Think your company is truly user-centric? Think again. Our groundbreaking report on UX Research (UXR) in 2024 shatters common assumptions about our industry.
We've uncovered a startling gap between what companies say about user-centricity and what they actually do. Prepare to have your perceptions challenged as we reveal the true state of UXR integration and its untapped potential in today's business landscape.
The startling statistics
Here's a striking finding: only 16% of organizations have fully embedded UXR into their processes and culture. This disconnect between intention and implementation underscores the challenges in demonstrating and maximizing the true value of user research.
What's inside the white paper
In this comprehensive white paper, we explore:
How companies use and value UX research
Why it's hard to show how UX research helps businesses
Why having UX champions in the company matters
New ways to measure and show the worth of UX research
How to share UX findings with different people in the company
New trends changing how people see and use UX research
Stats sneak peek
- Only 16% of organizations have fully embedded UX Research (UXR) into their processes and culture. This highlights a significant gap between the perceived importance of user-centricity and its actual implementation in businesses.
- 56% of organizations aren't measuring the impact of UXR at all. This lack of measurement makes it difficult for UX researchers to demonstrate the value of their work to stakeholders.
- 68% of respondents believe that AI will have the greatest impact on the analysis and synthesis phase of UX research projects. This suggests that while AI is expected to play a significant role in UXR, it's seen more as a tool to augment human skills rather than replace researchers entirely.
The UX research crossroads
As our field evolves with AI, automation, and democratized research, we face a critical juncture: how do we articulate and amplify the value of UXR in this rapidly changing landscape? We’d love to know what you think! So DM us in socials and let us know what you’re doing to bridge the gap.
Are you ready to unlock the full potential of UXR in your organization?
Download our white paper for invaluable insights and actionable strategies that will help you showcase and maximize the value of user research. In an era of digital transformation, understanding and leveraging UXR's true worth has never been more crucial.
Keep an eye out for our upcoming blog series, where we'll delve deeper into key findings and strategies from the report. Together, we'll navigate the evolving UX landscape and elevate the value of user insights in driving business success and exceptional user experiences.
If you missed our recent live training on Prototype Testing, don’t worry—we’ve got everything you need right here! You can catch up at your convenience, so grab a cup of tea, put your feet up, and enjoy the show.
In the session, we explored the powerful new features of our Prototype Testing tool, offering a step-by-step guide to setting up, running, and analyzing your tests like a seasoned pro. This tool is a game-changer for your design workflow, helping you identify usability issues and gather real user feedback before committing significant resources to development.
Here’s a quick recap of the highlights:
1. Creating a prototype test from scratch using images
We walked through how to create a prototype test from scratch using static images. This method is perfect for early-stage design concepts, where you want to quickly test user flows without a fully interactive prototype.
2. Preparing your Figma prototype for testing
Figma users, we’ve got you covered! We discussed how to prepare your Figma prototype for the smoothest possible testing experience. From setting up interactions to ensuring proper navigation, these tips ensure participants have an intuitive experience during the test. For more detailed instructions, check out our help article
3. Seamless Figma prototype imports
One of the standout features of the tool is its seamless integration with Figma. We showed how easy it is to import your designs directly from Figma into Optimal, streamlining the setup process. You can bring your working files straight in, and resync when you need to with one click of a button.
4. Understanding usability metrics and analyzing results
We explored how to analyze the usability metrics, and walked through what the results can indicate on click maps and paths. These visual tools allow you to see exactly how participants navigate your design, making it easier to spot pain points, dead ends, or areas of friction. By understanding user behavior, you can rapidly iterate and refine your prototypes for optimal user experience.
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.
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.
Within this framework, Weidan outlined nine tactics that help UX researchers work more effectively. Let’s dive in.
1. Time Allocation: Invest in What Matters Most
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.
By allocating time wisely, researchers can avoid spending weeks on minor issues while ensuring critical decisions are well-informed.
2. Assistance of AI: Let Technology Handle the Heavy Lifting
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.
While AI can’t replace human judgment, it can free up researchers to focus on higher-value tasks like interpreting results and influencing strategy.
3. Collaboration: Make Research a Team Sport
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.
When research is shared and collaborative, it leads to faster adoption of insights and stronger decision-making.
4. Prioritization: Focus on the Right Questions
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?
By filtering out low-priority projects, researchers can avoid research for research’s sake and focus on what truly drives change.
5. Depth of Understanding: Go Beyond Surface-Level Insights
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.
Balancing speed with depth ensures research is not just fast, but meaningful.
6. Anticipation: Stay Ahead of Research Needs
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.
By anticipating research needs, UX teams can reduce last-minute requests and deliver insights exactly when they’re needed.
7. Justification of Methodology: Explain Why Your Approach Works
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.
A well-justified approach ensures research is respected and acted upon.
8. Individual Engagement: Tailor Research Communication to Your Audience
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.
By delivering insights in the right format, researchers increase the likelihood of stakeholder buy-in and action.
9. Business Actions: Ensure Research Leads to Real Change
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.
Research is most valuable when it translates into real business outcomes.
Final Thoughts: Research That Moves the Needle
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:
✔️ Prioritizing high-impact work ✔️ Leveraging AI and collaboration ✔️ Communicating research in a way that drives action
By adopting these strategies, UX teams can ensure their research is not just insightful, but transformational.
Ahead of her talk at UX New Zealand 2016, Lana Gibson from Lanalytics writes about a project she worked on with Te Papa.Te Papa (a museum in Wellington, New Zealand) created audience personas based on user research, and I used these as a basis to create audience segments in Google Analytics to give us further insight into different groups. By regularly engaging with our audience using both qualitative and quantitative user insight methods, we’re starting to build up a three-dimensional picture of their needs and how Te Papa can serve them.
Personas based on user research
At Te Papa the digital team created six audience personas to inform their site redesign, based on user research:
enthusiast
tourist
social
educator
volunteer
Wellingtonian
These formed a good basis for understanding why people are using the site. For example the educator persona wants fodder for lesson plans for her class — trustworthy, subject-based resources that will excite her students. The tourist persona wants practical information — what’s on, how to plan a visit. And they want to get this information quickly and get on with their visit.We’ll follow the tourist persona through a couple more rounds of user research, to give an example of what you can find out by segmenting your audience.
Interpreting tourist needs with data
Te Papa holds information for the Tourist audience in the Visit and What’s on sections of the site. I created a segment in Google Analytics which filters the reports to show how people who visit pages within these two sections interact with the whole site. For example the keywords they search for in Google before arriving on Te Papa, what they search for when on the site, and how many of them email us.Deeper digging revealed that the Tourist audience makes up about half of our overall audience. Because the content is useful to everyone wanting to visit the museum, and not just tourists, we broadened the scope of this persona and called the segment ‘Museum visitor’.
Why segment by site category — what if the audience goes beyond these pages?
Google Analytics segments allow you to see all the pages that a particular audience visits, not just the ones you’ve filtered. For example over 2,000 people who visited a page within the Visit and What’s on sections also visited the Kids and families section in July 2016. So, the audience segment allows us to expand our concept of our audiences.You can segment by a lot of different behaviors. For example you could segment visitors by keyword, isolating people who come to the site from Google after searching for ‘parking’ and ‘opening hours’ and seeing what they do afterwards. But segmenting by site category tests the information architecture of your site, which can be very useful if you’ve got it wrong!
Visit persona wants opening hours information
What did we learn from these personas? One example is that the most searched term on the site for the Visit persona was ‘opening hours’. To help fix this, the team put the opening hours on every page of the redesigned site:
This resulted in a 90% drop in searches that include ‘hours’ (May 2016 compared with May 2015):
Developing personas with Matariki
After the re-design the team ran a project to increase the reach and engagement of the Te Papa Matariki audience. You can read more about this in "Using data to help people celebrate Matariki". Te Papa holds Matariki events in the museum, such as the Kaumātua kapa haka, and this event in particular enhanced and challenged our ideas about this audience.
The Kaumātua kapa haka is the biggest Matariki event held at Te Papa, and this year we had 4,000 unique page views to the two Kaumātua kapa haka event pages. Traffic spiked over the event weekend, particularly from Facebook and mobile devices. We assumed the traffic was from people who were planning to come to the event, as they sit in the What’s on section. But further analysis indicates that people were visiting for the live streaming of the event — we included embedded Youtube videos on these pages.The popularity of the videos suggests that we’re taking events held within the museum walls out to people on the move, or in the comfort of their own homes. Based on this insight we’re looking into live streaming more events.
We’ve taken Te Papa personas through three iterations, based on user research, analytics, then a practical application of these to the Matariki festival. Each user research method has limitations, but by regularly using qualitative and quantitative methods we’re engaging with a three dimensional view of our audience that’s constantly evolving. Each user research piece builds that view, and allows us to plan projects and site changes with greater clarity about what our users need. It means we can plan projects that will have real and measurable impact, and allow people to engage with Te Papa in useful and meaningful ways.
Want to hear more? Come to UX New Zealand!
If you'd like to hear more about how Lana and Ruth redesigned the Te Papa website, plus a bunch of other cool UX-related talks, head along to UX New Zealand 2016 hosted by Optimal Workshop. The conference runs from 12-14 October, 2016, including a day of fantastic workshops, and you can get your tickets here. Got some questions you'd like to ask Lana before the conference? You can Tweet her on @lanalytics00!
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