.
Here’s a short description of the user research methods shown in the above chart:
Usability testing (aka usability-lab studies): Participants are brought into a lab, one-on-one with a researcher, and given a set of scenarios that lead to tasks and usage of specific interest within a product or service.
Field studies : Researchers study participants in their own environment (work or home), where they would most likely encounter the product or service being used in the most realistic or natural environment.
Contextual inquiry : Researchers and participants collaborate together in the participants own environment to inquire about and observe the nature of the tasks and work at hand. This method is very similar to a field study and was developed to study complex systems and in-depth processes.
Participatory design : Participants are given design elements or creative materials in order to construct their ideal experience in a concrete way that expresses what matters to them most and why.
Focus groups : Groups of 3–12 participants are led through a discussion about a set of topics, giving verbal and written feedback through discussion and exercises.
Interviews : a researcher meets with participants one-on-one to discuss in depth what the participant thinks about the topic in question.
Eyetracking : an eyetracking device is configured to precisely measure where participants look as they perform tasks or interact naturally with websites, applications, physical products, or environments.
Usability benchmarking : tightly scripted usability studies are performed with larger numbers of participants, using precise and predetermined measures of performance, usually with the goal of tracking usability improvements of a product over time or comparing with competitors.
Remote moderated testing : Usability studies are conducted remotely , with the use of tools such as video conferencing, screen-sharing software, and remote-control capabilities.
Unmoderated testing: An automated method that can be used in both quantitative and qualitative studies and that uses a specialized research tool to capture participant behaviors and attitudes, usually by giving participants goals or scenarios to accomplish with a site, app, or prototype. The tool can record a video stream of each user session, and can gather usability metrics such as success rate, task time, and perceived ease of use.
Concept testing : A researcher shares an approximation of a product or service that captures the key essence (the value proposition) of a new concept or product in order to determine if it meets the needs of the target audience. It can be done one-on-one or with larger numbers of participants, and either in person or online.
Diary studies : Participants are using a mechanism (e.g., paper or digital diary, camera, smartphone app) to record and describe aspects of their lives that are relevant to a product or service or simply core to the target audience. Diary studies are typically longitudinal and can be done only for data that is easily recorded by participants.
Customer feedback : Open-ended and/or close-ended information is provided by a self-selected sample of users, often through a feedback link, button, form, or email.
Desirability studies : Participants are offered different visual-design alternatives and are expected to associate each alternative with a set of attributes selected from a closed list. These studies can be both qualitative and quantitative.
Card sorting : A quantitative or qualitative method that asks users to organize items into groups and assign categories to each group. This method helps create or refine the information architecture of a site by exposing users’ mental models .
Tree testing : A quantitative method of testing an information architecture to determine how easy it is to find items in the hierarchy. This method can be conducted on an existing information architecture to benchmark it and then again, after the information architecture is improved with card sorting, to demonstrate improvement.
Analytics : Analyzing data collected from user behavior like clicks, form filling, and other recorded interactions. It requires the site or application to be instrumented properly in advance.
Clickstream analytics: A particular type of analytics that involves analyzing the sequence of pages that users visit as they use a site or software application.
A/B testing (aka multivariate testing , live testing, or bucket testing): A method of scientifically testing different designs on a site by randomly assigning groups of users to interact with each of the different designs and measuring the effect of these assignments on user behavior.
Surveys : A quantitative measure of attitudes through a series of questions, typically more closed-ended than open-ended . A survey that is triggered during the use of a site or application is an intercept survey, often triggered by user behavior. More typically, participants are recruited from an email message or reached through some other channel such as social media.
In-Depth Course
More details about the methods and the dimensions of use in the full-day training course User Research Methods: From Strategy to Requirements to Design and the article A Guide to Using User-Experience Research Methods .
Related courses, user research methods: from strategy to requirements to design.
Pick the best UX research method for each stage in the design process
Conduct successful discovery phases to ensure you build the best solution
Plan, conduct, and analyze your own studies, whether in person or remote
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Effective user experience design is intuitive, accessible, and engaging. But how do you design a delightful experience that meets your target audience’s needs? Conducting user experience research gives you a glimpse inside your users’ heads, so you can understand what they care about and the challenges they face.
In this article, Figma Designer Advocate Ana Boyer weighs in on:
User experience research helps design teams identify areas of opportunity to improve user interfaces and enhance the overall user experience. According to Ana, UX research can reveal insights about target users across all phases of product development—from strategy and planning to product launch and post-launch improvements. A robust UX research framework includes both quantitative and qualitative research.
Using information gathered from larger sample sizes, quantitative research yields concrete numerical data that reveals what users are doing. Researchers run statistical analyses and review analytics to gain insights into user behavior. For example, Ana says, “you might try tracking the number of times users clicked a CTA button on a newly designed web page, compared to an old version."
For qualitative research, researchers collect subjective and descriptive feedback directly from users, tapping into users’ personal feelings and experiences with a product or design. "Qualitative research gives you a more thorough explanation of why someone is doing something in the context of a flow,” Ana says.
User-centered design research often covers two types of qualitative research: attitudinal and behavioral. Attitudinal research examines users’ self-reported beliefs and perceptions related to a user experience, while behavioral research focuses on observing first-hand what users do with a product.
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According to Ana, with UX research you can:
Most common UX research methodologies break down into these essential activities:
Given all the UX research methods you can use for product development, when is each most useful? Ana offers these pro tips.
Launch & post-launch
No matter where you are in the product development process, FigJam’s research plan template can help you define your research goals. Figma’s research and design templates help you conduct research with user interviews , user personas , card sorting , and Sprig study integration .
With the insights gained from your research, you're ready to design, develop, and prototype engaging user experiences. Use Figma’s UX design tool to:
To jumpstart your UX research, browse inspiring UX research resources shared by the Figma community .
Now you're ready to roll with UX research!
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[1] https://www.nngroup.com/articles/which-ux-research-methods/
[2] https://www.uxbooth.com/articles/complete-beginners-guide-to-design-research/
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User research is the driving force behind product experience insights and UX improvements. But where do you start?
Reading time.
If you don't know what you’re looking for—or where to look for it—user research turns into an overwhelming game of “find the conversion needle in the data haystack.”
So let’s talk about how to find the right data the first time.
If you tune into a movie halfway through, you might get the gist of the story, but you'll miss some critical details. User research is the same, which is why you should resist the urge to jump into testing too quickly.
Deciding on a goal in advance and laying out a clear plan sets you up to:
Work smarter instead of harder:
you know what info you need so you can get in, and get out.
Get buy-in from the team and stakeholders:
you can convey where you’re going, how you’ll get there, and why the team should care.
Easily find insights:
narrowing your approach means you have less rogue data to sort through at the end of the project.
Aly Abel from Moonpig put it best when she said, “the consequence of [not defining the research process is] research requests come in last minute, questions aren't properly defined, answers are needed now, which means work is rushed.”
“Great, great,” you say, “ but how do I plan user research? ”
Here are three key questions to ask yourself before starting any project.
Prioritizing the research process starts with deciding what to look at. You might have a list of research ideas that include finding out:
Why users make certain choices or take certain actions
Which pricing and packaging performs best
How to drive upgrades and increase retention
Why users behave a certain way on your website
Who your different users are
All of these are worthy endeavors, but you can’t do them all at once—you need to rank their importance and tackle one at a time.
It can be tempting to only focus on the big roadmap items, but spending too much time on long-view projects puts you at risk of missing out on ways to help your customers right now . On the flipside, tackling a lot of small goals and changes could make the user experience (UX) feel scattered.
The solution? Fill your schedule with mostly intermediate goals that balance catering to the company’s current strategy and user’s needs today .
If you’re still stumped over which project deserves your attention, try running a cost of delay analysis , which considers how much potential revenue you lose by waiting. This comparison between timelines and impact can help you identify which projects have the most potential payoff.
No matter which user research topic you pursue, simplify the question you hope the research will answer.
Josh Morales, Lead Product Researcher here at Hotjar, says, “Normally the first research question is too generic, packed with topics to research and not too well informed with the information available. The first thing is to bulletproof the research question by simplifying it, break it into pieces, and then prioritize the right question.”
Clarifying your user research project’s why helps you:
Communicate the importance of the task at hand:
set yourself up to win team and stakeholder buy-in by clearly explaining the purpose of your user research project. Include expected outcomes, potential impact, and the results of your cost of delay analysis. Oh, and… skip the jargon.
Decide which testing methods to use and what metrics to focus on:
when you know the purpose of your user research and have identified potential impact and expected outcomes, you'll have a better idea of how to measure success, and which key results to share with your team.
In a perfect world, your research projects would fit nicely within your company’s sprints. You could even create an annual research roadmap like the one Aly Abel shares here :
Laying out all of your research projects this way makes it easier to ensure you have a mix of topics and project sizes, and helps you align with company-wide goals or OKRs.
Reality isn’t always so cut and dry, though.
If you can't align your research with sprints, you may have to rethink what it means to be done —instead of reporting on a final research project, share new findings like early conclusions or further questions you want to explore.
Hotjar gives you product experience insights to help you empathize with and understand your users.
Now you have a user research goal in mind, you need to decide how to reach it and which user testing tools will get you there.
Here's how to choose the right technique based on your goal:
The best research method for your project could be a blend of approaches. Quantitative research uses numerical data to let you know what is happening, while non-numerical insights like user feedback from qualitative research tell you why it happens.
To get a well-rounded picture of what’s happening on your site and in your product, use quantitative and qualitative data together .
💡 Pro tip: to get more comprehensive user and product experience (PX) insights, combine research tools like Google Analytics and Hotjar .
Different research methods and tools each bring something unique to the table, and combining different types of data broadens your view so you don’t miss the context of any UX or PX issues.
Here are three ways quantitative and qualitative data work well for user research projects:
By learning why users behave a certain way in your product, you can understand what’s working—or what could be improved by your product management team.
For example, imagine you want to figure out what’s holding people back from starting a free trial. You can look at scroll heatmaps of your landing page to find out what information most people are seeing—or missing.
Then, you can use an open-ended question survey to ask users whether they have questions before starting a free trial. Their responses can help you decide where clarity, customer education, or different positioning is needed.
Let’s say web analytics data tells you the session duration for a particular page is low, and at the same time you've noticed more incomplete signups than usual from the same page. You could assume those two metrics are connected… but how can you be sure?
Start your research by watching session recording s to see how users interact with and experience the page and at what point they exit. Recordings can reveal broken elements or other UX issues that are driving people away, which you can use as the basis for customer interviews to dig deeper into product and user experience.
To truly understand user segments, you have to go beyond demographics to learn their preferences and motivations.
To kick off user segment research, you can conduct a heatmap analysis to compare what catches different users' attention. When you see that certain elements are getting more attention than others, use an Incoming Feedback widget to let users share their opinions and comments—in their own words—on the elements in question.
🤔 How well do you know your users? Customer personas used to be rooted in demographics like age and ethnicity. We know that humans are much more complex than that, though.
To really understand why your customers choose you, consider these psychographic factors during your user research:
👉 Read more: learn how to use psychographics and personas to get to the truth about why people buy.
When you’re planning research, start with your ideal scenario . What tests would you like to conduct, and what questions do you have? Then, consider your constraints. You may have limited:
After you know your constraints, you can work backward from the ideal scenario to find a feasible middle ground.
For example, if you need to work out a conversion issue before a fast-approaching launch date, the impact of the research and resulting technical debt could warrant a higher budget and an all-hands-on-deck effort.
If, on the other hand, you want to monitor how user preferences change over time, you can conduct smaller research projects over the entire year to gain perspective.
How much are people going to care about information they weren't expecting or didn't ask for? If you wait to involve stakeholders until you've already finished your user research, you risk misalignment and low adoption of the outcome.
Let your team and stakeholders know early on in the process what you’re doing, why you’re doing it, and where the data is coming from.
💡 Remember: you can set yourself up to win stakeholder buy-in by clearly explaining the purpose of your user research project. Include:
Expected outcomes
Potential impact
Cost of delay analysis results
The point of user research is to answer questions and challenge assumptions about your users’ preferences, goals, and experiences.
So, now what? Uncovering user insights is one thing; actually putting them to use is where the real work (and payoff!) comes in.
Here are three quick tips to help you keep your eye on the insights, and make use of your user research:
Rather than conducting a ton of user research and evaluating everything at the end, take a phased approach: review data as you go , so you can decide whether a question is worth further exploration. You may find that you have enough information already to make a decision, or that research has brought up ten more questions.
What should you measure once you have research data?
It pays to align your metrics with team or department OKRs . For example, if your company wants to increase account upgrades, focus on ROI in your research. If you’re trying to build the case that a site redesign is in order, basing your usability testing metrics on things like error rate at a specific stage of the user journey can help.
After you’ve done the hard work of researching and analyzing user behavior through UX and PX insights, you have to translate your findings into an actionable report .
A mere write-up won't do. Turn your results into challenges to be solved, and involve the right people to work together on a solution. Showing how others can get involved generates awareness and gets the issue in front of the decision-makers.
User research is a mix of art and science, but one thing remains constant: the right tools will give you the in-depth insights you need .
Behavior analytics and product experience insights tools like Hotjar give you ways to discover, consolidate, and communicate user needs—and then make the changes that matter most.
Cosima has been an editor at SmashingMag since 2013. Whenever she’s not writing articles for the weekly Smashing Newsletter , she’s probably working on a … More about Cosima ↬
Weekly tips on front-end & UX . Trusted by 200,000+ folks.
This article has been kindly supported by our dear friends at Maze , the user research platform that empowers any company to build the right products faster by making user insights available at the speed of product development. Thank you!
How do product teams conduct user research today? How do they leverage user insights to make confident decisions and drive business growth? And what role does AI play? To learn more about the current state of user research and uncover the trends that will shape the user research landscape in 2024 and beyond , Maze surveyed over 1,200 product professionals between December 2023 and January 2024.
The Future of User Research Report summarized the data into three key trends that provide precious insights into an industry undergoing significant changes . Let’s take a closer look at the main findings from the report.
62% of respondents who took the Future of User Research survey said the demand for user research has increased in the past 12 months. Industry trends like continuous product discovery and research democratization could be contributing to this growth, along with recent layoffs and reorganizations in the tech industry.
Emma Craig, Head of UX Research at Miro, sees one reason for this increase in the uncertain times we’re living in. Under pressure to beat the competition, she sensed a “shift towards more risk-averse attitudes, where organizations feel they need to ‘get it right’ the first time.” By conducting user research, organizations can mitigate risk and clarify the strategy of their business or product.
As the Future of User Research report found out, organizations are leveraging research to make decisions across the entire product development lifecycle . The main consumers of research are design (86%) and product (83%) teams, but it’s also marketing, executive teams, engineering, data, customer support, and sales who rely on the results from user research to inform their decision-making.
As Roberta Dombrowski, Research Partner at Maze, points out:
“At its core, research is about learning. We learn to ensure that we’re building products and services that meet the needs of our customers. The more we invest in growing our research practices and team, the higher our likelihood of meeting these needs.”
As it turns out, the effort of conducting user research on a regular basis pays off. 85% of respondents said that user research improved their product’s usability , 58% saw an increase in customer satisfaction , and 44% in customer engagement .
Connecting research insights to business outcomes remains a key challenge, though. While awareness for measuring research impact is growing (73% of respondents track the impact of their research), 41% reported they find it challenging to translate research insights into measurable business outcomes . Other significant challenges teams face are time and bandwidth constraints (62%) and recruiting the right participants (60%).
With the demand for user research growing, product teams need to find ways to expand their research initiatives. 75% of the respondents in the Maze survey are planning to scale research in the next year by increasing the number of research studies, leveraging AI tools, and providing training to promote research democratization.
Janelle Ward, Founder of Janelle Ward Insights, sees great potential in growing research practices, as an organization will grow a research mindset in tandem. She shares:
“Not only will external benefits like competitive advantage come into play, but employees inside the organization will also better understand how and why important business decisions are made, resulting in more transparency from leadership and a happier and more thriving work culture for everyone.”
Research democratization involves empowering different teams to run research and get access to the insights they need to make confident decisions. The Future of User Research Report shows that in addition to researchers, product designers (61%), product managers (38%), and marketers (17%) conduct user research at their companies to inform their decision-making.
Teams with a democratized research culture reported a greater impact on decision-making. They are 2× more likely to report that user research influences strategic decisions , 1.8× more likely to state that it impacts product decisions, and 1.5× more likely to express that it inspires new product opportunities.
Now, if more people are conducting user research in an organization, does this mark the end of the user researcher role? Not at all. Scaling research through democratization doesn’t mean anyone can do any type of research. You’ll need the proper checks and balances to allow everyone to participate in research responsibly and effectively. The role is shifting from a purely technical to an educational role where user researchers become responsible for guiding the organization in its learning and curiosity.
To guarantee data quality and accuracy, user researchers can train partners on research methods and best practices and give them hands-on experience before they start their own research projects. This can involve having them shadow a researcher during a project, holding mock interviews, or leading collaborative analysis workshops.
Democratizing user research also means that UX researchers can open up time to focus on more complex research initiatives . While tactical research, such as usability testing, can be delegated to designers and product managers, UX researchers can conduct foundational studies to inform the product and business strategy.
It’s also interesting to see which tools and techniques product teams use to gather user insights. Maze (46%), Hotjar (26%), and UserTesting (24%) are the most widely used user research tools. When it comes to user research methods, product teams mostly turn to user interviews (89%), usability testing (85%), surveys (82%), and concept testing (56%).
According to Morgan Mullen, Lead UX Researcher at User Interviews, a factor to consider is the type of projects teams conduct. Most teams don’t change their information architecture regularly, which requires tree testing or card sorting. But they’re likely launching new features often, making usability testing a more popular research method.
AI is reshaping how we work in countless ways, and user research is no exception. According to the Future of User Research Report, 44% of product teams are already using AI tools to run research and an additional 41% say they would like to adopt AI tools in the future.
ChatGPT is the most widely-used AI tool for conducting research (82%), followed by Miro AI (20%), Notion AI (18%), and Gemini (15%). The most commonly used research tools with AI features are Maze AI (15%), UserTesting AI (9%), and Hotjar AI (5%).
The tactical aspect of research is where AI truly shines. More than 60% of respondents use AI to analyze user research data , 54% for transcription , 48% for generating research questions, and 45% for synthesis and reporting . By outsourcing these tasks to artificial intelligence, respondents reported that their team efficiency improved (56%) and turnaround time for research projects decreased (50%) — freeing up more time to focus on the human and strategic side of research (35%).
While AI is great at tackling time-consuming, tactical tasks, it is not a replacement for a skilled researcher. As Kate Pazoles, Head of Flex User Research at Twilio, points out, we can think of AI as an assistant. The value lies in connecting the dots and uncovering insights with a level of nuance that only UX researchers possess.
Jonathan Widawski, co-founder and CEO at Maze, sums up the growing role that AI plays in user research as follows:
“AI will be able to support the entire research process, from data collection to analysis. With automation powering most of the tactical aspects, a company’s ability to build products fast is no longer a differentiating factor. The key now lies in a company’s ability to build the right product — and research is the power behind all of this.”
With teams adopting a democratized user research culture and AI tools on the rise, the user researcher’s role is shifting towards that of a strategic partner for the organization .
Instead of gatekeeping their knowledge, user researchers can become facilitators and educate different teams on how to engage with customers and use those insights to make better decisions. By doing so, they help ensure research quality and accuracy conducted by non-researchers, while opening up time to focus on more complex, strategic research . Adopting a research mindset also helps teams value user research more and foster a happier, thriving work culture . A win-win for the organization, its employees, and customers.
If you’d like more data and insights, read the full Future of User Research Report by Maze here .
UX Research is an exciting and fast-moving heuristic approach based on user needs and behavior. It combines methodologies, tools and the goal of putting user experience at strategic level for organizations of all sizes. In this UX research guide, we will look together at topics such as:
So, if you want to make user experience an asset for your projects, your business or your career, follow the guide.
How can you make ux research work for you, definitions: ux research, user research, ux design.
In this chapter, we will answer some fundamental questions. What is UX Research, what are its origins and how does it differ from its cousins such as UX Design or user testing?
For the record, UX or User eXperience, groups together approaches that aim to capture the user's point of view about a product or service, as opposed to the sole point of view of the designer of this experience. They will thus enable us to understand - UX research - or influence - UX design - user behavior.
UX Research aims to understand the expectations, reluctance and behavior of a target population towards a product or service over time. This may be existing or future, in concept or prototype form. The aim will be to improve its adoption and by extension its value to the organization offering it. For example, you may wish to improve the conversion rate of an e-commerce site.
It relies on qualitative and quantitative research methodologies . Historically linked to software and then to the Internet, UX Research can nevertheless be applied more broadly to any user experience, for example in a store. In this respect, it is similar to heuristics, the art of discovery or, more prosaically, the method of solving problems on the basis of incomplete knowledge.
Symbolically, UX Research and UX Design were born in 1993. While behaviors similar to listening to users may have existed from time immemorial, the need to make this a more systematic approach has emerged more recently:
One personality, Don Norman , embodies the emergence of UX Design and UX Research:
Credit: Andy Ng, 2020
Also in 1993, Jakob Nielsen , together with Thomas K. Landauer, promoted a more scientific approach to user behavior with an academic publication in April 1993. One of the things that history has learnt from their research is that it only takes five users to discover 80% of a website's problems . It is actually more subtle than that, and we have a copy if you're interested in learning more!
In English, we talk about user research, UX research or even user experience research. The French translation was initially literal with "recherche utilisateur" (user research) and "recherche UX" (UX research), but French also came to use "étude UX" (UX study), "recherche utilisateur UX" (UX user research - which may well be a tautology?), and eventually "stratégie UX" (UX strategy).
With these various terms, you can take your pick, even though the safest bet would be to use the term "UX Research" as a priority, as it is a direct correlate to its alter ego, UX Design. And finally, UX is an abbreviation of User Experience, or "expérience utilisateur" in French. These 3 terms are also interchangeable.
UX Research and UX Design are closely linked. In two words: understanding vs. creating. While UX design seeks to influence behavior, UX research provides the levers for that influence.
In essence, UX Design draws on the user's point of view , as it aims for a design that is as easy to use as possible. UX research asks the questions that will provide the keys to user needs and behavior. While it is possible on a small scale for the same person to carry both responsibilities, this quickly becomes counterproductive:
Peter Merholz, renowned designer and author of books on UX design, shows that there are too many skills expected of a designer today for one person to master them all:
User testing is one of the historical components of UX Research and one of its main contributions. Supporting the design of a new interface with one or more phases of user testing is at the heart of UX Design. However, UX Research now goes much further:
Market research, testing, measurement: from a distance, UX Research seems very similar to market research. In practice, however, traditional research institutes are rarely found on these projects. So what makes them different?
'Design thinking' is a UX design approach that focuses on both innovation and user needs . UX methods will therefore often be used. However, design thinking is often associated with a project with a defined beginning and an end , where the value of UX research grows with time and the number of projects covered. In summary, design thinking will borrow aspects of testing and research for a specific need, whereas UX Research will systematize these methods at the enterprise level.
The following example shows a study process built on the double diamond logic, often found in design thinking. We see an alternation of divergence and convergence phases to which we have associated in this example different methodologies: user interviews, focus groups, online survey and remote user testing .
UX research asks questions to understand and act in response to the expectations expressed or not by users. This will allow us to build or improve an offering: product, website, mobile application, service design. Through precise research, testing and analytics methodologies , it provides the insights - or customer truths - that will influence the design of this offer, from ideation to UX design and finally to UI design .
In this section, we will look at some examples of research objectives and then focus on what makes UX research a discipline: its strategic, omnichannel aims, beyond individual projects and countries. Our UX research video, beyond user testing, details these different topics.
Some examples of the goals of UX research are:
The fields of application are very broad , although they can be grouped into two main categories: exploring possibilities and auditing an existing or planned execution . Beyond that, your imagination is the only limit to finding research topics that can change the future of your business. Don't forget that UX research has inherited both the advances of the last 20 years in UX analytics and, more importantly, over a century of social sciences - most notably psychology and sociology. The key is to ask the right questions .
For example, let's say you are working on a connected object to measure your sleep. Will you be satisfied with testing existing iOS / Android apps or will you go further to understand what science tells us about sleep and even dreams? In the first case, you'll do user testing and that's a solid start. In the second, you will do UX research with the aim of opening up new possibilities for your business.
In the classic approach to IT projects, start and especially end dates are used to limit the scope of action. This could be the launch of a website or the roll-out of a new version of a mobile application. In the product approach, we will seek to improve continuously over time. There will be staging points but no finish line.
UX research serves both of these purposes but ideally promotes a continuous optimization process , asking questions and learning all the time. In addition, the UX approach seeks to capitalize on the knowledge gained from past projects and improvements to save time on new actions.
Operationally, UX methods are organized around a user roadmap equivalent to the product roadmap. Over time, atomic research aims to organize this systematic review of learnings by enabling traceability of learnings and their reconciliation between projects and over time.
In the 90s when UX design emerged, this subject was strictly limited to HMIs or human-machine interfaces, especially on computer software. Even the Internet was in its infancy, not to mention mobile applications.
Nowadays, digital is everywhere and any user journey, whether in a shop or in contact with customer services, may be supported with a digital element on a smartphone, a computer, a connected terminal, etc.
The optimization of this user experience must therefore be understood in its entirety , both within the interfaces and outside them! From this point of view, the UX research approach is likely to influence not only UI design but also the design of services and all the components of the experience.
How can we assess the value of the user experience? What are the components? What is the R.O.I. or return on investment? This is a very wide subject. It ranges from the classic conversion rate measured via Google analytics to the societal impact of brand experiences. We shared with the UX community on this topic in a video webinar by detailing the 5 types of UX performance indicators:
Originally part of operational optimization, UX research is now tending to focus on more strategic insights:
Back in 2014, Juan Manuel Carraro proposed the Keikendo model to assess the UX maturity of each company. It has 5 stages of development:
A word to conclude this section on international UX Research as many brands will be considering their success at a global level. To do this, they will need to take into account country specificities. As part of their training, UX Researchers learn how to manage this diversity, although they will ideally call on local experts. The latter will be able to ask the right questions and identify their local cultural specificities. In this type of international study, the challenge is to distinguish between local specificities and the results of the study - regardless of the country. Here are some examples of verbatims where the original language was English, Portuguese, German, Chinese and Japanese:
The methodologies associated with UX research are really very valuable! They enable analysis of user needs and behavior. In this part we have a good program:
For more detailed information on cognitive biases, interviewing and facilitation techniques, please see our detailed guide to qualitative research .
Whether for UX research or market research, mixing qualitative and quantitative approaches is often a key success factor . In the case of UX research, these two approaches answer complementary questions:
The order in which you answer these two questions - and therefore the order of the methods - is important and should be determined on a case-by-case basis depending on your objectives.
Finally, be aware that there are possible exceptions, such as the possibility of constructing qualitative surveys if, for example, it proves complex to speak directly with the users you wish to interview.
Now that we have started to explore what it is possible to achieve through listening to users, let's see how to make it a success:
Start early and regularly! Integrating client knowledge from the beginning of your project gives you the necessary leeway to make changes. Making UX design changes at the wireframe stage will cost you:
Regularly checking in with users means inviting them to the table for your project and never losing sight of their point of view. This is also what fuels UX Design! The organization of the various UX studies can be done via a user roadmap , which is a real counterpart to the product roadmap.
The time required to organize a study varies greatly : from a few hours for guerrilla testing to several months for a study involving several methodologies and countries. However, a study typically takes 3-6 weeks to complete:
There are a wide range of providers of user testing and research. As an agency specializing in UX Research, our view is necessarily biased, but here is a first overview:
The sample size depends primarily on whether you are using a qualitative or quantitative approach:
Typically, when launching a new offering, knowing who will buy your product or service will lead to a series of key questions:
A mix of qualitative and quantitative research, for example individual interviews followed by an online survey, will allow these different segments to be identified and measured precisely. Personas or - to be more exact - archetypes can then be deduced, as in this example related to the job seeker market:
Perhaps most interestingly, we will be able to deduce from these archetypes what will or will not interest them in your product or service. Here is a second example of this insightful analysis in the mobility market:
Have you always dreamed of leading focus groups or analysing tests for the next hot website? Being a UX Researcher is an up and coming, varied and exciting profession that gives free rein to your listening and analytical skills . While the job is technical with advanced hard skills, it is more likely to be your soft skills that will make the difference with employers. In this section we will look at:
The UX researcher will attempt to hear - in the broadest sense - and understand the expectations and stumbling blocks of users , whether they are prospects, customers, employees, etc. This is why the UX consultant first develops soft skills, primarily listening and analysis. It's a job where you learn to ask questions including questioning yourself in all humility.
It also gives a long-term - and international - role to market research, user testing and behavioral analysis. This is why its projects have become more strategic since the insights discovered from project to project have the potential to feed into strategic opportunities for the company . You will therefore also have an evangelizing and influencing role to fully champion the voice of users.
Of course, it comes with technical skills but the catalogue of methodologies and tools available is constantly growing so there is no expectation of already having mastered everything . Rather, part of the expertise will be to know how to call on others to focus on how to approach research projects and their framing.
The key to UX research is twofold:
This learning is done through experience, especially as the profession is still young and you will rarely have an expert manager to discuss it with. Don't forget to call on the UX community, which is very supportive!
Let's face it, there is no specific degree dedicated to UX Research today and there are people with a variety of backgrounds on the market. This is good because UX studies draw from multiple disciplines. These backgrounds can be in both initial training and professional retraining . There are three main archetypes:
In any case, keep in mind that, like any digital topic, this environment is evolving extremely fast. Being proactively curious and enjoying change is a prerequisite for your career.
You will find courses called UX research or user research in the UX Design courses at the Gobelins or Multimedia colleges, for example. Other more general training programs may also offer courses.
Then, an internship or a training contract will enable you to gain practical experience setting up user tests, focus groups, card sorting, Google analytics...
In preparation for a career change, you can experiment with simplified research methodologies in your current job. This is the merit of simple methods such as card sorting and above all guerrilla approaches - guerrilla testing, guerrilla UX, UX analytics. They allow you to carry out field studies, certainly on a smaller scale, but they are also less costly for your employer to deploy.
For contacts, you will find peer networks open to coaching on LinkedIn like UX design family, events organized by Flupa, in groups on Slack or podcasts full of feedback.
UX research was born in the United States in the wake of UX design. And, just as we have caught up in Europe on UX design, the UX research side is growing fast but is very immature. Opportunities will increase in the coming years, but the same job title can cover very different realities.
Salaries are close to those of UX designers, with comfortable entry-level salaries. On the other hand, since the profession is new, solid backgrounds with more than 5-6 years of experience are rarer and it is quickly apparent there is a lack of data on the most senior levels. Here is a 2021 benchmark of salaries, in France, for the profession based on similar functions:
Sources: Iergo, Urban Linker, Michael Page, LinkedIn, Silkhom, Digirocks, WTTJ, Glassdoor, Hays...
This is an industry where there is parity between men and women, much more so than in design, which still tends to be fairly male-dominated.
Do you like understanding? Focus more on UX research. Do you enjoy creating? UX UI design is for you. Then the choice between UX and UI is made at a more detailed level of your experience. Like for a fullstack developer, it is possible to combine these three professions within certain limits. However, at the beginning of a career, it helps to understand how they work together.
But for the sake of your projects, this quickly becomes counterproductive because of the same cognitive biases that you study as a researcher. We are all susceptible to confirmation bias, which unconsciously leads us to confirm what we believe rather than to understand neutrally.
It is therefore more than essential to separate creation from understanding . For a UI designer, this can be compounded by the frustration of leaving the design behind. UX research is more about observing than doing.
Other careers will emerge but are still difficult to ascertain as the discipline is very new.
Now it's up to you. You have the first key facts on how make UX research an asset for your projects, your organization, your job. And if you need some guidance on how to do this, the entire Ferpection team behind this guide is here to help you with your UX audits , online user testing and focus groups to name just a few examples.
Call us for more information at +33 1 76 40 00 15 or meet our consultants in:
Unlock the full potential of your product’s UX with the power of user research. Find out how data analytics, user reviews, customer interviews, market research, and usability testing can transform design solutions to exceed your audience’s expectations.
Frauke is a senior UX designer and user researcher with a background in psychology. Her ability to craft user-centric design solutions comes from years of experience in UX research and a deep understanding of what users need and want. She has worked with companies such as Swisscom, Telus, and Crealogix.
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Imagine this—you’ve just landed a project where the client needs a redesign of their website and app.
Client: “We’d like to improve the user experience. We want our customers to fall in love with our product—it has to be jaw-dropping!”
Here’s the good news: At least this client is aware of user experience (UX), cares about their customers’ needs , and sees the value in investing in a great user experience. They’ve asked for an expert with UX skills to help… but do they really understand what it means to deliver an exceptional user experience?
UX is more than following a collection of rules and heuristics in the product design process. As the name suggests, it 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, their tasks, and context, which are unique for each product.
The UX expert will be familiar with the maxim, it all starts with knowing the user , but may very quickly discover that many clients have common misconceptions about UX.
A UX expert knows that user experience research will help drive the redesign and usually begins by asking about the users: Who are they? What do they do? What do they want? What are some of their pain points?
Unfortunately, not every client or stakeholder will immediately recognize the value of doing user research. What happens when their response is that they think it’s a waste of time and/or money?
It’s the responsibility of UX specialists to educate and convince clients that good UX is next to impossible if it is not preceded by good user research .
You cannot create a great user experience without understanding target users or their needs. User research is one of the most essential components of user experience design.
User research will help shape your product and define the guidelines for delivering a good experience for your users. By not spending any time on research and basing design decisions on assumptions, you risk not meeting your users’ needs effectively and efficiently.
The UX expert should act as an advocate for effective design and never simply accept the argument that there is no time or money for user research.
This is how senior UX architect Jim Ross of UXmatters sees it:
Creating something without knowing users and their needs is a huge risk that often leads to a poorly designed solution and, ultimately, results in far higher costs and sometimes negative consequences.
What problem is the product trying to solve? When designing and refining a product, everything should lead back to the target user.
Sometimes, even the worst ideas can seem great at first, especially when the deeper nuances of human behavior are not accounted for or tested against. Take Google Glass—originally released as a consumer gadget, the high-tech wearable failed to achieve widespread adoption. While the technical functionalities worked as expected, the lack of a clear user need and the device’s off-putting presence on the wearer’s face hint at anemic contextual user research.
Skipping user research will often result in “featurities,” decisions that are driven by technical possibilities and not filtered by user goals. It’s the designer’s responsibility to validate every feature idea against the core use case.
A great example of “featurette” design gone wild is the common television remote control. They are unintuitive and covered with more than a dozen buttons for which your average user has no clue as to their function, which results in annoyance and a frustrating user experience.
The same mistakes are often made in the digital world when the end user’s goals are not considered, understood, or designed for, such as frustrating user flows that add friction or confusion to the user’s experience or too many fields in a form that asks for too much information.
Instead of encouraging habitual use through a quality user experience, poorly designed and implemented interfaces are more likely to scare off potential users—and the most effective way to understand your users is to conduct user research .
The user research process will expand the timeline a little and its costs will vary , but both time and costs can be minimized. One option is to start with existing, easy to access sources of information about user behavior. Some of these methods may include:
Whether you need to collect quantitative data or qualitative data will inform which type of research method to employ. It’s advisable to draw from more than one research method and synthesize the findings. Let’s take a closer look at some sources for existing information.
If you are working with an existing product, your client may have some data and insights about its use. User data analytics is a user research method designed to obtain a good overview about general product usage: how many visitors are coming to the website, what pages are most visited, how many people download the app and from which geo area, where visitors come from, when they leave, how much time they spend and where… and so on.
By looking at user data analytics, a savvy researcher can begin to draw some conclusions about what users are doing—or not doing—and why. Looking at the abandon rate on sign-ups, for example, can point to a problem in the form design. Analyzing scroll-depth and navigation paths can hint at which content is most compelling to visitors.
However, quantitative data can only paint part of the picture. It doesn’t tell you how the experience feels to a user, what users think about your service, or why they are spending time on your website. On its own, data analytics can tell you when a user leaves but may only partially hint at the reason.
For example, the data indicates that users are spending a lot of time on a specific page. What it doesn’t explain is why . It might be because the content is compelling, which means users found what they were looking for. On the other hand, it could be an indication that users are looking for something they cannot find.
Data analytics are a good starting point, but further qualitative data is needed in order to support the interpretation of the statistics.
Your client’s product may have already received some user feedback. There might be a section for feedback or ratings on the website itself, and external sources may also be available. People might have talked about it in blog posts or discussion boards or may have given app reviews in an app store. Check different sources to get an idea of what users are saying.
However, it’s important to be aware of the limitations when employing these kinds of qualitative research methods. People tend to leave reviews and ratings about negative experiences—don’t take this as a reason to shy away from user reviews or to ignore feedback.
Instead, try to look for patterns in the responses and repeated themes in comments. Here are a few tips for making the most from user input:
User reviews are a good source for collecting information on recurring problems and frustrations, but they won’t give you an entirely objective view of what users think about your product.
Clients may have a customer support hotline or salespeople who are in touch with the user base already. This is a good resource to get a better understanding of what customers are struggling with, what kind of questions they have, and what features/functionality they are missing.
Setting up a couple of quick interviews with call center agents and even shadowing some of their calls will allow you to collect helpful data without investing too much time or money. Conducting a focus group is also a great way to get a group of users to discuss and expand on the information gathered through customer support. Launching a survey is yet another inexpensive method for encouraging users to supply feedback.
Customer support provides a good opportunity to learn about potential areas for improvement, but you will still have to dive deeper to get detailed information about a product’s intrinsic problems.
The client may have some basic information about the customer base, such as accurate demographic information or a good understanding of different market segments. This information is valuable in order to understand some of the factors behind a buying decision.
By considering the information reported by market research, a UX expert can get a better picture of a variety of factors in user behaviors. This research helps pose questions around how the target user’s age or geographic location may factor into their understanding and use of a product.
Market research is a good source of information for a better understanding of how the client thinks, what their marketing goals are, and what their market looks like. It should be considered alongside other user experience research in order to draw a conclusion.
If you are lucky, your client might have done some usability tests and gained insights about what users like or dislike about the product. This data will help you understand how people are using the product and what the current experience looks like.
It is not quantitative research, and therefore you won’t get any numbers and statistics, but it helps you identify major problems and gives you a better understanding of how your user group interprets your interface.
One highly informative method for assessing a product’s usability is by conducting a heuristic analysis , although this might be a hard sell for some clients. Completing a task analysis exercise may be a lower overhead qualitative research methodology for usability testing.
Activities like card sorting can help you understand how users organize and prioritize information. Conducting contextual interviews while watching a user navigate your product in the appropriate environment will help you gain valuable insight into their thought process.
Usability tests are another good way of identifying key problem areas in a product. There is also the option to do some quick remote testing sessions by using services such as usertesting.com to gather data.
The budget might be small and the timeline tight, but ignoring user research will eventually come back to haunt you. Help your clients avoid costly pitfalls by making them aware of the benefits of user research.
A client may insist that user research is not necessary because they are relying on, and trusting in, your skills as a UX expert. As a UX designer, you need to view user research as part of your toolkit, just like a craftsman’s hammer or saw. It helps you apply your expertise in practice, and just as a carpenter can’t work without a saw, you can’t do your job without your tools.
No matter how much expertise you have as a designer, there are no generic solutions. UX design solutions always depend on the user group, the device, and the context of use, so it’s essential that they be defined and understood for every product respectively.
You are the UX design expert, but you are not the user . User research helps to provide an unbiased view ; to learn about the users’ natural language, their knowledge, mental models, and their life context.
Another argument against conducting user research is that the product will succeed by “following best practices.” Best practices originate from design decisions in a specific context, but the digital industry is evolving at a rapid pace. Design trends and best practice recommendations change constantly, and there is no fixed book of rules.
Product designers need to be able to adjust and adapt to changes in trends, user behavior, and technology. Those decisions should be made based on user experience research, not solely on practices employed by others for different projects.
Some clients or stakeholders may insist that they know all there is to know about their users, and therefore user research is unnecessary. However, without a clear picture of what the users are doing and why, a large piece of the puzzle is missing.
Inviting your client to a user needs discovery session will help them observe how users are using their product. Start with small tests and use remote usability testing tools such as usertesting.com to get some quick insights and videos of users in action. Your client may be surprised at the results.
The work product that comes from these exercises might be a user journey map or a user task flow. Aim for a visualized document that identifies unresolved questions so you can define areas that need more research.
Some clients may point to personas as a stand-in for user research. Personas are a good tool for making a target user group more tangible and for surfacing needs, such as building key user task flows and how that might vary for different groups. But personas are intended for identifying a target user base and to help the product team gain empathy for the user.
Personas will help you understand who the users of the product are but not how they will use the product. They will outline certain attributes, behaviors and motivations, goals, and needs but will not give the UX researcher habits, culture, or social context.
To design a robust product, it’s necessary to develop a better understanding of the actual usage. Designers need to know how people work with the product, what they do with it, and when they get frustrated. Ask for further details about user stories and task flows to make use of personas.
One universally-dreaded argument against research is that there isn’t enough in the budget. When that’s the case, a resourceful designer gets creative. The above-mentioned sources of information about user behavior (under the heading: “Start User Research with Existing Sources of Information”) should provide a good starting point for sharing ideas with your client even if their budget is tight. The results of these user research methods will inform and focus any further user research you deem necessary.
Uninformed decisions that lead to mistakes can end up being more costly than the price of doing good research. Make your client aware of the risks if product design decisions are made without a good understanding of the user.
User experience is still a bit of a “mystery” in many circles, and non-designers may not know what user research is. Everybody talks about user experience, yet it is hard to define, as a good experience is in the eye of every user.
Research is, therefore, key to gaining a sound understanding of the context, the user goals, and the thinking necessary for designing a truly exceptional user experience.
The more transparent you are with your work process, the better your client will understand your tools and the information you need to make good decisions.
While some clients may not be open to the idea of using additional resources on research, it is necessary for user experience specialists to explain the value of user research and to argue for further research when necessary. To accomplish this, UX designers will require negotiating skills to make their case. Help answer the question: Why is UX important?
Luckily, proper user research is beneficial to clients and UX designers, so convincing clients to divert more resources towards research should be achievable in most situations. Reluctant clients may be swayed when shown cost-effective user-research methods, and hopefully, some of the tips and resources outlined in this article will help a designer make his or her case, even if money is tight.
Let us know what you think! Please leave your thoughts, comments, and feedback below.
What does a user experience researcher do.
A user experience researcher leverages quantitative and qualitative research methodologies to understand and optimize a product’s usability.
Qualitative research is any research methodology that delivers qualitative results and insights beyond numerical and quantitative data. Qualitative research methods include customer interviews, task analysis, and user testing.
Guerrilla research is a low-cost research methodology that usually involves conducting user research outside of the office or lab setting—approaching potential users in places like bookstores and coffee shops.
User research is a field of UX design where designers employ various methodologies to better understand the needs and pain points of users in order to improve a product.
The five steps in conducting user research are to assess the existing product, investigate any existing data (such as customer feedback reports), and develop a hypothesis. From there, a researcher will conduct appropriate user research methodologies and draw conclusions based on those results.
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A comprehensive guide on how to identify customers for research, ask right questions, and communicate insights.
Vikram Goyal
UX Collective
My favorite part of being a Product Manager is talking to users.
After becoming a product manager, I took to user research as a fish takes to water.
Building a product used by people across geographies and industries helped me connect with people from diverse backgrounds and at different stages of their career. Such conversations are quite enlightening and helped me understand the impact of my product.
In this article I want to discuss everything I learnt about user research — different types of user research, identifying users to talk to, questions to ask them, communicating insights, quick ways to do usability testing and gathering insights from data already available to you.
Let’s dive in.
Depending on the purpose, user research could be either of the following:
Generative user research — The purpose is to understand your users better — what they do, what are their goals, what are their expectations & pain points ( in the context of the product you are building ).
Evaluative user research — It helps you evaluate the usability of a particular feature or a workflow (eg. onboarding, checkout etc). It could be done either with a design prototype or with the live version of the product. It helps you understand the following about the product/feature — how easy it is to use, what do users like/dislike, what are the information & design gaps.
As a Product manager, you will do both generative and evaluative research.
Lot of people are not able to find relevant users who will be interested in connecting and sharing insights. A lot of time seems to be wasted in simply finding the users to talk to.
My advice here would be to:
Using the above, you can hopefully avoid the problem of “not finding users to talk to.”
As product managers, you should also have access to your product analytics and CRM tool so that you can quickly filter out customers based on segment, use case, company size, feature usage etc. Doing this reduces dependence on others for finding the target customers to reach out to, thereby making the entire interview scheduling process faster.
In case you are doing a direct outreach via email, share context and the questions you may have. Include a meeting scheduler link as well so that users can book a meeting as per their convenience.
If I am reaching out for feedback on a particular feature, I tend to include 2-3 questions in the email itself. The user is free to respond to them via email or book a meeting with me.
Asking the right questions is everything. It is the single most important factor in determining the richness of the insights you capture.
Some useful tips to remember
Here’s a detailed guide I have previously written on conducting insightful interviews — Link to guide
Record all user interviews you do. This way, any team member (including you) can refer back to them in the future.
Don’t worry too much about taking meeting notes. This distracts you from asking good follow up questions to the user. Every recording software automatically generates interview transcripts and summaries — So, rely on this technology for notes.
While summarizing interviews, I break it into the following parts:
Communicating insights is as important as conducting interviews to capture insights.
Useful tips to remember while communicating insights :
As mentioned above, PMs need to do evaluative research as well. This is useful for testing out the usability of your upcoming features or existing workflows.
Usability testing is a way to find out gaps in Information architecture, UX copy or the visual design in an upcoming feature or the existing product.
The best practice here is to have a clickable design prototype. ( Figma makes it very easy to create clickable design prototypes )
Here’s the process and some tips to do this well:
Sometimes, you are running short of time. And can’t seem to find relevant users to test your feature.
In such cases, take the support of your customer success and sales teams.
Share the design with them and ask for their feedback —This can help you identify gaps and usability issues. While its not the perfect method for testing, something is better than nothing.
You can’t possibly talk to every customer and prospect that’s out there.
A lot of insights can be gleaned from simply listening in to conversations that your customers/prospects have with your sales and account management team.
Here’s the process I follow
Reading these summaries on a regular basis arms you with wealth of insights. These can be used for informing prioritization and strategy decisions.
That’s all on how I drive user research to understand what to build and evaluate what we are building!
Understanding your users deeply and knowing what they want is a superpower indeed.
User research helps you consistently build the right things and solve the right user problems.
So, If you want to start getting things right, its time to get talking and researching.
Currently PM@Airmeet — building a kick-ass product for conducting remote events and conferences.
Text to speech
When designers perform user interviews, field observations, or usability tests, they gather tons of notes and data to help inform design decisions and recommendations. But how do they make sense of so much qualitative data? Talking to customers is great, but most people walk away feeling overwhelmed by the sense of more information than they know what to do with. Learning how to properly analyze UX research helps turn raw data into insights and action.
User research analysis is a vital part of any research process because it is the very act of making sense of what was learned so that informed recommendations can be made on behalf of customers or users.
As researchers conduct analysis, they’re spending time categorizing, classifying, and organizing the data they’ve gathered to directly inform what they’ll share as outcomes of the research and the key findings.
Our natural instinct is to believe we can remember everything we heard or saw in an interview. But following impulsive decisions made from raw notes and data can be misleading and dangerous. Recommendations based on a single data point can lead a team down the path of solving the wrong problem.
Further, doing so is simply reacting to data, not making sense of it. This can cause companies to focus on incremental improvements only and miss important opportunities to serve customers in more meaningful, innovative ways.
A great example of this is when we see teams sharing research findings like, “6 out of 10 people had difficulty signing in to our application.” On the surface, a reasonable recommendation could be to redesign the sign-in form. However, proper research analysis and finding the meaning behind what that data represents is when the real magic happens. Perhaps the reason people had trouble signing in was due to forgotten passwords. In this case, redesigning the sign in form wouldn’t necessarily solve this problem.
Performing the necessary analysis of user research data is an act of asking “why” the “6 out of 10 people had difficulty signing into the application.” Analysis transforms the research from raw data into insights and meaning.
Consider what Slack did with their sign-in process. Slack allows a user to sign in by manually typing their password or having a “magic link” sent to their email which the person simply needs to click from their inbox. They get signed in to their Slack team and get started.
Slack offers a magic link instead of asking users to type their password.
Slack emails a magic link within seconds that saves the user typing their password.
This decision wasn’t an accident; it came from a deep understanding of a customer pain point. That deep understanding came from making sense of user research data and not simply jumping to a conclusion. Slack’s example demonstrates the power of spending time in analyzing user research data to go beyond reacting to a single observation and instead understanding why those observations occurred.
Before the research begins.
Great analysis starts before research even begins. This happens by creating well-defined goals for the project, research, and product. Creating clear goals allows researchers to collect data in predefined themes to answer questions about how to meet those goals. This also allows them to create a set of tags (sometimes known as “codes”) to assign to notes and data as they conduct their research, speeding up analysis dramatically.
Before any research session begins, craft clear goals and questions that need to be answered by the research. Then brainstorm a list of tags or descriptors for each goal that will help identify notes and data that align to the goals of the research.
Researchers often tag or code data they gather in real time. This can be done multiple ways using spreadsheets, document highlighting or even a specialized research tool like Aurelius.
When taking notes in a spreadsheet, tags can be added to individual notes in an adjacent column and later turned into a “ rainbow spreadsheet .”
For teams physically located in the same space, an affinity diagram with sticky notes on the wall works well. Here, each note can be added to an individual sticky note with top level tags or themes grouped physically together.
A student stands in front of an affinity exercise on a whiteboard. Photo via Wikimedia
There are also software tools like Aurelius that help researchers tag and organize notes as they’re taken which also makes for quick viewing and analysis of those tags later.
View of analyzing notes and tags in Aurelius.
It’s also useful for teams to have a short debrief after each research participant or session to discuss what they learned. This keeps knowledge fresh, allows the team members to summarize what they’ve learned up to that point, and often exposes new themes or tags to use in collecting data from the remaining research sessions.
This is where most of the analysis happens. At this point researchers are reviewing all the notes they’ve taken to really figure out what patterns and insights exist. Most researchers will have a good idea of which tags, groups, and themes to focus on, especially if they’ve done a debrief after each session. It then becomes a matter of determining why those patterns and themes exist in order to create new knowledge and insight about their customers.
Tag notes and data as you collect it.
Tagging notes and data as they’re collected is a process of connecting those tags to research questions and the research questions back to the project or research goals. This way you can be confident in the tags and themes being created in real time. Here’s how to make the connection between tags, research questions and project goals.
Imagine the research goals for the project are:
From there, research questions can be formed such as:
From those questions, we can extract topics and themes. Since we’re researching the free trial, sign up process and general usability of that process, they become clear choices for tags. Also, since the research is meant to answer a question about whether or not potential customers understand the value of our product and free trial, this too provides a clear topic and tag we can use. So, useful tags based on those questions would be:
As the team conducts the research, they can tag notes and observations according to those themes that align to the high level goals and questions for the project. All of this highly increases the ease and effectiveness of research analysis later.
A common user research practice is for the team to debrief after each interview, usability test, or field study to discuss what was learned or observed. Doing this while also reviewing the notes and observations helps researchers hear the same information from a new perspective.
Let’s imagine the team found the following patterns while conducting their research:
This may help the researchers create new tags (or codes) for remaining sessions, such as:
Using these new tags adds another dimension to analysis and provides deeper meaning to patterns the team is finding. You can see how the combination of these tags and themes already begin to paint a picture of customer needs without any detailed notes!
Here are some good tips for knowing when to tag or code a note:
Once all the research is done, it’s time to dig in to find patterns and frequency across all the data gathered .
Step 1 – Review the notes, transcripts, and data for any relevant phrases, statements, and concepts that align to the research goals and questions.
Step 2 – Tag and code any remaining data that represents key activities, actions, concepts, statements, ideas and needs or desires from the customers who participated in the research.
Step 3 – Review those tags and codes to find relationships between them. A useful tip for this is to pay close attention to tags that have notes with multiple other tags. This often indicates a relationship between themes. Create new tags and groups where appropriate to review more specific subsets of the data. Continue this process until meaningful themes are exposed. Once that happens, ask questions like:
A key insight should answer one or more of your research questions and directly inform how to meet one or more of the established business goals. When sharing key insights, be sure to make a clear connection between one of the business goals, research questions and why the key insight is relevant to both. The most effective way of turning research into action is by helping teams make a connection between key insights and business outcomes.
There are three parts to creating a key insight from user research :
A key insight from the example project might be:
“Prospective customers are worried they might not have enough time to review our product during the free trial.” #right-time #signup-process #free-trial
This represents the pattern observed of customers mentioning the “right time” to sign up for a free trial and comparing the product to competitors. It also goes beyond sharing the quantitative data that those things occurred and offers a qualitative explanation of why they happened. All of this leads to clearer recommendations and the ability for other teams to take action on the research findings.
Creating key insights from the research in this way allows for the most effective sharing and reuse later. By providing supporting notes to each insight, stakeholders and others consuming the research findings can learn more detail about each key insight if they so choose.
Conducting detailed analysis of user research data helps teams clearly share what was learned to provide more actionable recommendations in design and product development.
Here are some tips for making user research analysis faster and easier on upcoming projects:
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Published: Aug 14, 2024, 8:25am
What is keyword research, how to do keyword research for seo in 5 steps, bottom line, frequently asked questions (faqs).
If you’re just getting started building a website or are upgrading it, you’re likely asking yourself how people will find it. Even if you’re selling the coolest, most innovative products on the internet, no one will know about them if they can’t get to your website. Keyword research is an essential part of ensuring the people looking for the information or services you offer can find them. Read on to learn more about how to get started with keyword research.
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Keyword research is an essential part of a larger SEO and digital marketing strategy. It is the process of researching and analyzing the terms and phrases your ideal audience and potential customers are looking up online to find the information they need.
When people want to find a product or service online, they generally start by typing a few words into a search engine. The results they find are the ones most relevant to the terms they looked for. As a business owner, your goal should be to rank highly for the keywords that represent the products and services you offer. But which ones are they? Conducting keyword research is how you figure this out.
Keyword research is also important because it can reveal marketing insights and customer trends, tell you what potential customers are interested in and help drive traffic to your website by curating your content and copy to this interest.
Keyword research starts generally and then gets more specific. Here are the main steps to take when starting your keyword research.
The first part of keyword research is brainstorming the very basic terms that are relevant to your business. This general list will come in handy later when you search for more targeted keywords. For example, say you are running an online jewelry company. An initial list of general keywords may look like this:
You’ll want to come up with five to 10 terms. Since this is only the first step in keyword research, don’t worry about making this list perfect or spending too much time on it.
Now that you have a starting point, it’s time to get more specific by adding relevant keywords. You can start drafting this list of more specific keywords by looking up the search terms in your original list. The idea is to get an understanding of how your customers think about the products or services you offer and what specific terms they are searching for to find what they need. For example, when you type “necklace” into a search engine, you may find the term “pendant” is often an associated term. That’s helpful information for keyword research and a term that can be included on your list.
While “necklaces” is a very general term, there are many more specific keywords. “Gold necklace,” “silver necklace” and “pearl necklace” are three examples that could be relevant for your website, depending on what you offer.
In SEO, there are short-tail keywords (keywords with one or two words) and long-tail keywords, which are full phrases or sentences. Long-tail keywords are typically easier to rank for since there’s usually less competition. Later, you’ll look at how difficult each term is to rank for. But for now, keep an eye out for long-tail keywords, or sentences people may be searching for related to your product or service.
As you write down more specific terms, you can look up these new terms to generate even more ideas for keywords and get even more specific. What are examples of some of the common keywords that come up when you search for “gold necklace”? Some terms you might come across include:
This is also a good time to look at what companies offering similar services or products are ranking for. There may be terms you haven’t considered, or this process may even inspire you to come up with new terms that you do not see online. As this is still the brainstorming phase, write down as many terms as you find or can come up with.
Later, you’ll look at these terms from a marketing strategy perspective and consider which ones are worth ranking for.
Remember long-tail keywords? Once you have a list of a few dozen keywords and phrases, you can expand your brainstorming by thinking about which long-tail keywords people might be searching for.
A few online tools can help with this.
Answer the Public is a helpful website to find out what people are searching for online, especially what questions they are asking. For example, if you type in “14k gold necklaces,” you’ll find dozens of popular questions people ask about this topic, such as “how much are 14k gold necklaces?” and “what is 14k gold jewelry?” These questions can be great starting points for brainstorming blog topics or an FAQ page on your website. The free version lets you look up three terms per day.
Soovle is another popular free tool that shows the phrases people search for across multiple platforms including Google, Yahoo and YouTube. When you type a keyword, Soovle will show you keywords that are often paired with yours in the search. For example, for the term 14k gold necklace, the phrases “14k gold necklace extender” and “14k vs 18k gold necklace” come up. This shows you what people are searching for and gives insight into what your potential customers want.
Now that you’ve created a list, it’s time to evaluate which ones are worth trying to rank for based on your business objectives. There are many online tools you can use to gain insight into keywords. The goal is to identify which keywords are less competitive to rank for in a search engine, but also relate most closely to your company and business objectives.
Ahrefs and Semrush are two SEO analytic tools that charge a monthly (or annual) subscription fee and provide all the data and analytics you might need for extensive keyword research, including identifying valuable keywords. Ahrefs and Semrush provide a few free features, but the main software costs money. There are a few free tools that can provide more data. Google Keyword Planner can help you find ideas for keywords as well as the search volume for these terms. Google Trends can also help you identify popular key terms.
Once you gather this data, you’ll have a better idea about which keywords make sense to focus on trying to rank for. You may be surprised that a term you thought was uncommon is very difficult to rank for. On the other hand, terms you thought would be too hard to rank for might be less competitive. This research process may also lead to new keywords you can add to your list. Both Ahrefs and Semrush , for example, will list keywords related to the ones you’re searching for, which can help you streamline your list.
Once you’ve narrowed your list of keywords, you’ll want to choose a few to focus on for your website. You should select these based on which terms have high traffic and low competition but also represent your brand accurately. For example, “14k gold necklace extenders” could be a competitive term, but it won’t be relevant to your business if you don’t sell necklace extenders.
Keyword research is one of the first steps in the process of driving traffic to your website. The general steps of keyword research are to go from very general terms to a narrowed-down list of more specific phrases and sentences. The goal is to end up with short-tail and long-tail keywords you can incorporate into your website that will help drive traffic.
The amount of time it will take you to conduct keyword research will depend on a number of factors, including what stage you are in your business, how thorough you want to be and whether you already have experience researching keywords. A ballpark estimate would be to carve out one week for keyword research as part of an overall SEO strategy.
Ahrefs is one of the best tools available for keyword research. However, while the company offers many free tools, the main software may be costly for some small businesses just starting out with keyword research. If that’s the case, check out our article on top Ahrefs alternatives .
A long-tail keyword is a phrase or sentence that is longer and more specific than one word or phrase. For example, a long-tail keyword could be “how to take care of a 14k gold necklace” while a short-tail keyword would simply be “gold necklace.” Long-tail keywords are typically easier to rank for in search engines since they don’t receive as much competition.
Leeron is a New York-based writer with experience covering technology and politics. Her work has appeared in publications such as Quartz, the Village Voice, Gothamist, and Slate.
Cisco Blogs / Networking / Myth-Busting Assurance: Device-Centric vs. Service-Centric and Why Both Are Key
Jay stewart.
Today, many systems look at assurance purely on a device level, using port stats, device health, syslogs, and other infrastructure or device-based telemetry data. It’s useful to understand and get insight from a device perspective, but this insight is reactive.
Likewise, the primary way to discover that a customer or end user is impacted by network performance issues in this scenario is still through trouble tickets. However, if a customer has already taken the time to call or create a trouble ticket, that also puts IT support in a reactive mode—chasing the problem.
In this blog, we’ll compare a few common ways of managing your network performance and reliability. You’ll learn about the capabilities of different assurance approaches to deliver a view into your customer or end user’s network experience and discover how taking a more proactive, customer-centric approach will help you get ahead of issues.
Device-level assurance is very good at detecting hard faults and delivering insights that are typically red or green—red meaning the device is not performing as expected and green indicating everything is fine. Gradual degradation is harder to pick up, yet from the customer or end-user perspective, any degradation slows down the network.
For example, recent network analysis performed by one of our service provider customers revealed that even a 0.53 percent packet loss can mean a 50 percent decrease in data or throughput. A five-millisecond delay can cause a 10 percent decrease in throughput. Device-level insights are ineffective at detecting quality of experience (QoE) problems and don’t reveal the impact an issue may have on the customer. Red at the device level does not always mean customer experience is impacted, and green does not always mean everything is good.
Shifting focus to the service can provide a view of how the customer is experiencing the network and the impact of any performance delays. This allows you to take a proactive approach by continuously monitoring the end-to-end service experience.
Granular measurements of KPIs, such as sub-1 percent packet loss detection and other one-way metrics, can provide fine-grained insights into what customers are experiencing. Small amounts of loss can greatly impact time or latency-sensitive services, and a customer’s perception of slowness is measured in milliseconds.
Metadata is also a key component of service assurance. Metadata could include a customer’s site, region, class of service, geographic coordinates, topology, or other details that add context to performance data and KPIs. This enriches insights and helps you understand the relationship of performance patterns. For instance, if you can see that all customers with a latency issue are going through the same router, understanding that relationship can help you isolate the possible root cause.
Using machine learning algorithms and analytics will further allow you to correlate relevant data and pinpoint the issue. You can even get a glimpse into the future and start to predict performance by baselining what is normal, detecting deviations, and taking preemptive action to prevent customer-impacting issues.
Correlating a single view of device-level and service-centric assurance can save time and costs while helping you continuously improve the end user’s digital experience. In fact, 75 percent of IT leaders plan to enable single-console end-to-end visibility across network domains, according to the Cisco 2024 Global Networking Trends Report . Organizations that do so will empower more proactive and customer-centric network operations with the ability to see, detect, and even predict customer-impacting issues instead of reactively responding to problems only when end users call and open trouble tickets.
An end-to-end view of service performance allows you to focus on the customer-impacting issues that should be prioritized. Bringing together device and service-centric assurance gives you a clearer understanding of what the real issue is—and where it’s happening within your network.
With Cisco Provider Connectivity Assurance (formerly Accedian Skylight), organizations gain microsecond-level visibility and service-centric insights essential for critical enterprise connectivity and managing large-scale, complex provider networks—the “owned” aspect of the global area network.
The result? Simplified operations and seamless digital experiences across carrier-grade environments.
Get more insights on forward-thinking approaches to assurance in our research paper: ACG Whitepaper — Economic Benefits of Service-Centric Assurance
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Saturday, August 31, 2024
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Join the AIrTonomy workshop to become a lead user with 6 months free research infrastructure!
Ahead of the exclusive 2-day workshop on Sept 11-12, where we will define use cases and requirements for a cyber-physical infrastructure for research on autonomous aerial vehicles (AAVs), we're looking for use case submissions.
Submit your research use case, be awarded with a travel grant and other forms of awards, and become a lead user with 6 months free access to the AIrTonomy infrastructure!
Your research ideas and use cases matter. They are essential for shaping the requirements of our AIrTonomy. Please submit your research case in preparation of our AIrTonomy workshop by August 31, 2024. In order to successfully submit a research use case, we strongly encourage you to watch the recording of our introduction and latest webinars or please read the info slides , and watch this AIrTonomy Overview video . We will also post our recording on this website for your information. Please check our YouTube channel to stay up to date.
This infrastructure, AIrTonomy, aims to revolutionize how researchers and engineers build artificial intelligence (AI) and machine learning (ML) architectures for AAVs so that they can be trusted by society.
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July 29th: Invitation and RSVP opens
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September 11-12: AIrTonomy Workshop at Purdue University campus and surrounding areas near West Lafayette, Indiana
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COMMENTS
User research is the methodic study of target users—including their needs and pain points—so designers have the sharpest possible insights to make the best designs. User researchers use various methods to expose problems and design opportunities and find crucial information to use in their design process. Discover why user research is a ...
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.
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.
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.".
The UX Research Field Guide is a comprehensive how-to guide to user research. By the time you finish reading, you'll be a total pro at doing user research—from planning it to conducting sessions to analyzing and reporting your findings. ... Analytics provide quantitative data about things like key user flows, in-app behaviors, and business ...
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 research is the parent of UX research; it's a broader research effort that aims to understand the demographics, behaviors, and sentiments of your users and personas. UX research, on the other hand, is a type of user research that's specific to your product or platform. Where user research focuses on the user as a whole, UX research ...
Here are 6 common methodologies that are easy to incorporate into your UX design process. 1. User Interviews. Interviews are a type of user research method in which the researcher talks with participants to collect data. This method is used to gather insights about people's attitudes, beliefs, behaviors, and experiences.
Step #1: Define research objectives. Go ahead - create that fake persona. Step #2: Pick your methods. Qualitative methods - the WHY. Quantitative methods - the WHAT. Behavioral and attitudinal methods. Step #3: Find your participants. How to recruit participants.
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.
UX research is the key to grounding ideas in reality and improving the odds of success, but research can be a scary word. It may sound like money we don't have, time we can't spare, and expertise we have to seek. ... User research has been essential to the success of behemoths like USAA and Amazon; Joe Gebbia, CEO of Airbnb is an ...
User research requires more time and money up front. But, in the long-term, it will save you both. 5. User research = a better user experience (and a more successful product) The bottom line is that user research ensures a better user experience—which ultimately results in a more successful product.
The type of user research you should do depends on your work process as well as your reason for doing user research in the first place. Here are three excellent reasons for doing user research: 1. To Create Designs That are Truly Relevant. If you understand your users, you can make designs that are relevant for them.
To get the right insights, you need to ask the right questions. Here's the best user research questions to start gathering feedback right away. Lorelei Bowman. Content Editor at Maze. Knowing the right user research questions to ask is vital to the success of your UX research. Research is an invaluable source of input for product development ...
It's the key to ensuring that your products and features will actually solve the problems that your clients face on a day to day basis. User research is imperative if you want to create a successful, habit forming product." — Jennifer Aldrich, UX and Content Strategist at InVisionApp. How To Conduct User Experience Research With User Groups
What is User Research? User research is defined as a systematic and multidisciplinary approach used to understand and empathize with the needs, behaviors, and preferences of a product or service's end users.It is a critical component of the product development process, helping designers, developers, and businesses create products and services that are user-centered and meet the real needs of ...
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 ...
Doing user research and testing early and often allows you to make smaller adjustments quickly and easily. That way, Ana says, "you can take a more iterative approach to design—without having to backtrack and redo your entire UX design." ... "Tagging key user responses helps you pinpoint what needs the most work and refinement to ...
Clarifying your user research project's why helps you: Communicate the importance of the task at hand: set yourself up to win team and stakeholder buy-in by clearly explaining the purpose of your user research project. Include expected outcomes, potential impact, and the results of your cost of delay analysis. Oh, and… skip the jargon.
According to the Future of User Research Report, 44% of product teams are already using AI tools to run research and an additional 41% say they would like to adopt AI tools in the future. ChatGPT is the most widely-used AI tool for conducting research (82%), followed by Miro AI (20%), Notion AI (18%), and Gemini (15%).
UX Research, the complete guide to reach ferpection. UX Research is an exciting and fast-moving heuristic approach based on user needs and behavior. It combines methodologies, tools and the goal of putting user experience at strategic level for organizations of all sizes. In this UX research guide, we will look together at topics such as:
Research is, therefore, key to gaining a sound understanding of the context, the user goals, and the thinking necessary for designing a truly exceptional user experience. The more transparent you are with your work process, the better your client will understand your tools and the information you need to make good decisions.
Evaluative user research — It helps you evaluate the usability of a particular feature or a workflow (eg. onboarding, checkout etc). It could be done either with a design prototype or with the live version of the product. ... Key themes — you also want to highlight the key theme emerging from your interview. These would help identify ...
Sharing Key Insights from User Research. A key insight should answer one or more of your research questions and directly inform how to meet one or more of the established business goals. When sharing key insights, be sure to make a clear connection between one of the business goals, research questions and why the key insight is relevant to both.
Keyword research is an essential part of a larger SEO and digital marketing strategy. It is the process of researching and analyzing the terms and phrases your ideal audience and potential ...
This blog compares user experience insights offered by device-level vs. service-level assurance. Learn which approach to assurance can help you gain a valuable customer-centric view. ... Metadata is also a key component of service assurance. Metadata could include a customer's site, region, class of service, geographic coordinates, topology ...
Join the AIrTonomy workshop to become a lead user with 6 months free research infrastructure! Ahead of the exclusive 2-day workshop on Sept 11-12, where we will define use cases and requirements for a cyber-physical infrastructure for research on autonomous aerial vehicles (AAVs), we're looking for use case submissions. Submit your research use case, be awarded with a travel grant and other ...