Which comes first: card sorting or tree testing?

"Hi Optimal Work,I was wondering if there are some best practices you stick to when creating or sending out different UX research studies (i.e. Card sorts, Prototyye Test studies, etc)? Thank you! Mary"

‍

Indeed I do! Over the years I’ve learned a lot about creating remote research studies and engaging participants. That experience has taught me a lot about what works, what doesn’t and what leaves me refreshing my results screen eagerly anticipating participant responses and getting absolute zip. Here are my top tips for remote research study creation and launch success!

‍

‍

Creating remote research studies

‍

‍

Use screener questions and post-study questions wisely

‍

Screener questions are really useful for eliminating participants who may not fit the criteria you’re looking for but you can’t exactly stop them from being less than truthful in their responses. Now, I’m not saying all participants lie on the screener so they can get to the activity (and potentially claim an incentive) but I am saying it’s something you can’t control. To help manage this, I like to use the post-study questions to provide additional context and structure to the research.

‍

Depending on the study, I might ask questions to which the answers might confirm or exclude specific participants from a specific group. For example, if I’m doing research on people who live in a specific town or area, I’ll include a location based question after the study. Any participant who says they live somewhere else is getting excluded via that handy toggle option in the results section. Post-study questions are also great for capturing additional ideas and feedback after participants complete the activity as remote research limits your capacity to get those — you’re not there with them so you can’t just ask. Post-study questions can really help bridge this gap. Use no more than five post-study questions at a time and consider not making them compulsory.

‍

‍

Do a practice run

‍

No matter how careful I am, I always miss something! A typo, a card with a label in the wrong case, forgetting to update a new version of an information architecture after a change was made — stupid mistakes that we all make. By launching a practice version of your study and sharing it with your team or client, you can stop those errors dead in their tracks. It’s also a great way to get feedback from the team on your work before the real deal goes live. If you find an error, all you have to do is duplicate the study, fix the error and then launch. Just keep an eye on the naming conventions used for your studies to prevent the practice version and the final version from getting mixed up!

‍

Sending out remote research studies

‍

‍

Manage expectations about how long the study will be open for

‍

Something that has come back to bite me more than once is failing to clearly explain when the study will close. Understandably, participants can be left feeling pretty annoyed when they mentally commit to complete a study only to find it’s no longer available. There does come a point when you need to shut the study down to accurately report on quantitative data and you’re not going to be able to prevent every instance of this, but providing that information upfront will go a long way.

‍

‍

Provide contact details and be open to questions

‍

You may think you’re setting yourself up to be bombarded with emails, but I’ve found that isn’t necessarily the case. I’ve noticed I get around 1-3 participants contacting me per study. Sometimes they just want to tell me they completed it and potentially provide additional information and sometimes they have a question about the project itself. I’ve also found that sometimes they have something even more interesting to share such as the contact details of someone I may benefit from connecting with — or something else entirely! You never know what surprises they have up their sleeves and it’s important to be open to it. Providing an email address or social media contact details could open up a world of possibilities.

‍

‍

Don’t forget to include the link!

‍

It might seem really obvious, but I can’t tell you how many emails I received (and have been guilty of sending out) that are missing the damn link to the study. It happens! You’re so focused on getting that delivery right and it becomes really easy to miss that final yet crucial piece of information.

‍

To avoid this irritating mishap, I always complete a checklist before hitting send:

‍

• Have I checked my spelling and grammar?
• Have I replaced all the template placeholder content with the correct information?
• Have I mentioned when the study will close?
• Have I included contact details?
• Have I launched my study and received confirmation that it is live?
• Have I included the link to the study in my communications to participants?
• Does the link work? (yep, I’ve broken it before)

‍

‍

‍

General tips for both creating and sending out remote research studies

‍

‍

Know your audience

‍

First and foremost, before you create or disseminate a remote research study, you need to understand who it’s going to and how they best receive this type of content. Posting it out when none of your followers are in your user group may not be the best approach. Do a quick brainstorm about the best way to reach them. For example if your users are internal staff, there might be an internal communications channel such as an all-staff newsletter, intranet or social media site that you can share the link and approach content to.

‍

‍

Keep it brief

‍

And by that I’m talking about both the engagement mechanism and the study itself. I learned this one the hard way. Time is everything and no matter your intentions, no one wants to spend more time than they have to. Even more so in situations where you’re unable to provide incentives (yep, I’ve been there). As a rule, I always stick to no more than 10 questions in a remote research study and for card sorts, I’ll never include more than 60 cards. Anything more than that will see a spike in abandonment rates and of course only serve to annoy and frustrate your participants. You need to ensure that you’re balancing your need to gain insights with their time constraints.

‍

As for the accompanying approach content, short and snappy equals happy! In the case of an email, website, other social media post, newsletter, carrier pigeon etc, keep your approach spiel to no more than a paragraph. Use an audience appropriate tone and stick to the basics such as: a high level sentence on what you’re doing, roughly how long the study will take participants to complete, details of any incentives on offer and of course don’t forget to thank them.

‍

‍

Set clear instructions

‍

The default instructions in Optimal Workshop’s suite of tools are really well designed and I’ve learned to borrow from them for my approach content when sending the link out. There’s no need for wheel reinvention and it usually just needs a slight tweak to suit the specific study. This also helps provide participants with a consistent experience and minimizes confusion allowing them to focus on sharing those valuable insights!

‍

‍

Create a template

‍

When you’re on to something that works — turn it into a template! Every time I create a study or send one out, I save it for future use. It still needs minor tweaks each time, but I use them to iterate my template.What are your top tips for creating and sending out remote user research studies? Comment below!

In 2009, Bob Bailey and Cari Wolfson published published findings that changed how we approach first click testing and usability testing. They analyzed 12 scenario-based user tests and found that if someone gets their first click right, they're about twice as likely to complete their task successfully. This finding was so compelling that we built First Click Testing (formerly Chalkmark) specifically to help teams test this.  But we'd never actually validated their research using our own data, until now.

‍

Turns out, we're sitting on one of the world's largest databases of tree testing results. So we analyzed millions of task responses to see if the "first click predicts success" hypothesis holds up.

‍

It does. Convincingly.

‍

Users who get their first click correct are nearly three times more likely to complete their task successfully (70% vs 24% success rate).

‍

Here's how we validated the original study, what our data shows, and why first clicks matter more than you might think.

‍

‍

‍

Original first click testing study: 87% task success rate

‍

‍

Bob and Cari analyzed data from twelve usability studies on websites and products with varying amounts and types of content, a range of subject matter complexity, and distinct user interfaces. They found that people were about twice as likely to complete a task successfully if they got their first click right, than if they got it wrong:

‍

If the first click was correct, the chances of getting the entire scenario correct was 87% if the first click was incorrect, the chances of eventually getting the scenario correct was only 46%.

‍

‍

‍

Our Tree Testing data: First clicks predict 70% task success rate

‍

‍

We analyzed millions of tree testing responses in our database. We've found that people who get the first click correct are almost three times as likely to complete a task successfully:

‍

If the first click was correct, the chances of getting the entire scenario correct was 70% if the first click was incorrect, the chances of eventually getting the scenario correct was 24%

‍

To give you another perspective on the same data, here's the inverse:

‍

If the first click was correct, the chances of getting the entire scenario incorrect was 30% if the first click was incorrect, the chances of getting the whole scenario incorrect was 76%

‍

‍

‍

How Tree Testing measures first click success and task completion

‍

‍

Bob and Cari proved the usefulness of the methodology by linking two key metrics in scenario-based usability studies: first clicks and task success. First Click Testing doesn't measure task success — it's up to the researcher to determine as they're setting up the study what constitutes 'success', and then to interpret the results accordingly. Tree Testing (formerly Treejack) does measure task success — and first clicks.

‍

In a tree test, participants are asked to complete a task by clicking though a text-only version of a website hierarchy, and then clicking 'I'd find it here' when they've chosen an answer. Each task in a tree test has a pre-determined correct answer — as was the case in Bob and Cari's usability studies — and every click is recorded, so we can see participant paths in detail.

‍

Thus, every single time a person completes an individual tree testing task, we record both their first click and whether they are successful or not. When we came to test the 'correct first click leads to task success' hypothesis, we could therefore mine data from millions of task.

‍

To illustrate this, have a look at the results for one task. The overall Task result, you see a score for success and directness, and a breakdown of whether each Success, Fail, or Skip was direct (they went straight to an answer), or indirect (they went back up the tree before they selected an answer):

‍

‍

‍

‍

In the pie tree for the same task, you can look in more detail at how many people went the wrong way from a label (each label representing one page of your website):

‍

‍

‍

‍

In the First Click tab, you get a percentage breakdown of which label people clicked first to complete the task:

‍

‍

‍

‍

And in the Paths tab, you can view individual participant paths in detail (including first clicks), and can filter the table by direct and indirect success, fails, and skips (this table is only displaying direct success and direct fail paths):

‍

‍

‍

‍

‍

How to run first click tests: Best practices for usability testing

‍

‍

First click analysis is one of the most predictive metrics in usability testing. Whether you're testing wireframes, landing pages, or information architecture, measuring first click success gives you early insight into whether your design will work.

‍

This analysis reinforces something we already knew: first clicks matter. It is worth your time to get that first impression right. You have plenty of options for measuring the link between first clicks and task success in your scenario-based usability tests. From simply noting where your participants go during observations, to gathering quantitative first click data via online tools, you'll win either way. And if you want quantitative first click data, Optimal has you covered. First Click Testing works for wireframes and landing pages, while Tree Testing validates your information architecture.

‍

To finish, here are a few invaluable insights from other researchers on getting the most from first click testing:

‍

• Jeff Sauro details a useful approach to running a first click test, and shares the findings from a test he ran on 13 people.
• An article on Neoinsight describes three common usability problems that first click testing can solve.
• Gianna LaPin describes a first click test she ran on Netflix, VUDU, and Hulu Plus.

‍

‍

About this study

‍

This analysis was conducted in 2015 using millions of task responses from Optimal’s First Click and Tree Testing tools. While the dataset predates recent UI trends, the underlying behavioral principle, that a correct first click strongly predicts task success, remains consistent with modern usability research.

Recently, Optimal Workshop partnered with Eniola Abioye, Lead UX Researcher at Meta and UXR Career Coach at UX Outloud to host a career masterclass featuring practical advice and guidance on how to: revamp and build a portfolio, emphasize the impact of your projects and showcase valuable collaborations. It also included panel discussions with experts from a variety of roles (UX, product management, engineering, career coaching and content design) talking about their journeys to becoming UX leaders. 

‍

Keep reading to get key takeaways from the discussion on:

‍

• How to show the impact of your UX work
• Common blockers in UX work
• How to collaborate with cross-functional UX stakeholders 
• How to build a resume and portfolio that uses industry language to present your experience

‍

How to show the impact of your UX 💥

‍

At a time when businesses are reducing costs to focus on profitability - proving the value of your work is more important than ever. Unfortunately, measuring the impact of UX isn’t as straightforward as tracking sales or marketing metrics. With this in mind, Eniola asked the panelists - how do you show the impact of UX in your work?Providing insights is simply not enough. “As a product manager, what I really care about is insights plus recommendations, because recommendations make my life easier,” said Kwame Odame. 

‍

Auset Parris added her perspective on this topic as a Growth Content Designer, “the biggest thing for me to be impactful in my space [Content Design] is to consistently document the changes that I’ve made and share them with the team along with recommendations.” Auset also offered her perspective regarding recommendations, “recommendations are not always going to lead to the actual product executions, but recommendations are meant to guide us.” When it comes to deciding which recommendation to proceed with (if any) it's important to consider whether or not they are aligned with the overarching goal. 

‍

Blockers in UX work 🚧

‍

As UXR becomes more democratized in many businesses and the number of stakeholders increases, the ability to gain cross-functional buy-in for the role and outcomes of UXR is a key way to help keep research a priority. 

‍

In his past experience, Kwame has realized that the role of a user experience researcher is just as important as that of a product manager, data scientist, engineer, or designer. However, one of the biggest blockers for him as a product manager is how the role of a UX researcher is often overlooked. “Just because I’m the product manager doesn’t mean that I’m owning every aspect of the product. I don’t have a magic wand right? We all work as a team.” Furthermore, Kwame notes that a user researcher is an incredibly hard role and a very important one, and I think we need to invest more in the UX space.

‍

Auset also shared her perspective on the topic, “I wouldn’t say this is a blocker, but I do think this is a challenging piece of working in a team - there are so many stakeholders.” Although it would be ideal for each of the different departments to work seamlessly together at all times, that’s not always the case. Auset spoke about a time where the data scientists and user researchers were in disagreement. Her role as a Growth Content Designer is to create content that enhances the user experience. “But if I’m seeing two different experiences, how do I move forward? That’s when I have to ask everyone - come on let’s dig deeper. Are we looking at the right things?” If team members are seeing different results, or having different opinions, then maybe they are not asking the right questions and it's time to dig deeper. 

‍

How to collaborate with cross-functional UX stakeholders 🫱🏽🫲🏻

‍

The number and type of roles that now engage with research are increasing. As they do, the ability to collaborate and manage stakeholders in research projects has become essential. 

‍

Kwame discussed how he sets up a meeting for the team to discuss their goals for the next 6 months. Then, he meets with the team on a weekly basis to ensure alignment. The main point of the meeting is to ensure everyone is leaving with their questions answered and blockers addressed. It's important to ensure everyone is moving in the right direction. 

‍

Auset added that she thinks documentation is key to ensuring alignment. “One thing that has been helpful for me is having the documentation in the form of a product brief or content brief.” The brief can include the overarching goal, strategy, and indicate what each member of the team is working on. Team members can always look back at this document to ensure they are on the right track. 

‍

Career advice: documenting the value you bring 💼

‍

One of the participants asked the panel, “how do you secure the stability of your UX career?” 

‍

Eniola took this opportunity to share some invaluable advice as a career coach, “I think the biggest thing that comes to mind is value proposition. It's important to be very clear about the value and impact you bring to the team. It used to be enough to just be really, really good at research and just do research and provide recommendations. Now that’s not enough. Now you have to take your teams through the process, integrate your recommendations into the product, and focus on driving impact.” 

‍

Companies aren’t looking to hire someone who can perform a laundry list of tasks, they’re looking for UX professionals who can drive results. Think about the metrics you can track, to help showcase the impact of your work. For example, if you’re a UX designer - how much less time did the user spend on the task with your new design? Did the abandonment or error rate decrease significantly as a result of your work? How much did the overall customer satisfaction score rise, after you implemented your project? Before starting your project, decide on several metrics to track (make sure they align with your organization’s goals), and reflect on these after each project. 

‍

Fatimah Richmond offered another piece of golden career advice. She encourages UX researchers to create an ongoing impact tracker. She’ll create a document where she lists the company's objectives, the projects she worked on, and the specific impact she made on the companies objectives. It's much easier to keep track of the wins as they happen, and jot a few notes about the impact you’ve made with each project, then scrambling to think of all the impact you’ve made when writing your resume. It's also important to note the impact your work has made on the different departments - product, marketing, sales, etc.

‍

She also advises UX researchers to frequently share their science insights with their colleagues as the project progresses. Instead of waiting until the very end of the project and providing a “perfectly polished” deck, be transparent with the team about what you are working on and the impact it's having throughout the duration of the project.

‍

Another participant asked - what if you need help determining the value you bring? Auset recommends asking for actionable feedback from coworkers. These people work with you every single day, so they know your contributions you are making to the team. 

‍

Documenting the tangible impact you make as a UX professional is crucial - not only will it help create greater stability for your career, but it will also help organizations recognize the importance of a UX research. As Kwame discussed in the “blockers” section, one of the biggest challenges he faces as a product manager is the perception of the UX role as less important than the more traditional product manager, Engineer, and Designer roles. 

‍

About Eniola Abioye

‍

Eniola helps UX researchers improve their research practice. Whether you’re seasoned and looking to level up or a new researcher looking to get your bearings in UX, Eniola can help you focus and apply your skillset. She is a UX Researcher and Founder of UX Outloud. As a career coach, she guides her clients through short and long term SMART goals and then works with them to build a strategic plan of attack. She is innately curious, a self-starter, adaptable, and communicative with a knack for storytelling.

‍

Learn more about UX Outloud.

‍

Connect with Eniola on Linkedin.

‍

About the panelists 🧑🏽🤝🧑🏽

‍

The panel was comprised of talented professionals from a variety of fields including UX research, content strategy, product management & engineering, and career coaching. Their diverse perspectives led to an insightful and informative panel session. Keep reading to get to know each of the amazing panelists: 

‍

Growth Content Designer: Auset Parris is a growth content designer at Meta. She has spent 7 years navigating the ever-evolving landscape of content strategy. She is passionate about the role of user research in shaping content strategies. Furthermore, Auset believes that understanding user behavior and preferences is fundamental to creating content that not only meets but exceeds user expectations. 

‍

Senior UX Researcher: Jasmine Williams, Ph.D. is a senior researcher with over a decade of experience conducting youth-focused research. She has deep expertise in qualitative methods, child and adolescent development, and social and emotional well-being. Jasmine is currently a user experience researcher at Meta and her work focuses on teen safety and wellbeing. 

‍

Product Manager: Kwame Odame has over 7 years of high-tech experience working in product management and software engineering. At Meta, Kwame is currently responsible for building the product management direction for Fan Engagement on Facebook. Kwame has also helped build Mastercard’s SaaS authentication platform, enabling cardholders to quickly confirm their identity when a suspicious transaction occurred, leveraging biometric technology. 

‍

UX Researcher (UXR): Fatimah Richmond is a well-rounded UX researcher with over 15 years of experience, having influenced enterprise products across leading tech giants like Google, SAP, Linkedin, and Microsoft. Fatimah has led strategy for research, programs and operations that have significantly impacted the UXR landscape, from clinician engagement strategist to reshaping Linkedin Recruiter and Jobs. As a forward thinker, she’s here to challenge our assumptions and the status quo on how research gets planned, communicated, and measured.

‍

Career Coach: An Xia spent the first decade of her professional life in consulting and Big Tech data science (Netflix, Meta). As a career coach, An has supported clients in gaining clarity on their career goals, navigating challenges of career growth, and making successful transitions. As a somatic coach, An has helped clients tap into the wisdom of their soma to reconnect with what truly matters to them. 

‍

UX Strategist: Natalie Gauvin is an experienced professional with a demonstrated history of purpose-driven work in agile software development industries and higher education. Skilled in various research methodologies. Doctor of Philosophy (Ph.D.) Candidate in Learning Design and Technology from the University of Hawaii at Manoa, focused on empathy in user experience through personas

‍

Level up your UXR capabilities (for free!) with the Optimal Academy 📚

‍

Here at Optimal we really care about helping UX researchers level up their career. This is why we’ve developed the Optimal Academy, to help you master your Optimal Workshop skills and learn more about user research and information architecture.

‍

Check out some of our free courses here: https://academy.optimalworkshop.com/