Early-Design Testing

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What is Early-Design Testing?

Early-design testing is the practice where designers or researchers evaluate design concepts, prototypes, or user flows at the beginning of the UX (user experience) design process. UX designers use it to uncover usability issues, validate assumptions, and gather user feedback before committing to develop products more concretely.

Enter the zone of early-design testing and come away with insights that will put your product, service, or experience on the right track as soon as possible, in this video with William Hudson: User Experience Strategist and Founder of Syntagm Ltd.

Transcript

Why Designers Start Testing Early

It might sound counterintuitive to test a proposed design so early in the UX design process—almost as if to suggest a design team hasn’t had time to build anything that’s truly testable—but it’s vital to do.

Designers typically test low-fidelity prototypes such as paper prototypes, wireframes, or clickable mockups with real users to determine how functional, clear, and usable the core parts and concepts of their design idea are. The goal is to gather actionable feedback before they plow significant time and resources into development.

Unlike later-stage usability testing, which often assesses polished interfaces or working software, this testing focuses on identifying potential friction points long before they can grow into true design faults. It helps answer key questions like:

  • Do users understand the layout?

  • Can they accomplish tasks intuitively?

  • Are design assumptions valid?

Since design teams can make—and quickly act on—assumptions from the moment they think about user behavior, user needs, and even a potential solution, they can run into the danger of getting carried away with unfounded ideas. They might assume users will see things their way and that the road ahead is all straight and smooth. If they proceed thinking that way, they can set themselves up for a shock later when usability tests expose a faulty high-fidelity prototype or even a flawed “finalized” solution.

The Benefits of Early-Design Testing

1. Catches Problems Early—When They’re Easier to Fix

One of the most compelling reasons to test early is cost. It costs far, far less to fix usability problems during the earlier stages of the design phase than to address such problems later, when teams have sunk time, effort, and money into higher-fidelity prototypes, or (worse) the product after launch, when users can rate—and berate—it.

The 1-10-100 rule mirrors this fact. A $1 problem that a team finds at the initial stage can cost $10 to fix if they don’t catch it until later, and it can skyrocket to cost $100 to address if they only discover the issue late in development or even post-release. This ratio set can scale painfully for brands that go too far with assumptions.

A diagram showing the 1-10-100 rule with three piles of coins to reflect the three amounts respectively.

Early testing helps teams weed out such problems before they become cemented in code, and so they can remove them long before they can frustrate more users, hurt the product, and tarnish the brand’s reputation by “escaping” into the marketplace.

© Interaction Design Foundation, CC BY-SA 4.0

2. Validates Key Assumptions

As vital as user research is, designers often work from a set of assumptions—about what users need, how they behave, or which features will be most valuable. When they early-design test those assumptions in real-world conditions, they can challenge or confirm such notions about how users will respond to a design and its features. For instance, a team may assume users will recognize an icon’s meaning, but testing may show users find it confusing. If the team catches this early, they can easily course-correct.

Discover how user research helps lay the foundations on which to build successful design solutions, in this video with William Hudson.

Transcript

3. Aligns Teams Around User Needs

Early testing builds a shared understanding of what users need and how they interact with a product. It grounds design conversations in hard evidence rather than fly them high into the cloudy realms of opinion. This is particularly valuable in cross-functional teams, where product managers, developers, and stakeholders may have differing views on what users need.

Discover how user needs fit into product design, in this video.

Transcript

4. Improves Product-Market Fit

When teams validate design decisions early, they can slash the risk of launching a product that misses the mark. Early testing helps teams prioritize features users actually want. Teams can find out not only what doesn’t work but also insights about important features they had either not thought important or overlooked completely.

When designers and teams shift their focus to fixing faults and fine-tuning desired features, they can keep testing to work out the best way forward. This approach results in a final product that truly delights the target audience. From out of a scanty-looking wireframe can come insights from which designers can make essential adjustments to a proposed product before they set anything in “concrete” for users in the marketplace.

Get a clearer view of how wireframing helps set foundations on which to cement designs that can engage users in seamless experiences and deliver on what they want, and more, in this video.

Transcript

How to Conduct Early-Design Testing: A Step-by-Step Guide

Step 1: Define Your Goals

Decide what you need to find out. Write clear, testable questions. For example:

  • Can users find the signup form from the homepage?

  • Do users understand the purpose of the dashboard?

Step 2: Choose the Right Prototype

Match the fidelity of the prototype—and it should be a lower-fidelity one—to your goals. Use:

  • Paper sketches for basic flows or layout concepts.

  • Wireframes for navigation or content testing.

Explore how to draw and cut your way to a paper prototype of a novel solution you can test early, in this video with William Hudson.

Transcript

Step 3: Recruit Participants

Find participants who reflect your intended user base so you can get the best insights from your target audience. Use recruitment tools, social media, or your (intended) customer base. Offer individuals incentives, if necessary, to encourage participation.

Step 4: Prepare a Test Script

Outline tasks for users to perform during the test session. Keep instructions neutral and don’t use jargon or leading language. For example:

  • “Show me how you’d add a new contact.”

  • “Where would you click if you wanted to book a meeting?”

Step 5: Run the Test

Conduct tests one-on-one, either in person or via remote tools. Use the think-aloud method, and resist the urge to correct or guide users. Remember, it should be early enough in the design process for you to make corrections relatively easily; that’s why you’re doing a test at this stage.

Step 6: Capture and Analyze Results

Take notes, capture quotes, and identify usability issues. Particularly watch what users do and their body language; frowns can tell you more than words. Speaking of words, some users might downplay their frustration so that they don’t offend you. In any case, look for patterns across sessions—do multiple users struggle with the same element?

Prioritize problems by severity and frequency; when users uncover significant issues, especially ones that arise often, your test will save you a great deal of time, effort, and money.

Explore how to get data working well for you, in this video with helpful tips about collecting data, with Ann Blandford: Professor of Human-Computer Interaction at University College London.

Transcript

Step 7: Iterate and Test Again

Now you’ve gathered some feedback, analyze it so you can make design changes based on feedback. If issues persist on the next test, consider alternative solutions. Continue testing until users can complete key tasks with ease and confidence—the hallmarks of an intuitive experience. Early-design testing helps pave the runway so a design solution can launch into clearer “skies.”

Reach into statistics, briefly, for a clear view of how to determine if the results of tests are significant, in this video with William Hudson.

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Two Specialized Methods of Early-Design Testing

Designers and teams have two helpful “allies” they can rely on to test specific areas: first-click testing and tree testing.

First-Click Testing

First-click testing is a method that evaluates where users click first when trying to complete a specific task on a UI (user interface). This initial click is crucial; research indicates that users who click correctly on their first attempt are far more likely to complete the task successfully.

Find out how this form of testing can help you spot vital points about where your design stands, and where you can take it to enjoy more success, in this video with William Hudson.

Transcript

To run a first-click test, you present users with a static image or prototype of a webpage or app and give them a task, such as “Find the contact information.” So, they click—hopefully correctly—and you record and analyze their first click to see if your design, like a prototype, guides users intuitively.

This method is particularly effective in early stages, as teams can conduct it with low-fidelity prototypes. It could be to test how to “book an appointment” or “add a product to the cart”—you want to see what users do first and if they can do it without hesitation.

How to Do First-Click Testing: Step by Step

  1. Create a Prototype or Static Image
    Use an interactive prototype, wireframe, mockup, or even a sketch that you’ve rendered into a digital format. It should show the interface users need to begin a specific task. Sketches help bring form to ideas, while wireframes work as blueprints for a digital solution’s structure. Mock-ups showcase the visual appearance—how things will look on the proposed solution—while prototypes offer simulations of interaction and functionality at the higher end.

An illustration showing a sketch, a wireframe, a mockup, and a prototype.

© Interaction Design Foundation, CC BY-SA 4.0

  1. Write a Task Prompt
    Clearly instruct the user on what they need to do—for example, “Where would you click to change your password?”

  1. Ask for the First Click Only
    Don’t let users complete the full flow. You want to see where they believe the task should begin.

  1. Record and Analyze Results
    Use heatmaps or click maps to visualize the click distribution and have the results for easy reference. Analyze how many users clicked the correct area and how far off incorrect clicks were.

  1. Iterate and Re-test
    If a significant number of users fail, it’s a sure sign you’ll need to adjust the layout or labels and test again to validate improvements.

Best Practices for First-Click Testing

  • Use neutral, task-focused prompts.

  • Test five to eight users per iteration.

  • Don’t give hints or feedback during the test (not even subtle sighs).

  • Visualize data using heatmaps to identify click patterns.

  • Prioritize revising elements that consistently mislead users.

Tree Testing

Tree testing assesses how clear and effective a website or application’s information architecture is to your test users. Where first-click testing revolves around visual design, tree testing strips away visual design elements; designers focus just on the site’s structure here.

Grab a hold of this helpful branch of testing to get a better view of your digital product’s information architecture—and learn what to tweak so your design can reach more successful heights—in this video with William Hudson.

Transcript

To run a tree test, you give users tasks that require them to navigate through a simplified text version of the site’s hierarchy so they can find specific information. For example, you might ask them, “Where would you find information about shipping policies?” and then they would navigate through the text-based menu to locate it. You want to discover whether users can find information easily and if the site’s organization aligns with their expectations.

How to Do Tree Testing: Step by Step

  1. Build a Text-Only Site Structure
    Use an online tool or sketch out your navigation paths; don’t include visual elements that might distract users from the structure.

  1. Develop Realistic Tasks
    Ask users to find content they would normally look for—for example, “Where would you look to track the delivery of your item?”

  1. Run the Test Remotely or In-Person
    Ask users to click through the hierarchy to find answers. Measure the success rate and time it takes them to do so.

  1. Analyze Results
    Look for patterns: Are users getting lost? Are they choosing incorrect categories? Use metrics like task success rate, directness, and time on task.

  1. Refine and Re-test
    Based on what you find out, restructure confusing categories, rename items, or reorganize paths. Then, re-test until you’re sure you’ve “hammered out” these kinks and have an information architecture (IA) that users understand well.

Investigate how a strong information architecture helps brands reach users better, in this video.

Transcript

Best Practices for Tree Testing

  • Test at least 10 tasks with 5–15 users.

  • Use actual user terminology in your navigation.

  • Include distractor categories to mimic real-world complexity—for example, “Returns and Refunds” to distract from where to go for information about shipping policies.

  • Treat failed paths as learning opportunities—not user errors.

  • Combine findings with insights from open and closed card sorting if available.

Check out how card sorting can help get design ideas on track, in this video with Donna Spencer, Author, Speaker and Design Consultant.

Transcript

Special Considerations for Effective Early-Design Testing

1. Set Clear Testing Objectives

Before you start, always decide what you want to learn. Your goal might be to validate a concept, test a navigation pattern, or explore user reactions to a new layout. When you have a clear objective, you can design the right test scenarios and analyze results more effectively.

2. Use Low-Fidelity Prototypes

Remember, “early” is in the name for a reason; don’t wait for polished visuals or complete flows. Early testing works best with rough concepts—paper sketches, wireframes, or clickable mockups. These lightweight prototypes are quick to create and easy to change based on user input.

3. Recruit Real Users (or as Close as You Can Get)

Ideally, test with people who closely resemble your target audience. For example, if your product is for new parents, don’t test with college students. In early stages, even a handful of users—usually five to eight—can uncover critical usability issues.

This is where your research will help point the way. Better still, if you pinpoint your users and distill them into user personas—fictitious representations of your real target users—you can gear your future design decisions around more substantial focal points.

Prioritize personas as a powerful aid to fine-tune design solutions that can match and exceed the real-world expectations and desires of target users, and learn why design without them falls short, in this video with William Hudson.

Transcript

4. Use the “Think Aloud” Protocol

Encourage users to verbalize their thoughts while they’re interacting with the prototype. This reveals confusion, assumptions, and expectations in real time—and it means users typically won’t have time to be politely dishonest out of fear of offending you. For example, a user might say, “I’m not sure what this button does”—a clear signal that you’ll need to include clearer labels or buttons.

5. Watch, Don’t Lead

Resist the urge to explain or help during the test. As much as a user may seem to “agonize” about how to achieve a goal, don’t give the game away; your job is to observe how they naturally interact with the design. Take detailed notes and record sessions, if possible, but focus on what users do, not just what they say.

6. Iterate Quickly

Act on insights right away. Fix glaring issues, refine the prototype, and test again—still nice and early in the design process. Rapid iteration is the heart of early testing—it lets you improve designs before costly rework becomes necessary.

Overall, early-design testing empowers UX teams to create user-centered solutions from the very beginning. It’s like a safety-net that can save designers and teams from falling into an abyss from the earliest steps they take. “Abyss” is no exaggeration; a few steps in the wrong direction early on can lead to stumbling into massive problems if a team doesn’t course-correct before they release a flawed digital product.

Just a few precautions like early-design tests can prevent brands from losing out to competitors who did invest in early validation. It can also spare users from feeling overwhelmed by features they didn’t ask for or ignored by a design that fails to address their pain points. Indeed, also, it can save designers the pain of meeting with frustrated business stakeholders who might lose faith in UX design after their shiny new solution flops as a “dud” in the marketplace.

Whether you're launching a startup’s MVP (minimum viable product) or redesigning a legacy platform, early-design testing gives you the confidence to move forward with clarity. It helps you make sure you’re building the right product—before you get to building the product right.

Questions About Early-Design Testing?
We've Got Answers!

Why should I test designs early in the UX process?

You can catch usability problems before they grow into expensive mistakes when you do early-design testing. It allows teams to gather real user feedback, refine ideas, and validate assumptionsbefore investing heavily in development.

Research shows that it can cost up to 100 times more to fix a problem in development than to fix it in the design phase. By testing early, teams reduce risk, save resources, and build products that better meet user needs. It also boosts creativity: designers explore multiple ideas freely, knowing they can quickly test and adjust.

Discover what problems assumptions can cause designers, and how to manage them properly.

How early should I start testing my UX designs?

Start testing your designs as early as possible—ideally right after sketching your first ideas, but make sure you have conducted solid initial user research, too. Early testing isn’t about putting polished screens in front of users. Even paper sketches or simple wireframes can reveal valuable user insights.

The earlier you test, the sooner you’ll spot usability issues, misunderstandings, or gaps in your thinking. This will save you and your team wasted effort and help you pivot quickly when you must. According to usability expert Jakob Nielsen, testing with just five users can uncover up to 85% of usability problems, so you don’t need a huge budget or complex setup to start.

Actionable tip: As soon as you can show something, test it. Use low-fidelity prototypes to get quick feedback. Don’t wait until the “design is ready”; “ready” here means early and frequent—the earlier you test, the more agile and user-focused your process becomes.

Get right down to it with low-fidelity prototypes to see how these early “versions” can turn into fine “tools” to test with.

What UX questions can I answer with early-design testing?

Early-design testing helps answer key UX questions that guide better design decisions before you and your brand invest heavily in development. At this stage, you can explore questions like:

  • Can users understand the core concept of the product?

  • Do users know what to do next when they see the interface?

  • Are navigation paths intuitive and easy to follow?

  • Do users interpret icons, labels, and calls-to-action correctly?

  • Where do users get stuck or confused?

These questions uncover issues with information architecture, user flows, and interaction clarity—before anyone on your team writes any code. Did you know that if you test rough sketches or wireframes with just three to five users, it’s often enough to reveal 80% of major usability problems that may be there?

Actionable tip: Use think-aloud testing with clickable prototypes. Ask users to perform basic tasks and explain what they see, think, and expect. Their reactions will quickly show what’s working and what needs refinement.

Explore where effective navigation can take great designs and grateful users, and how it gets them there.

What methods work best for early-design testing?

First-click testing and tree testing are particularly excellent methods for early-design testing—especially to evaluate navigation and interaction clarity. You can use both methods early to avoid costly navigation and labeling mistakes later.

First-click testing helps answer: “Where do users click first to complete a task?” This method identifies whether users understand how to begin an action, which is crucial since research shows that users who click the correct first element complete tasks successfully most of the time.

Tree testing evaluates your information architecture. It strips away visual design and tests whether users can find information in a pure text-based site map. This pinpoints problems in menu structure, labeling, or categorization—helpfully, before you even need to design a screen.

Get a firmer grasp of how users can behave in test situations from our article 4 Common Pitfalls in Usability Testing and How to Avoid Them to Get More Honest Feedback.

How do I test a user flow before I build a full prototype?

To test a user flow before you build a full prototype, use low-fidelity tools and focus on key tasks, not final visuals. Start with sketched screens or wireframes that outline the steps users would take. You don’t need interactivity—just enough context for users to follow the journey.

Then run a cognitive walkthrough or task-based usability test. Ask users to talk through what they expect each screen or step to do. This approach uncovers friction points in the flow before adding any design polish.

Use first-click testing to validate your navigation paths early: Can users identify the right starting point for a task? Combine that with simple paper or digital mockups to simulate progression between steps.

Overall, when you’re testing static screens in sequence with user flows, your goal is to test logic, not layout.

Discover helpful insights in our article Flow Design Processes - Focusing on the Users' Needs.

How do I run an early-design test session?

To run an early-design test session, focus on clarity, speed, and structure. Start by picking a simple prototype—paper sketches, wireframes, or clickable mockups. Then write a few realistic tasks users should try to complete, like “Find a product to buy” or “Schedule a meeting.”

To begin each session, set the context: Tell users what they’ll see is rough and that you’re testing the design, not them. Then ask them to think aloud as they navigate—this reveals confusion, hesitation, and false assumptions.

Use methods like first-click testing to check if users know where to begin a task, and observe them carefully to watch where they struggle. Don’t lead or explain—let users explore naturally.

Actionable tip: Record the session (with permission), take notes on critical moments, and run sessions with at least 3–5 users to spot patterns fast.

Harvest some helpful insights and tips about testing prototypes in our article Test Your Prototypes: How to Gather Feedback and Maximize Learning.

How often should I test during the design phase?

Test your designs early and often throughout the design phaseideally after every major iteration. Frequent testing helps catch usability issues before they become expensive to fix and keeps your team aligned with real user needs.

A good rule is to test after sketching initial ideas, after wireframing key flows, and after each major update. You don’t need dozens of users—test with just 3 to 5 users per round and they can reveal up to 85% of usability problems.

Each test should answer a specific question, such as “Do users understand this flow?” or “Can they find key features?” Regular testing keeps your process lean, flexible, and user-centered.

Tip: Bake testing into your weekly sprint cycle. Treat it as a habit, not a one-off event.

Explore how design teams use design sprints to supercharge their output and keep team members focused on meaningful deliverables.

How do I avoid bias when I test early designs?

To prevent bias when testing early designs, focus on neutral observation and clear task framing. Bias often creeps in through suggestive language, body cues, or overexplaining the design—things that can slip by you without your realizing it.

To begin, write unbiased task instructions. Instead of saying, “Find the easiest way to book a flight,” say, “Show me how you’d book a flight.” Avoid words like “easy,” “correct,” or “best.”

Let users navigate on their own. Don’t lead them, hint, or correct them; even your body language or what you might think are subtle sighs can skew the results. Your job is to watch and listen. Encourage the users to think aloud, but don’t interpret their behavior in real time.

Stick to a consistent script, record sessions (as long as you get users’ permission to record them), and analyze patterns after—not during—the session.

Base your design decisions on firmer ground by understanding how bias can block accurate insights and weaken research findings.

How do I prioritize changes after early testing?

To prioritize changes after early testing, focus on impact and effort. To begin, review all feedback and usability issues. Group them by theme—navigation, layout, copy clarity, etc.—then rate each issue by two factors:

  1. Severity: Does it block users from completing a task? Does it confuse or frustrate them?

  2. Frequency: Did multiple users experience the issue?

Use a simple impact–effort matrix: prioritize fixes that are high impact and low effort. Tackle critical blockers first—especially if they affect task completion or cause user drop-off. Don’t waste time perfecting things users didn’t struggle with.

Tip: Create a prioritization spreadsheet with columns for issue, user quote, severity, frequency, and suggested fix. This helps align your team and track changes clearly.

Explore further avenues of what matters most to users in feature prioritization.

What are the biggest mistakes designers make with early testing?

The biggest mistakes designers make with early testing often come down to poor preparation, leading questions, and ignoring results. Here’s what to avoid:

  1. Waiting too long to test: Many designers hold off until the design looks polished. However, testing early sketches or wireframes provides the biggest insights at the lowest cost.

  2. Testing with the wrong users: Colleagues and friends aren’t stand-ins for your target audience. Test with real or representative users who reflect your product’s audience, not these “stunt doubles.”

  1. Leading users: Saying things like “This should be easy” or explaining the interface biases the results and loosens your grip on where the product might end up. Let users explore naturally and observe their behavior without interference.

  2. Skipping analysis: Running tests without logging patterns or prioritizing feedback leads to wasted insights—keep on top of things.

Explore more about how to keep on point from our article Four Common User Testing Mistakes.

What are some recent or highly cited articles about early-design testing?

Rivero, L., & Conte, T. (2013). Using an empirical study to evaluate the feasibility of a new usability inspection technique for paper-based prototypes of web applications. Journal of Software Engineering Research and Development, 1(2).

This study introduces the Web Design Usability Evaluation (Web DUE) technique, aimed at identifying usability issues in low-fidelity prototypes during the design phase. By conducting empirical evaluations, the authors demonstrate that Web DUE effectively uncovers usability problems earlier in the development process, allowing for timely corrections before coding begins. This approach is particularly beneficial for UX designers working with paper-based prototypes, as it offers a structured method to enhance usability without the need for fully developed digital interfaces.

Pettersson, I. (2018). Eliciting user experience information in early design phases. Chalmers University of Technology.

In this doctoral thesis, Pettersson presents the CARE approach—a methodology for eliciting rich user experience (UX) data during early design phases. Focusing on in-vehicle systems, the research addresses challenges in capturing user expectations and experiences when product representations are incomplete. The CARE approach emphasizes contextualization, anticipation, reflection, and enactment to gather nuanced UX insights. UX designers can apply this method to inform the design of novel systems, ensuring that user experiences are considered even before full prototypes are developed.

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Question 1

Which two methods are highlighted as key types of early‑design testing to reduce rework later in the design process?

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  • A/B testing and usability benchmarking
  • Tree testing and first-click testing
  • Cognitive walkthrough and pluralistic walkthrough
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Question 2

Why are low-fidelity prototypes particularly effective in early‑design testing?

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  • They look polished and reduce critical feedback.
  • They cost little to produce and are easy to discard.
  • They simulate final interactions and animations.
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Question 3

What is the core benefit of conducting early‑design testing in an iterative design process?

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  • It allows detailed UI polish before user feedback.
  • It catches usability issues when they're cheapest to fix.
  • It replaces the final usability test stage.

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All Free IxDF Articles on Early-Design Testing

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Early-Design Testing

Early-Design Testing is a great way to minimize extra work later in the process.Let’s get started on this exciting topic! In the video, William Hudson introduces early-design testing generally and the two methods we’re going to cover in detail: tree testing and first-click testing:[[video:916]]Refer

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Getting Started with Early-Design Tests

Example of a tree-testing “pietree” from Optimal WorkshopAs with most research tools, you need to decide what you’re trying to find out and who to conduct your research with. In this video, William Hudson talks about these important questions and the related issues of participant recruitment and scr

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First-Click Testing

First-Click Testing shows you where users start their journey.First-click testing is very simple in concept and is pretty well described by its name; users are given a task and are asked to click on a design representation to indicate where they’d start. The design representation could be nothing mo

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Tree Testing: A Complete Guide

Tree Testing reveals where users lose their way in your navigation. It’s a focused approach to evaluate a site's navigational structure. But it’s more useful in certain scenarios—so, you need to understand where you’ll benefit from tree testing the most. Learn about the pros and cons of testing tool

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Tree Testing: A Complete Guide

Tree Testing: A Complete Guide

Tree Testing reveals where users lose their way in your navigation. It’s a focused approach to evaluate a site's navigational structure. But it’s more useful in certain scenarios—so, you need to understand where you’ll benefit from tree testing the most. Learn about the pros and cons of testing tools so you can make informed decisions about their application.

Did you know that unclear navigation is one of the things that can drive customers away? Forbes revealed that vague website labels lead to confusion and lost business.

Fortunately, that's where tree testing comes in and handily offers a method to streamline and validate site navigation—and you can use it to make sure that your labels and categories really make sense to your audience. Learn how this technique can help you enhance user experience, reduce confusion and help retain customers on your digital platform.

Tree testing provides goal-oriented verification of a navigation hierarchy. You don’t involve any other part of the solution since users only interact with a simulation of the menus. In this video, UX Strategist and Consultant William Hudson discusses how you can start tree testing.

Transcript

What is a Tree Test? 

A tree test is a simulation of the navigation structure of a website or app—a powerful tool to evaluate the findability of topics or features. Imagine—if you will—a library system, with each section that’s got books categorized under various topics. A tree test works in a similar way. It doesn't actually show the design or layout—instead, it presents a text-based version of the site's structure.

Participants navigate through the structure in a tree test, and they look for items or information as they’d search in a real scenario. The goal in tree testing is to check if they can find things easily without visual help. This method doesn’t just highlight navigation issues but helps improve the user experience, too.

To set up a tree test, you need two components:

●  The Tree—or the hierarchical menu—which you’ll display as a series of accordions. It shows the site's navigation categories without any design or content.

●  The Tasks are realistic goals that users might want to achieve—they can encompass a wide range of things, such as buying a new saucepan or checking last month’s phone bill.

Participants click on categories to see subcategories. They navigate through the tree until they think they’ve reached the goal specified in the task. This process requires no prototypes, designs, visuals or written content. Here’s an example, shown as a breadcrumb line, for the task of “Buy goat milk yogurt”:

Browse Shop > Fresh & Chilled Food > Yogurts > Goat & Sheep Yogurt

This looks easy enough, but in the hierarchy in question, the “Yoghurts” menu item was immediately preceded by “Dairy & Eggs.” Yogurts are dairy, so that might be distracting. That is what tree testing will help us discover.

Tree Testing and Other UX Testing Methods

Tree testing stands out among various UX testing tools, and each method offers unique insights into both user experience and usability. Here's a closer look at tree testing alongside other common usability methods. Understand when to use them together or separately. These are in the order they are often used in a project:

●  Card Sorting: Users sort content into categories to shape or evaluate IA. It's a great start before tree testing. It helps you craft the IA, which you'll later test for navigational clarity.

●  First-click Testing: This one tracks the initial click in a task—and that’s crucial for successful outcomes. This form of testing can complement tree testing and does it by showing where users expect to begin their navigation experience.

●  Heatmaps: These are often generated by first-click testing and eye-tracking tools. They show where users click, move and scroll–how they engage with a page. Heatmaps detail interaction with a designed interface; tree testing narrows the focus on navigation paths.

●  Usability Testing: Observers watch users interact with your product to complete tasks. Unlike tree testing, this method covers design, content and interactions. Use tree testing for early IA checks and usability testing for a broader user experience overview.

●  A/B Testing: This compares two versions of a page or app to see which one users prefer. It's something that’s ideal for design decisions—meanwhile, tree testing focuses on the IA beneath the design.

Benefits of Tree Testing

You already have a variety of UX methods. So, what benefits does tree testing provide?

  1. It's Efficient: You can set up, conduct and analyze a tree test within a week—a method that’s fast and effective.

  2. No Need for a Prototype: You only need a topic tree, some tasks and participants to start, so it’s perfect for early testing.

  3. Focuses on Structure: Tree testing isolates site structure for examination—and so lays a solid foundation for later design elements.

  4. Outperforms Closed Card Sorting: Tree testing offers a more realistic assessment than closed card sorting does—and that’s because it evaluates all tree levels effectively.

  5. Provides Objective Evaluation: You gain quantitative feedback on your headings and terms. This complements qualitative user feedback and stakeholder opinions.

  6. Recruitment is cheaper and easier. Tree tests can be as short as 10 to 15 minutes—which means it can be much less troublesome to find and reward participants than for hour-long usability tests.

When to Use Tree Testing?

Tree testing proves invaluable at several key points throughout the product development journey. These include:

●  Product Development: Information architecture is key whenever you’re creating a new website, mobile app or any digital platform. Tree testing lets you assess and confirm the usability of your planned structure without the need to design, write or code—so, you can do this before you spend time and resources on development.

●  Start of a Redesign: Early in the redesign, tree testing helps you understand how well your current IA setup works, and it finds problem areas that you’ve got to fix. Unlike regular usability tests that look at the design and feel, tree testing focuses on finding things easily.

●  After Card Sorting: Card sorting, a technique used to help design or evaluate the information architecture of a site, establishes how users think about the terms in your navigation. Specifically, it reports how often pairs of words are grouped and suggests navigation structures that take advantage of those pairings. However, it does not provide a single, definitive navigation structure unless you are fortunate enough to have participants who all think the same way. Testing your structure after card sorting makes sure it works well for users.

●  Identify the Best Information Grouping Method: Tree testing really shines when you aim to discover the most effective way to group information for your users. So, use it to compare different organizational schemes and see which one your target audience navigates easily.

Here’s one common way to work on your product’s structure:

●  Begin by testing how easy it is to find things on your current site or product. This will help you spot what may not work.

●  Use card sorting to help think of new ways to organize things.

●  Test these new structures with tree testing. This step’s about making sure your new setup helps users find what they need before you start on creating content or designs.

Tree Testing Examples

Tree testing can illuminate the usability of a website or app's structure through several illustrative examples.

1. E-commerce Site Navigation: This example tests if users can quickly find items like blazers or shorts, and it checks if the site’s categories are logical and easy to navigate.

An eCommerce website enabling shoppers to find different products easily. 

© Interaction Design Foundation, CC BY-SA 4.0

2. University Website: This tree test could help work out whether a university's website lets prospective students find information about specific majors, the admissions process and campus resources—and it evaluates the clarity and logic of the information organization.

A university website guiding future students to majors, admissions, and campus resources. 

© Interaction Design Foundation, CC BY-SA 4.0

3. Government Website: This example can assess whether citizens can easily find the government services they’re after. It would highlight any confusing navigation or labeling within the website's structure, point the way for a designer to address such usability issues and help make government services that much more accessible to users.

A government website to enable citizens to easily find the necessary government services. 

© Interaction Design Foundation, CC BY-SA 4.0

These examples highlight how tree testing evaluates a site's navigational structure—in that tree testing makes sure that users can easily find information and that you’ve logically organized it. When you do this kind of testing, you can identify and address navigational challenges before they impact the user experience and long before a brand’s official product release. That’s a big deal when it comes to web design, for example, with many important pages—including product pages—and internal links leading off from a landing page or home page.

How to Conduct Tree Testing: Your Step-by-Step Guide

Tree testing is a straightforward method for you to validate your website or app’s navigational structure. So, why not follow this guide to conduct a successful tree test:

Step 1: Define Your Objectives

To start with, set clear objectives for your tree test. You might want to see how easily users can find information. Maybe your aim is to spot confusing areas in your site's layout so you can iron out any kinks. Or you could compare various ways to organize content.

Clear goals help shape your test. You craft tasks based on these goals for participants. They also sharpen your focus when you analyze the data.

Clear objectives also make the testing process efficient—and when you have them, it ensures that you’ll receive relevant feedback. It’s a strategy that can really help you improve your site or app based on solid evidence.

Step 2: Build Your Tree

For this step, make a text-only blueprint of your site or app's structure—and this blueprint needs to include all main and sub-categories, but skip the design elements. It's crucial that the tree you create accurately mirrors your actual or planned navigation setup.

Every layer of your hierarchy needs to make sense and be easy to understand. Use clear, descriptive labels for each category. It helps test participants navigate your tree with just the text. This foundational work is what tests the structure's ability to guide users to their destinations without visual aids—which will tell you a great deal about this vital aspect of your design.

Step 3: Choose a Tool for Tree Testing and Input the Tree

After you’ve built your tree, it’s time to select a suitable tree testing tool and input your tree structure into it—this step is also vital. So, look for a user-friendly tool that aligns with your test goals and offers detailed analytics. Popular options include Optimal Workshop's Treejack, UserZoom or other UX testing platforms that support tree testing functionality, and you can even use a simple tool like Google Forms.

Once you’ve picked your tool, input the hierarchical structure that you created—a process that typically involves entering your categories and subcategories in a format which the tool can understand. You can do this through a simple text editor, or you might upload a structured file.

Review the tree within the tool for accuracy and usability before you design your tasks. This step doesn’t just help you set up your test environment; it allows for an efficient and effective testing process, too.

Step 4: Design Your Tasks

When you set up tasks for tree testing, think about the real actions that users would take on your site or app—and each task should give participants a goal to find something specific. This approach helps you evaluate if your information architecture (IA) really does meet user needs. For instance, if you want to test a retail site, you might ask users to "Find a pair of men's running shoes under $100." You’ve got to craft such tasks if you’re going to get insightful tree testing results in return.

Tasks in tree testing vary and play unique roles in assessing your IA:

●  Resource-Finding Tasks: These align with key business goals. You ask users to locate major products, services or vital information.

●  Potential Problem Areas: Identify new categories that stakeholders suggest or spark debate in card-sorting studies. Testing these areas helps spot and resolve navigational issues early.

●  Label or Location Comparisons: Test alternate names or placements for the same category to see which works best.

●  Warmup Task: Start with an easy task to familiarize participants with the testing process. It also helps weed out inattentive participants in unmoderated settings.

For every task, define the correct answer(s) or location(s) within the tree. This setup lets the testing tool automatically calculate success rates for each task. It offers clear metrics on your IA's performance.

Sometimes, you may wish to test only the upper levels of a hierarchy. This commonly happens when the lower levels are too numerous–such as in an e-commerce site with tens of thousands of items. But in some cases, your main interest may be in the categories above.

Step 5: Choose Your Participants

You must consider the quality of participants for your tree test—so, aim for individuals who mirror your real users regarding their behaviors and needs. When you get this diversity on board, it’ll ensure the feedback you receive reflects a broad spectrum of experiences.

Typically, a group of 5-15 users is enough to provide a solid basis for actionable insights. Make sure that the chosen participants have varying levels of familiarity with your site or app. This mix offers a balanced view of how intuitive your navigation feels to new and seasoned users.

As with most research tools, you need to decide what you’re trying to find out and who to conduct your research with. In this video, William Hudson talks about these important questions and the related issues of participant recruitment and screening.

Transcript

Step 6: Screen Your Participants

The quality of any research depends on the suitability of participants. Having decided whether to test with existing users or new visitors, you must ask participants carefully worded questions to assess their suitability. Do not ask direct questions about the site or app in question.

Participants may have been offered incentives to participate in the research and may simply answer to receive those incentives. Instead, ask general questions, such as “How often have you used the following websites/apps?”. The site or app you’re working on will turn up on a list along with several others. If participants don’t qualify, the testing tool will allow you to politely refuse their involvement.

William Hudson discusses this in more detail below.

Transcript

Step 7: Run the Test

Use your chosen tree testing tool to launch the test and share it with your participants. These tools will monitor how users navigate the tree and track their choices, clicks and time spent on each task. This provides valuable data—and potentially extremely useful insights—on user interaction with your information architecture (IA).

Step 8: Analyze the Results

Review the collected data to understand user behavior. Look at where users clicked, how many tries it took them to find the correct category and at which points they stopped or turned back. Spot patterns in this data to understand areas of your IA that may confuse or slow users.

When you analyze tree test results, focus on key metrics: success rate, directness, time and path.

●  Success Rate: This is the percentage of participants who completed a task.

●  Directness: This measures how many users found the correct answer on their first attempt without having to backtrack.

●  Time: Look at how long it took participants to complete each task.

●  Path: Examine users' routes through the tree so you can understand their navigation choices.

This step helps you spot important places where you can improve your site or app's structure. It points out where simplification or reorganization could make navigation more intuitive and hence the user experience a great deal better.

Step 9: Refine Your IA

It’s time to use the insights you got from your analysis to make informed changes to your IA. You may have to rename categories for better understanding, reorder them to follow a more logical progression or change the hierarchy to run in line better with user expectations.

Most importantly, the objective here is to make your site or app as easy and natural as possible for your users—based on their actual behaviors and feedback.

Step 10: Repeat as Necessary

Remember, tree testing is an iterative process—so, it's not about running a single test but about continuous improvement. After you've made changes, it's important to get back out and test again. This makes sure that your adjustments really will have the desired effect and that your refined IA meets user needs more effectively. Regular testing and refinement help gradually improve the usability of your site or app to be the best it can be.

The Pros and Cons of Tree Testing Tools

Tree testing tools offer a specialized approach to evaluate the usability of a website or application's information architecture (IA). So, here's a breakdown of their advantages and disadvantages:

Pros of Tree Testing Tools

  1. Focused Insight: Tree testing isolates the structure of your IA, and it lets you assess navigational paths without the influence of design elements specifically. This pure focus can uncover issues that visual design might obscure in other forms of testing.

  2. Cost-Effective: Tree testing doesn't call for a fully designed prototype or content, and it saves time and resources that you can put to use in more developed project stages. As tree-testing is typically very quick for participants, you can also lower the research costs.

  3. Quick Setup and Execution: Many user-friendly tree testing tools require minimal setup time. You can easily distribute tests online and complete them quickly.

  4. Quantitative Data: These tools offer quantitative insights. They can measure success rates, time and directness while you collect participant feedback—although you’d have to interact with the participants after they complete the tree test to get qualitative feedback.

  5. Wide Reach: You can distribute tests to a broad audience regardless of their geographical location—something that can really boost the diversity of your user research.

Cons of Tree Testing Tools

  1. Lack of Context: Participants might struggle to make realistic decisions without visual and content cues in front of them. What’s more, the test environment doesn't replicate the actual user experience.

  2. Overemphasis on Structure: Tree testing focuses solely on the IA. It might lead to overlooking how other elements—like design and content—impact usability and the user experience.

  3. Participant Misinterpretation: The abstract nature of tree testing may confuse users as they might be unfamiliar with such tests. What’s more, you may not understand why participants navigated in a certain way when you conduct tree testing remotely.

  4. Limited Engagement: The text-based approach mightn’t engage users as fully as interactive prototypes could.

  5. Analysis Complexity: You may find it easy to collect data; interpreting it, though—especially understanding the reasons behind users' navigational choices—can be challenging and demand additional qualitative research.

User research helps you understand more about the users before you start with product development or before you start the design. That’s when all research methods come into play. Watch William Hudson, CEO of Syntagm, UX expert and Author, discuss the common practices for user research and when to use them.

Transcript

Using Methods Together or Separately

●  Together: Pair card sorting with tree testing to build and validate your IA. After you refine the IA, add first-click testing and heatmaps to understand interactions with your interface.

●  Separately: Opt for tree testing to refine your site's or app's structure early. Switch to usability testing, A/B testing and heatmaps at later stages for insights into the user experience, including design and content.

Tree Testing Tools

You need the right tool for tree testing for better UX research. Look at recommendations for tools that stand out and their pros and cons.

1. UserTesting 

Screenshot of the UserTesting platform

© UserTesting, Fair Use

UserTesting serves as a human insight platform that focuses on video recording. It simplifies the design process for digital tools through insights into the target audience's behavior across various experiences and explanations for these behaviors.

Pros

●  Quick participant responses

●  Clear report dashboard

●  Reuses screener questions

●  Offers a broad range of testing options

Cons

●  Poorly-designed website

●  More suited for B2C than B2B studies

●  Expensive for larger teams to access

●  Lacks a tagging structure

●  Advanced features locked behind higher plans

2. Optimal Workshop Treejack 

Screenshot of the Optimal Workshop platform for tree testing.

© Treejack, Fair Use

Optimal Workshop is a UX research platform that offers testing, participant recruiting and product features analysis in one place. They have a tree testing tool called Treejack. It helps you identify wrongly placed menu items. You can then fix the mistakes to create an intuitive information architecture.

Pros

●  Organizes feedback data effectively

●  Good design interface

●  Fast, understandable graphic reports

Cons

●  Performance issues with larger studies

●  Can be expensive for smaller entities

●  High learning curve for non-tech users

3. UXtweak 

Screenshot of the UXtweak research platform for tree testing and gathering insights. 

© UXtweak, Fair Use 

UXtweak is a research platform with various tools to enhance user experience—empowering users to build detailed studies, customize tasks and analyze results through advanced segmentation and filtering. You can create and share in-depth PDF reports for collaboration with teams or clients. What’s more, you can craft studies from scratch, import data for testing and collect insights with precision, too.

Pros

●  User-friendly interface with GTM manager integration

●  Advanced user session filter

●  Recruiting widget and direct tree upload from your website

●  Flexible tree building from scratch or import

Cons

●  Occasional bugs in task creation

●  Complexity may deter non-technical users

4. UXmetrics

Screenshot of the UXmetrics tool for tree testing.

© UXmetrics, Fair Use 

UXmetrics provides a robust tool designed to refine and validate information architecture. It caters to remote and in-person testing and supports quick setup—plus, it provides visual breadcrumbs for easy path tracking.

 Pros

 ●  Works for remote and in-person testing

●   Automated analysis for insights

●   Moderated or unmoderated testing options

●   Provides ability to manage individual participants with ease

 Cons

●  Learning curve for creating tests

●  Budget constraints for smaller teams

5. Maze 

Screenshot of the Maze platform interface facilitating rapid, actionable insights via remote, unmoderated testing. 

© Maze, Fair Use

Maze is a user-testing platform that enables rapid, actionable insights through remote, unmoderated testing. It helps you test prototypes, validate ideas and gather user feedback efficiently. The tool integrates with design tools to streamline workflows, and you can use it for iterative testing and decision-making in your design process.

Pros

●  Rapid testing cycle

●  Direct integration with design tools

●  Cost-effective

Cons

●  Limited testing methods

●  New users need time to understand the tool

●  Doesn’t support mobile app testing

The Take Away 

Tree testing is crucial to access a website or app's navigation efficiency—a vital part of the user experience—and it focuses on testing the information architecture (IA) where users interact with a text-based menu layout without design distraction. This method proves beneficial during the different phases of product development. You have certain key points to remember during tree testing:

●  Start with clear goals to focus your test.

●  Build a tree that shows your menu's structure clearly.

●  Pick the right people for the test to get useful feedback.

●  Use a good tree testing tool to run your test smoothly.

●  Look closely at the results to make your menu better and easier to use.

Armed with insights from your tree testing, you’ll have a clear path forward to set out your web pages and more. Refine your information architecture based on feedback so you can make your website or app more intuitive and user-friendly. As the roots of tree testing are firmly planted in the reality of how users get to grips with what you set before them, you’ll be much more likely to enjoy some bountiful fruits of your labors when it comes to iterating towards a truly great digital solution.

Where to Learn More

Read Tree Testing for Websites by UX Designer/Researcher and Information Architect, Dave O'Brien.

Take our course Data-Driven Design: Quantitative Research for UX 

Understand the best way to interpret the results of tree testing from the article Analyzing tree test results.  

Use Notion’s Tree testing for UX Research template to get started.  

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