April 14, 2016
6 min

Using paper prototypes in UX

In UX research we are told again and again that to ensure truly user-centered design, it’s important to test ideas with real users as early as possible. There are many benefits that come from introducing the voice of the people you are designing for in the early stages of the design process. The more feedback you have to work with, the more you can inform your design to align with real needs and expectations. In turn, this leads to better experiences that are more likely to succeed in the real world.It is not surprising then that paper prototypes have become a popular tool used among researchers. They allow ideas to be tested as they emerge, and can inform initial designs before putting in the hard yards of building the real thing. It would seem that they’re almost a no-brainer for researchers, but just like anything out there, along with all the praise, they have also received a fair share of criticism, so let’s explore paper prototypes a little further.

What’s a paper prototype anyway? 🧐📖

Paper prototyping is a simple usability testing technique designed to test interfaces quickly and cheaply. A paper prototype is nothing more than a visual representation of what an interface could look like on a piece of paper (or even a whiteboard or chalkboard). Unlike high-fidelity prototypes that allow for digital interactions to take place, paper prototypes are considered to be low-fidelity, in that they don’t allow direct user interaction. They can also range in sophistication, from a simple sketch using a pen and paper to simulate an interface, through to using designing or publishing software to create a more polished experience with additional visual elements.

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Different ways of designing paper prototypes, using OptimalSort as an example

Showing a research participant a paper prototype is far from the real deal, but it can provide useful insights into how users may expect to interact with specific features and what makes sense to them from a basic, user-centered perspective. There are some mixed attitudes towards paper prototypes among the UX community, so before we make any distinct judgements, let's weigh up their pros and cons.

Advantages 🏆

  • They’re cheap and fastPen and paper, a basic word document, Photoshop. With a paper prototype, you can take an idea and transform it into a low-fidelity (but workable) testing solution very quickly, without having to write code or use sophisticated tools. This is especially beneficial to researchers who work with tight budgets, and don’t have the time or resources to design an elaborate user testing plan.
  • Anyone can do itPaper prototypes allow you to test designs without having to involve multiple roles in building them. Developers can take a back seat as you test initial ideas, before any code work begins.
  • They encourage creativityFrom both the product teams participating in their design, but also from the users. They require the user to employ their imagination, and give them the opportunity express their thoughts and ideas on what improvements can be made. Because they look unfinished, they naturally invite constructive criticism and feedback.
  • They help minimize your chances of failurePaper prototypes and user-centered design go hand in hand. Introducing real people into your design as early as possible can help verify whether you are on the right track, and generate feedback that may give you a good idea of whether your idea is likely to succeed or not.

Disadvantages 😬

  • They’re not as polished as interactive prototypesIf executed poorly, paper prototypes can appear unprofessional and haphazard. They lack the richness of an interactive experience, and if our users are not well informed when coming in for a testing session, they may be surprised to be testing digital experiences on pieces of paper.
  • The interaction is limitedDigital experiences can contain animations and interactions that can’t be replicated on paper. It can be difficult for a user to fully understand an interface when these elements are absent, and of course, the closer the interaction mimics the final product, the more reliable our findings will be.
  • They require facilitationWith an interactive prototype you can assign your user tasks to complete and observe how they interact with the interface. Paper prototypes, however, require continuous guidance from a moderator in communicating next steps and ensuring participants understand the task at hand.
  • Their results have to be interpreted carefullyPaper prototypes can’t emulate the final experience entirely. It is important to interpret their findings while keeping their limitations in mind. Although they can help minimize your chances of failure, they can’t guarantee that your final product will be a success. There are factors that determine success that cannot be captured on a piece of paper, and positive feedback at the prototyping stage does not necessarily equate to a well-received product further down the track.

Improving the interface of card sorting, one prototype at a time 💡

We recently embarked on a research project looking at the user interface of our card-sorting tool, OptimalSort. Our research has two main objectives — first of all to benchmark the current experience on laptops and tablets and identify ways in which we can improve the current interface. The second objective is to look at how we can improve the experience of card sorting on a mobile phone.

Rather than replicating the desktop experience on a smaller screen, we want to create an intuitive experience for mobiles, ensuring we maintain the quality of data collected across devices.Our current mobile experience is a scaled down version of the desktop and still has room for improvement, but despite that, 9 per cent of our users utilize the app. We decided to start from the ground up and test an entirely new design using paper prototypes. In the spirit of testing early and often, we decided to jump right into testing sessions with real users. In our first testing sprint, we asked participants to take part in two tasks. The first was to perform an open or closed card sort on a laptop or tablet. The second task involved using paper prototypes to see how people would respond to the same experience on a mobile phone.

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Context is everything 🎯

What did we find? In the context of our research project, paper prototypes worked remarkably well. We were somewhat apprehensive at first, trying to figure out the exact flow of the experience and whether the people coming into our office would get it. As it turns out, people are clever, and even those with limited experience using a smartphone were able to navigate and identify areas for improvement just as easily as anyone else. Some participants even said they prefered the experience of testing paper prototypes over a laptop. In an effort to make our prototype-based tasks easy to understand and easy to explain to our participants, we reduced the full card sort to a few key interactions, minimizing the number of branches in the UI flow.

This could explain a preference for the mobile task, where we only asked participants to sort through a handful of cards, as opposed to a whole set.The main thing we found was that no matter how well you plan your test, paper prototypes require you to be flexible in adapting the flow of your session to however your user responds. We accepted that deviating from our original plan was something we had to embrace, and in the end these additional conversations with our participants helped us generate insights above and beyond the basics we aimed to address. We now have a whole range of feedback that we can utilize in making more sophisticated, interactive prototypes.

Whether our success with using paper prototypes was determined by the specific setup of our testing sessions, or simply by their pure usefulness as a research technique is hard to tell. By first performing a card sorting task on a laptop or tablet, our participants approached the paper prototype with an understanding of what exactly a card sort required. Therefore there is no guarantee that we would have achieved the same level of success in testing paper prototypes on their own. What this does demonstrate, however, is that paper prototyping is heavily dependent on the context of your assessment.

Final thoughts 💬

Paper prototypes are not guaranteed to work for everybody. If you’re designing an entirely new experience and trying to describe something complex in an abstracted form on paper, people may struggle to comprehend your idea. Even a careful explanation doesn’t guarantee that it will be fully understood by the user. Should this stop you from testing out the usefulness of paper prototypes in the context of your project? Absolutely not.

In a perfect world we’d test high fidelity interactive prototypes that resemble the real deal as closely as possible, every step of the way. However, if we look at testing from a practical perspective, before we can fully test sophisticated designs, paper prototypes provide a great solution for generating initial feedback.In his article criticizing the use of paper prototypes, Jake Knapp makes the point that when we show customers a paper prototype we’re inviting feedback, not reactions. What we found in our research however, was quite the opposite.

In our sessions, participants voiced their expectations and understanding of what actions were possible at each stage, without us having to probe specifically for feedback. Sure we also received general comments on icon or colour preferences, but for the most part our users gave us insights into what they felt throughout the experience, in addition to what they thought.

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6 things to consider when setting up a research practice

With UX research so closely tied to product success, setting up a dedicated research practice is fast becoming important for many organizations. It’s not an easy process, especially for organizations that have had little to do with research, but the end goal is worth the effort.

But where exactly are you supposed to start? This article provides 6 key things to keep in mind when setting up a research practice, and should hopefully ensure you’ve considered all of the relevant factors.

1) Work out what your organization needs

The first and most simple step is to take stock of the current user research situation within the organization. How much research is currently being done? Which teams or individuals are talking to customers on an ongoing basis? Consider if there are any major pain points with the current way research is being carried out or bottlenecks in getting research insights to the people that need them. If research isn't being practiced, identify teams or individuals that don't currently have access to the resources they need, and consider ways to make insights available to the people that need them.

2) Consolidate your insights

UX research should be communicating with nearly every part of an organization, from design teams to customer support, engineering departments and C-level management. The insights that stem from user research are valuable everywhere. Of course, the opposite is also true: insights from support and sales are useful for understanding customers and how the current product is meeting people's needs.

When setting up a research practice, identify which teams you should align with, and then reach out. Sit down with these teams and explore how you can help each other. For your part, you’ll probably need to explain the what and why of user research within the context of your organization, and possibly even explain at a basic level some of the techniques you use and the data you can obtain.

Then, get in touch with other teams with the goal of learning from them. A good research practice needs a strong connection to other parts of the business with the express purpose of learning. For example, by working with your organization’s customer support team, you’ll have a direct line to some of the issues that customers deal with on a regular basis. A good working relationship here means they’ll likely feed these insights back to you, in order to help you frame your research projects.

By working with your sales team, they’ll be able to share issues prospective customers are dealing with. You can follow up on this information with research, the results of which can be fed into the development of your organization’s products.

It can also be fruitful to develop an insights repository, where researchers can store any useful insights and log research activities. This means that sales, customer support and other interested parties can access the results of your research whenever they need to.

When your research practice is tightly integrated other key areas of the business, the organization is likely to see innumerable benefits from the insights>product loop.

3) Figure out which tools you will use

By now you’ve hopefully got an idea of how your research practice will fit into the wider organization – now it’s time to look at the ways in which you’ll do your research. We’re talking, of course, about research methods and testing tools.

We won’t get into every different type of method here (there are plenty of other articles and guides for that), but we will touch on the importance of qualitative and quantitative methods. If you haven’t come across these terms before, here’s a quick breakdown:

  • Qualitative research – Focused on exploration. It’s about discovering things we cannot measure with numbers, and often involves speaking with users through observation or user interviews.
  • Quantitative research – Focused on measurement. It’s all about gathering data and then turning this data into usable statistics.

All user research methods are designed to deliver either qualitative or quantitative data, and as part of your research practice, you should ensure that you always try to gather both types. By using this approach, you’re able to generate a clearer overall picture of whatever it is you’re researching.

Next comes the software. A solid stack of user research testing tools will help you to put research methods into practice, whether for the purposes of card sorting, carrying out more effective user interviews or running a tree test.

There are myriad tools available now, and it can be difficult to separate the useful software from the chaff. Here’s a list of research and productivity tools that we recommend.

Tools for research

Here’s a collection of research tools that can help you gather qualitative and quantitative data, using a number of methods.

  • Treejack – Tree testing can show you where people get lost on your website, and help you take the guesswork out of information architecture decisions. Like OptimalSort, Treejack makes it easy to sort through information and pairs this with in-depth analysis features.
  • dScout – Imagine being able to get video snippets of your users as they answer questions about your product. That’s dScout. It’s a video research platform that collects in-context “moments” from a network of global participants, who answer your questions either by video or through photos.
  • Ethnio – Like dScout, this is another tool designed to capture information directly from your users. It works by showing an intercept pop-up to people who land on your website. Then, once they agree, it runs through some form of research.
  • OptimalSort – Card sorting allows you to get perspective on whatever it is you’re sorting and understand how people organize information. OptimalSort makes it easier and faster to sort through information, and you can access powerful analysis features.
  • Reframer – Taking notes during user interviews and usability tests can be quite time-consuming, especially when it comes to analyze the data. Reframer gives individuals and teams a single tool to store all of their notes, along with a set of powerful analysis features to make sense of their data.
  • Chalkmark – First-click testing can show you what people click on first in a user interface when they’re asked to complete a task. This is useful, as when people get their first click correct, they’re much more likely to complete their task. Chalkmark makes the process of setting up and running a first-click test easy. What’s more, you’re given comprehensive analysis tools, including a click heatmap.

Tools for productivity

These tools aren’t necessarily designed for user research, but can provide vital links in the process.

  • Whimsical – A fantastic tool for user journeys, flow charts and any other sort of diagram. It also solves one of the biggest problems with online whiteboards – finicky object placement.
  • Descript – Easily transcribe your interview and usability test audio recordings into text.
  • Google Slides – When it inevitably comes time to present your research findings to stakeholders, use Google Slides to create readable, clear presentations.

4) Figure out how you’ll track findings over time

With some idea of the research methods and testing tools you’ll be using to collect data, now it’s time to think about how you’ll manage all of this information. A carefully ordered spreadsheet and folder system can work – but only to an extent. Dedicated software is a much better choice, especially given that you can scale these systems much more easily.

A dedicated home for your research data serves a few distinct purposes. There’s the obvious benefit of being able to access all of your findings whenever you need them, which means it’s much easier to create personas if the need arises. A dedicated home also means your findings will remain accessible and useful well into the future.

When it comes to software, Reframer stands as one of the better options for creating a detailed customer insights repository as you’re able to capture your sessions directly in the tool and then apply tags afterwards. You can then easily review all of your observations and findings using the filtering options. Oh, and there’s obviously the analysis side of the tool as well.

If you’re looking for a way to store high-level findings – perhaps if you’re intending to share this data with other parts of your organization – then a tool like Confluence or Notion is a good option. These tools are basically wikis, and include capable search and navigation options too.

5) Where will you get participants from?

A pool of participants you can draw from for your user research is another important part of setting up a research practice. Whenever you need to run a study, you’ll have real people you can call on to test, ask questions and get feedback from.

This is where you’ll need to partner other teams, likely sales and customer support. They’ll have direct access to your customers, so make sure to build a strong relationship with these teams. If you haven’t made introductions, it can helpful to put together a one-page sheet of information explaining what UX research is and the benefits of working with your team.

You may also want to consider getting in some external help. Participant recruitment services are a great way to offload the heavy lifting of sourcing quality participants – often one of the hardest parts of the research process.

6) Work out how you'll communicate your research

Perhaps one of the most important parts of being a user researcher is taking the findings you uncover and communicating them back to the wider organization. By feeding insights back to product, sales and customer support teams, you’ll form an effective link between your organization’s customers and your organization. The benefits here are obvious. Product teams can build products that actually address customer pain points, and sales and support teams will better understand the needs and expectations of customers.

Of course, it isn’t easy to communicate findings. Here are a few tips:

  • Document your research activities: With a clear record of your research, you’ll find it easier to pull out relevant findings and communicate these to the right teams.
  • Decide who needs what: You’ll probably find that certain roles (like managers) will be best served by a high-level overview of your research activities (think a one-page summary), while engineers, developers and designers will want more detailed research findings.

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Top Tasks in UX: How to Identify What Really Matters to Your Users

All the way back in 2014, the web passed a pretty significant milestone: 1 billion websites. Of course, fewer than 200 million of these are actually active as of 2019, but there’s an important underlying point. People love to create. If the current digital age that we live in has taught us anything, it’s that it’s never been as easy to get information and ideas out into the world.

Understandably, this ability has been used – and often misused. Overloaded, convoluted websites are par for the course, with a common tactic for website renewal being to simply update them with a new coat of paint while ignoring the swirling pile of outdated and poorly organized content below.

So what are you supposed to do when trying to address this problem on your own website or digital project? Well, there’s a fairly robust technique called top tasks management. Here, we’ll go over exactly what it is and how you can use it.

Getting to grips with top tasks

Ideally, all websites would be given regular, comprehensive reviews. Old content could be revisited and analyzed to see whether it’s still actually serving a purpose. If not, it could be reworked or just removed entirely. Based on research, content creators could add new content to address user needs. Of course, this is just the ideal. The reality is that there’s never really enough time or resource to manage the growing mass of digital content in this way. The solution is to hone in on what your users actually use your website for and tailor the experience accordingly by looking at top tasks.

What are top tasks? They're basically a small set of tasks (typically around 5, but up to 10 is OK too) that are most important to your users. The thinking goes that if you get these core tasks right, your website will be serving the majority of your users and you’ll be more likely to retain them. Ignore top tasks (and any sort of task analysis), and you’ll likely find users leaving your website to find something else that better fits their needs.

The counter to top tasks is tiny tasks. These are everything on a website that’s not all that important for the people actually using it. Commonly, tiny tasks are driven more by the organization’s needs than those of the users. Typically, the more important a task is to a user, the less information there is to support it. On the other hand, the less important a task is to a user, the more information there is. Tiny tasks stem very much from ‘organization first’ thinking, wherein user needs are placed lower on the list of considerations.

According to Jerry McGovern (who penned an excellent write-up of top tasks on A List Apart), the top tasks model says “Focus on what really matters (the top tasks) and defocus on what matters less (the tiny tasks).”

How to identify top tasks

Figuring out your top tasks is an important step in clearing away the fog and identifying what actually matters to your users. We’ll call this stage of the process task discovery, and these are the steps:

  1. Gather: Work with your organization to gather a list of all customer tasks
  2. Refine: Take this list of tasks to a smaller group of stakeholders and work it down into a shortlist
  3. User feedback: Go out to your users and get a representative sample to vote on them
  4. Finalise: Assemble a table of tasks with the one with the highest number of votes at the top and the lowest number of votes at the bottom

We’ll go into detail on the above steps, explaining the best way of handling each one. Keep in mind that this process isn’t something you’ll be able to complete in a week – it’s more likely a 6 to 8-week project, depending on the size of your website, how large your user base is and the receptiveness of your organization to help out.

Step 1: Gather – Figure out the long list of tasks

The first part of the task process is to get out into the wider organization and discover what your users are actually trying to accomplish on your website or by using your products. It’s all about getting into the minds of your users – trying to see the world through their eyes, effectively.

If you’re struggling to think of places where you might find customer tasks, here are some of the best sources:

  • Analytics: Take a deep dive into the analytics of your website or product to find out how people are using them. For websites, you’ll want to look at pages with high traffic and common downloads or interactions. The same applies to products – although the data you have access to will depend on the analytics systems in place.
  • Customer support teams: Your own internal support teams can be a great source of user tasks. Support teams commonly spend all day speaking to users, and as a result, are able to build up a cohesive understanding of the types of tasks users commonly attempt.
  • Sales teams: Similarly, sales teams are another good source of task data. Sales teams typically deal with people before they become your users, but a part of their job is to understand the problems they’re trying to solve and how your website or product can help.
  • Direct customer feedback: Check for surveys your organization has run in the past to see whether any task data already exists.
  • Social media: Head to Twitter, Facebook and LinkedIn to see what people are talking about with regards to your industry. What tasks are being mentioned?

It’s important to note that you need to cast a wide net when gathering task data. You can’t just rely on analytics data. Why? Well, downloads and page visits only reflect what you have, but not what your users might actually be searching for.

As for search, Jerry McGovern explains why it doesn’t actually tell the entire story: “When we worked on the BBC intranet, we found they had a feature called “Top Searches” on their homepage. The problem was that once they published the top searches list, these terms no longer needed to be searched for, so in time a new list of top searches emerged! Similarly, top tasks tend to get bookmarked, so they don’t show up as much in search. And the better the navigation, the more likely the site search is to reflect tiny tasks.”

At the end of the initial task-gathering stage you should be left with around 300 to 500 tasks. Of course, this can scale up or down depending on the size of the website or product.

Step 2: Refine – Create your shortlist

Now that you’ve got your long list of tasks, it’s time to trim them back until you’ve got a shortlist of 100 or less. Keep in mind that working through your long list of tasks is going to take some time, so plan for this process to take at least 4 weeks (but likely more).

It’s important to involve stakeholders from across the organization during the shortlist process. Bring in people from support, sales, product, marketing and leadership areas of the organization. In addition to helping you to create a more concise and usable list, the shortlist process helps your stakeholders to think about areas of overlap and where they may need to work together.

When working your list down to something more usable, try and consolidate and simplify. Stay away from product names as well as internal organization and industry jargon. With your tasks, you essentially want to focus on the underlying thing that a user is trying to do. If you were focusing on tasks for a bank, opt for “Transactions” instead of “Digital mobile payments”. Similarly, bring together tasks where possible. “Customer support”, “Help and support” and “Support center” can all be merged.

At a very technical level, it also helps to avoid lengthy tasks. Stick to around 7 to 8 words and try and avoid verbs, using them only when there’s really no other option. You’ll find that your task list becomes quite to navigate when tasks begin with “look”, “find” and “get”. Finally, stay away from specific audiences and demographics. You want to keep your tasks universal.

Step 3: User feedback – Get users to vote

With your shortlist created, it’s time to take it to your users. Using a survey tool like Optimal's Surveys, add in each one of your shortlisted tasks and have users rank 5 tasks on a scale from 1 to 5, with 5 being the most important and 1 being the least important.

If you’re thinking that your users will never take the time to work through such a long list, consider that the very length of the list means they’ll seek out the tasks that matter to them and ignore the ones that don’t.

A section of the customer survey in Questions.
A section of the customer survey in Questions.

Step 4: Finalize – Analyze your results

Now for the task analysis side of the project. What you want at the end of the user survey end of the project is a league table of entire shortlist of tasks. We’re going to use the example from Cisco’s top tasks project, which has been documented over at A List Apart by Gerry McGovern (who actually ran the project). The entire article is worth a read as it covers the process of running a top task project for a large organization.

Here’s what a league table of the top 20 tasks looks like from Cisco:

A league table of the top 20 tasks from Cisco’s top tasks project.
A league table of the top 20 tasks from Cisco’s top tasks project. Credit: Jerry McGovern.

Here’s the breakdown of the vote for Cisco’s tasks:

  • 3 tasks got the first 25 percent of the vote
  • 6 tasks got 25-50 percent of the vote
  • 14 tasks got 50-75 percent of the vote
  • 44 tasks got 75-100 percent of the vote

While the pattern may seem surprising, it’s actually not unusual. As Jerry explains: “We have done this process over 400 times and the same patterns emerge every single time.”

Final thoughts

Focusing on top tasks management is really a practice that needs to be conducted on a semi-regular basis. The approach benefits organizations in a multitude of ways, bringing different teams and people together to figure out how to best address why your users are coming to your website and what they actually need from you.

As we explained at the beginning of this article, top tasks is really about clearing away the fog and understanding on what really matters. Instead of spreading yourself thin and focusing on a host of tiny tasks, hone in on those top tasks that actually matter to your users.

Understanding how to improve your website

The top tasks approach is an effective way of giving you a clear idea of what you should be focusing on when designing or redesigning your website, but this should really just be one aspect of the work you do.

Utilizing a host of other UX research methods can give you a much more comprehensive idea of what’s working and what’s not. With card sorting, for example, you can learn how your users think the content on your website should be arranged. Then, with this data in hand, you can use tree testing to assemble draft structures of your website and test how people navigate their way through it. You can keep iterating on these structures to ensure you’ve created the most user-friendly navigation.

Take a look at our 101 guides to learn more about card sorting and tree testing, as well as the other user research methods you can use to make solid improvements to your website. If you’d rather just start putting methods into practice using user research tools, take our UX platform for a spin for free here.

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Different ways to test information architecture

We all know that building a robust information architecture (IA) can make or break your product. And getting it right can rely on robust user research. Especially when it comes to creating human-centered, intuitive products that deliver outstanding user experiences.

But what are the best methods to test your information architecture? To make sure that your focus is on building an information architecture that is truly based on what your users want, and need.

What is user research? 🗣️🧑🏻💻

With all the will in the world, your product (or website or mobile app) may work perfectly and be as intuitive as possible. But, if it is only built on information from your internal organizational perspective, it may not measure up in the eyes of your user. Often, organizations make major design decisions without fully considering their users. User research (UX) backs up decisions with data, helping to make sure that design decisions are strategic decisions. 

Testing your information architecture can also help establish the structure for a better product from the ground up. And ultimately, the performance of your product. User experience research focuses your design on understanding your user expectations, behaviors, needs, and motivations. It is an essential part of creating, building, and maintaining great products. 

Taking the time to understand your users through research can be incredibly rewarding with the insights and data-backed information that can alter your product for the better. But what are the key user research methods for your information architecture? Let’s take a look.

Research methods for information architecture ⚒️

There is more than one way to test your IA. And testing with one method is good, but with more than one is even better. And, of course, the more often you test, especially when there are major additions or changes, you can tweak and update your IA to improve and delight your user’s experience.

Card Sorting 🃏

Card sorting is a user research method that allows you to discover how users understand and categorize information. It’s particularly useful when you are starting the planning process of your information architecture or at any stage you notice issues or are making changes. Putting the power into your users’ hands and asking how they would intuitively sort the information. In a card sort, participants sort cards containing different items into labeled groups. You can use the results of a card sort to figure out how to group and label the information in a way that makes the most sense to your audience. 

There are a number of techniques and methods that can be applied to a card sort. Take a look here if you’d like to know more.

Card sorting has many applications. It’s as useful for figuring out how content should be grouped on a website or in an app as it is for figuring out how to arrange the items in a retail store.You can also run a card sort in person, using physical cards, or remotely with online tools such as OptimalSort.

Tree Testing 🌲

Taking a look at your information architecture from the other side can also be valuable. Tree testing is a usability method for evaluating the findability of topics on a product. Testing is done on a simplified text version of your site structure without the influence of navigation aids and visual design.

Tree testing tells you how easily people can find information on your product and exactly where people get lost. Your users rely on your information architecture – how you label and organize your content – to get things done.

Tree testing can answer questions like:

  • Do my labels make sense to people?
  • Is my content grouped logically to people?
  • Can people find the information they want easily and quickly? If not, what’s stopping them?

Treejack is our tree testing tool and is designed to make it easy to test your information architecture. Running a tree test isn’t actually that difficult, especially if you’re using the right tool. You’ll  learn how to set useful objectives, how to build your tree, write your tasks, recruit participants, and measure results.

Combining information architecture research methods 🏗

If you are wanting a fully rounded view of your information architecture, it can be useful to combine your research methods.

Tree testing and card sorting, along with usability testing, can give you insights into your users and audience. How do they think? How do they find their way through your product? And how do they want to see things labeled, organized, and sorted? 

If you want to get fully into the comparison of tree testing and card sorting, take a look at our article here, which compares the options and explains which is best and when. 

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