5 key areas for effective ResearchOPs

Introduction

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User research is invaluable, but in fast-paced environments, researchers often struggle with tight deadlines, limited resources, and the need to prove their impact. In our recent UX Insider webinar, Weidan Li, Senior UX Researcher at Seek, shared insights on Efficient Research—an approach that optimizes Speed, Quality, and Impact to maximize the return on investment (ROI) of understanding customers.

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At the heart of this approach is the Efficient Research Framework, which balances these three critical factors:

• Speed – Conducting research quickly without sacrificing key insights.
• Quality – Ensuring rigor and reliability in findings.
• Impact – Making sure research leads to meaningful business and product changes.

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Within this framework, Weidan outlined nine tactics that help UX researchers work more effectively. Let’s dive in.

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1. Time Allocation: Invest in What Matters Most

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Not all research requires the same level of depth. Efficient researchers prioritize their time by categorizing projects based on urgency and impact:

• High-stakes decisions (e.g., launching a new product) require deep research.
• Routine optimizations (e.g., tweaking UI elements) can rely on quick testing methods.
• Low-impact changes may not need research at all.

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By allocating time wisely, researchers can avoid spending weeks on minor issues while ensuring critical decisions are well-informed.

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2. Assistance of AI: Let Technology Handle the Heavy Lifting

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AI is transforming UX research, enabling faster and more scalable insights. Weidan suggests using AI to:

• Automate data analysis – AI can quickly analyze survey responses, transcripts, and usability test results.
• Generate research summaries – Tools like ChatGPT can help synthesize findings into digestible insights.
• Speed up recruitment – AI-powered platforms can help find and screen participants efficiently.

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While AI can’t replace human judgment, it can free up researchers to focus on higher-value tasks like interpreting results and influencing strategy.

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3. Collaboration: Make Research a Team Sport

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Research has a greater impact when it’s embedded into the product development process. Weidan emphasizes:

• Co-creating research plans with designers, PMs, and engineers to align on priorities.
• Involving stakeholders in synthesis sessions so insights don’t sit in a report.
• Encouraging non-researchers to run lightweight studies, such as A/B tests or quick usability checks.

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When research is shared and collaborative, it leads to faster adoption of insights and stronger decision-making.

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4. Prioritization: Focus on the Right Questions

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With limited resources, researchers must choose their battles wisely. Weidan recommends using a prioritization framework to assess:

• Business impact – Will this research influence a high-stakes decision?
• User impact – Does it address a major pain point?
• Feasibility – Can we conduct this research quickly and effectively?

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By filtering out low-priority projects, researchers can avoid research for research’s sake and focus on what truly drives change.

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5. Depth of Understanding: Go Beyond Surface-Level Insights

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Speed is important, but efficient research isn’t about cutting corners. Weidan stresses that even quick studies should provide a deep understanding of users by:

• Asking why, not just what – Observing behavior is useful, but uncovering motivations is key.
• Using triangulation – Combining methods (e.g., usability tests + surveys) to validate findings.
• Revisiting past research – Leveraging existing insights instead of starting from scratch.

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Balancing speed with depth ensures research is not just fast, but meaningful.

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6. Anticipation: Stay Ahead of Research Needs

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Proactive researchers don’t wait for stakeholders to request studies—they anticipate needs and set up research ahead of time. This means:

• Building a research roadmap that aligns with upcoming product decisions.
• Running continuous discovery research so teams have a backlog of insights to pull from.
• Creating self-serve research repositories where teams can find relevant past studies.

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By anticipating research needs, UX teams can reduce last-minute requests and deliver insights exactly when they’re needed.

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7. Justification of Methodology: Explain Why Your Approach Works

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Stakeholders may question research methods, especially when they seem time-consuming or expensive. Weidan highlights the importance of educating teams on why specific methods are used:

• Clearly explain why qualitative research is needed when stakeholders push for just numbers.
• Show real-world examples of how past research has led to business success.
• Provide a trade-off analysis (e.g., “This method is faster but provides less depth”) to help teams make informed choices.

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A well-justified approach ensures research is respected and acted upon.

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8. Individual Engagement: Tailor Research Communication to Your Audience

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Not all stakeholders consume research the same way. Weidan recommends adapting insights to fit different audiences:

• Executives – Focus on high-level impact and key takeaways.
• Product teams – Provide actionable recommendations tied to specific features.
• Designers & Engineers – Share usability findings with video clips or screenshots.

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By delivering insights in the right format, researchers increase the likelihood of stakeholder buy-in and action.

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9. Business Actions: Ensure Research Leads to Real Change

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The ultimate goal of research is not just understanding users—but driving business decisions. To ensure research leads to action:

• Follow up on implementation – Track whether teams apply the insights.
• Tie findings to key metrics – Show how research affects conversion rates, retention, or engagement.
• Advocate for iterative research – Encourage teams to re-test and refine based on new data.

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Research is most valuable when it translates into real business outcomes.

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Final Thoughts: Research That Moves the Needle

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Efficient research is not just about doing more, faster—it’s about balancing speed, quality, and impact to maximize its influence. Weidan’s nine tactics help UX researchers work smarter by:

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✔️  Prioritizing high-impact work
✔️  Leveraging AI and collaboration
✔️  Communicating research in a way that drives action

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By adopting these strategies, UX teams can ensure their research is not just insightful, but transformational.

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Watch the full webinar here

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Knowing and understanding why and how your users use your product is invaluable for getting to the nitty gritty of usability. Delving deep with probing questions into motivation or skimming over looking for issues can equally be informative. 

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Put super simply, usability testing literally is testing how usable your product is for your users. If your product isn’t usable users often won’t complete their task, let alone come back for more. No one wants to lose users before they even get started. Usability testing gets under their skin and really into the how, why and what they want (and equally what they don’t).

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As we have been getting used to video calling regularly and using the internet for interactions, usability testing has followed suit. Being able to access participants remotely has allowed us to diversify the participant pool by not being restricted to those that are close enough to be in-person. This has also allowed an increase in the number of participants per test, as it becomes more cost-effective to perform remote usability testing.

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But if we’re remote, does this mean it can’t be moderated? No - remote testing, along with modern technology, can mean that remote testing can be facilitated and moderated. But what is the best method - moderated or unmoderated?

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What is moderated remote research testing?

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In traditional usability testing, moderated research is done in person. With the moderator and the participant in the same physical space. This, of course, allows for conversation and observational behavioral monitoring. Meaning the moderator can note not only what the participant answers but how and even make note of the body language, surroundings, and other influencing factors. 

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This has also meant that traditionally, the participant pool has been limited to those that can be available (and close enough) to make it into a facility for testing. And being in person has meant it takes time (and money) to perform these tests.

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As technology has moved along and the speed of internet connections and video calling has increased, this has opened up a world of opportunities for usability testing. Allowing usability testing to be done remotely. Moderators can now set up testing remotely and ‘dial in’ to observe participants anywhere they are. And potentially even running focus groups or other testing in a group format across the internet. 

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Pros of moderated remote research testing:

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- In-depth gathering of insights through a back-and-forth conversation and observing of the participants.

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- Follow-up questions don’t underestimate the value of being available to ask questions throughout the testing. And following up in the moment.

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- Observational monitoring noticing and noting the environment and how the participants are behaving, can give more insight into how or why they choose to make a decision.

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- Quick remote testing can be quicker to start, find participants, and complete than in-person. This is because you only need to set up a time to connect via the internet, rather than coordinating travel times, etc.

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- Location (local and/or international) Testing online removes reliance on participants being physically present for the testing. This broadens your ability to broaden the pool, and participants can be either within your country or global. 

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Cons of moderated remote research testing:

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- Time-consuming having to be present at each test takes time. As does analyzing the data and insights generated. But remember, this is quality data.

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- Limited interactions with any remote testing there is only so much you can observe or understand across the window of a computer screen. It can be difficult to have a grasp on all the factors that might be influencing your participants.

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What is unmoderated remote research testing?

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In its most simple sense, unmoderated user testing removes the ‘moderated’ part of the equation. Instead of having a facilitator guide participants through the test, participants are left to complete the testing by themselves and in their own time. For the most part, everything else stays the same. 

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Removing the moderator, means that there isn’t anyone to respond to queries or issues in the moment. This can either delay, influence, or even potentially force participants to not complete or maybe not be as engaged as you may like. Unmoderated research testing suits a very simple and direct type of test. With clear instructions and no room for inference. 

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Pros of unmoderated remote research testing:

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- Speed and turnaround,  as there is no need to schedule meetings with each and every participant. Unmoderated usability testing is usually much faster to initiate and complete.

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- Size of study (participant numbers) unmoderated usability testing allows you to collect feedback from dozens or even hundreds of users at the same time. 

- Location (local and/or international) Testing online removes reliance on participants being physically present for the testing, which broadens your participant pool.  And unmoderated testing means that it literally can be anywhere while participants complete the test in their own time.

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Cons of unmoderated remote research testing:

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- Follow-up questions as your participants are working on their own and in their own time, you can’t facilitate and ask questions in the moment. You may be able to ask limited follow-up questions.

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- Products need to be simple to use unmoderated testing does not allow for prototypes or any product or site that needs guidance. 

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- Low participant support without the moderator any issues with the test or the product can’t be picked up immediately and could influence the output of the test.

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When should you do moderated vs unmoderated remote usability testing?

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Each moderated and unmoderated remote usability testing have its use and place in user research. It really depends on the question you are asking and what you are wanting to know.

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Moderated testing allows you to gather in-depth insights, follow up with questions, and engage the participants in the moment. The facilitator has the ability to guide participants to what they want to know, to dig deeper, or even ask why at certain points. This method doesn’t need as much careful setup as the participants aren’t on their own. While this is all done online, it does still allow connection and conversation. This method allows for more investigative research. Looking at why users might prefer one prototype to another. Or possibly tree testing a new website navigation to understand where they might get lost and querying why the participant made certain choices.

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Unmoderated testing, on the other hand, is literally leaving the participants to it. This method needs very careful planning and explaining upfront. The test needs to be able to be set and run without a moderator. This lends itself more to wanting to know a direct answer to a query. Such as a card sort on a website to understand how your users might sort information. Or a first click to see how/where users will click on a new website.

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Planning your next user test? Here’s how to choose the right method

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With the ability to expand our pool of participants across the globe with all of the advances (and acceptance of) technology and video calling etc, the ability to expand our understanding of users’ experiences is growing. Remote usability testing is a great option when you want to gather information from users in the real world. Depending on your query, moderated or unmoderated usability testing will suit your study. As with all user testing, being prepared and planning ahead will allow you to make the most of your test.

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.

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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.

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What is user research? 🗣️🧑🏻💻

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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. 

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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. 

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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.

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Research methods for information architecture ⚒️

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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.

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Card Sorting 🃏

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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. 

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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.

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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.

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Tree Testing 🌲

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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.

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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.

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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?

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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.

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Combining information architecture research methods 🏗

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

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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? 

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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.