How to convince others of the importance of UX research
There’s not much a parent won’t do to ensure their child has the best chance of succeeding in life. Unsurprisingly, things are much the same in product development. Whether it’s a designer, manager, developer or copywriter, everyone wants to see the product reach its full potential.
Key to a product’s success (even though it’s still not widely practiced) is UX research. Without research focused on learning user pain points and behaviors, development basically happens in the dark. Feeding direct insights from customers and users into the development of a product means teams can flick the light on and make more informed design decisions.
While the benefits of user research are obvious to anyone working in the field, it can be a real challenge to convince others of just how important and useful it is. We thought we’d help.
Define user research
If you want to sell the importance of UX research within your organization, you’ve got to ensure stakeholders have a clear understanding of what user research is and what they stand to gain from backing it.
In general, there are a few key things worth focusing on when you’re trying to explain the benefits of research:
More informed design decisions: Companies make major design decisions far too often without considering users. User research provides the data needed to make informed decisions.
Less uncertainty and risk: Similarly, research reduces risk and uncertainty simply by giving companies more clarity around how a particular product or service is used.
Retention and conversion benefits: Research means you’ll be more aligned with the needs of your customers and prospective customers.
Use the language of the people you’re trying to convince. A capable UX research practice will almost always improve key business metrics, namely sales and retention.
The early stages
When embarking on a project, book in some time early in the process to answer questions, explain your research approach and what you hope to gain from it. Here are some of the key things to go over:
Your objectives: What are you trying to achieve? This is a good time to cover your research questions.
Your research methods: Which methods will you be using to carry out your research? Cover the advantages of these methods and the information you’re likely to get from using them.
Constraints: Do you see any major obstacles? Any issues with resources?
Provide examples: Nothing shows the value of doing research quite like a case study. If you can’t find an example of research within your own organization, see what you can find online.
Involve others in your research
When trying to convince someone of the validity of what you’re doing, it’s often best to just show them. There are a couple of effective ways you can do this – at a team or individual level and at an organizational level.
We’ll explain the best way to approach this below, but there’s another important reason to bring others into your research. UX research can’t exist in a vacuum – it thrives on integration and collaboration with other teams. Importantly, this also means working with other teams to define the problems they’re trying to solve and the scope of their projects. Once you’ve got an understanding of what they’re trying to achieve, you’ll be in a better position to help them through research.
Educate others on what research is
Education sessions (lunch-and-learns) are one of the best ways to get a particular team or group together and run through the what and why of user research. You can work with them to work out what they’d like to see from you, and how you can help each other.
Tailor what you’re saying to different teams, especially if you’re talking to people with vastly different skill sets. For example, developers and designers are likely to see entirely different value in research.
Collect user insights across the organization
Putting together a comprehensive internal repository focused specifically on user research is another excellent way to grow awareness. It can also help to quantify things that may otherwise fall by the wayside. For example, you can measure the magnitude of certain pain points or observe patterns in feature requests. Using a platform like Notion or Confluence (or even Google Drive if you don’t want a dedicated platform), log all of your study notes, insights and research information that you find useful.
Whenever someone wants to learn more about research within the organization, they’ll be able to find everything easily.
Bring stakeholders along to research sessions
Getting a stakeholder along to a research session (usability tests and user interviews are great starting points) will help to show them the value that face-to-face sessions with users can provide.
To really involve an observer in your UX research, assign them a specific role. Note taker, for example. With a short briefing on best-practices for note taking, they can get a feel for what’s like to do some of the work you do.
You may also want to consider bringing anyone who’s interested along to a research session, even if they’re just there to observe.
Share your findings – consistently
Research is about more than just testing a hypothesis, it’s important to actually take your research back to the people who can action the data.
By sharing your research findings with teams and stakeholders regularly, your organization will start to build up an understanding of the value that ongoing research can provide, meaning getting approval to pursue research in future becomes easier. This is a bit of a chicken and egg situation, but it’s a practice that all researchers need to get into – especially those embedded in large teams or organizations.
Anything else you think is worth mentioning? Let us know in the comments.
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.
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.
Product teams face an important decision when selecting the right user research platform: do they prioritize speed and simplicity, or invest in a more comprehensive platform that offers real research depth and insights? This choice becomes even more critical as user research scales and those insights directly influence major product decisions.
Maze has gained popularity in recent years among design and product teams for its focus on rapid prototype testing and design workflow integration. However, as teams scale their research programs and require more sophisticated insights, many discover that Maze's limitations outweigh its simplicity. Platform stability issues, restricted tools and functionality, and a lack of enterprise features creates friction that end up compromising insight speed, quality and overall business impact.
Why Choose Optimal instead of Maze?
Platform Depth
Test Design Flexibility
Optimal Offers Comprehensive Test Flexibility: Optimal has a Figma integration, image import capabilities, and fully customizable test flows designed for agile product teams.
Maze has Rigid Question Types: In contrast, Maze's focus on speed comes with design inflexibility, including rigid question structures and limited customization options that reduce overall test effectiveness.
Live Site Testing
Optimal Delivers Comprehensive Live Site Testing: Optimal's live site testing allows you to test your actual website or web app in real-time with real users, gathering behavioral data and usability insights post-launch without any code requirements. This enables continuous testing and iteration even after products are in users' hands.
Maze Offers Basic Live Website Testing: While Maze provides live website testing capabilities, its focus remains primarily on unmoderated studies with limited depth for ongoing site optimization.
Interview and Moderated Research Capabilities
Optimal Interviews Transforms Research Analysis: Optimal's new Interviews tool revolutionizes how teams extract insights from user research. Upload interview videos and let AI automatically surface key themes, generate smart highlight reels, create timestamped transcripts, and produce actionable insights in hours instead of weeks. Every insight comes with supporting video evidence, making it easy to back up recommendations with real user feedback and share compelling clips with stakeholders.
Maze Interview Studies Requires Enterprise Plan: Maze's Interview Studies feature for moderated research is only available on their highest-tier Organization plan, putting live moderated sessions out of reach for small and mid-sized teams. Teams on lower tiers must rely solely on unmoderated testing or use separate tools for interviews.
Prototype Testing Capabilities
Optimal has Advanced Prototype Testing: Optimal supports sophisticated prototype testing with full Figma integration, comprehensive interaction capture, and flexible testing methods that accommodate modern product design and development workflows.
Maze has Limited Prototype Support: Users report difficulties with Maze's prototype testing capabilities, particularly with complex interactions and advanced design systems that modern products require.
Analysis and Reporting Quality
Optimal has Rich, Actionable Insights: Optimal delivers AI-powered analysis with layered insights, export-ready reports, and sophisticated visualizations that transform data into actionable business intelligence.
Maze Only Offers Surface-Level Reporting: Maze provides basic metrics and surface-level analysis without the depth required for strategic decision-making or comprehensive user insight.
Enterprise Features
Dedicated Enterprise Support
Optimal Provides Dedicated Enterprise Support: Optimal offers fast, personalized support with dedicated account teams and comprehensive training resources built by user experience experts that ensure your team is set up for success.
Maze has a Reactive Support Model: Maze provides responsive support primarily for critical issues but lacks the proactive, dedicated support enterprise product teams require.
Enterprise Readiness
Optimal is an Enterprise-Built Platform: Optimal was designed for enterprise use with comprehensive security protocols, compliance certifications, and scalability features that support large research programs across multiple teams and business units. Optimal is currently trusted by some of the world's biggest brands including Netflix, Lego and Nike.
Maze is Built for Individuals: Maze was built primarily for individual designers and small teams, lacking the enterprise features, compliance capabilities, and scalability that large organizations need.
Enterprises Need Reliable, Scalable User Insights
While Maze's focus on speed appeals to design teams seeking rapid iteration, enterprise product teams need the stability and reliability that only mature platforms provide. Optimal delivers both speed and dependability, enabling teams to iterate quickly without compromising research quality or business impact. Platform reliability isn't just about uptime, it's about helping product teams make high quality strategic decisions and to build organizational confidence in user insights. Mature product, design and UX teams need to choose platforms that enhance rather than undermine their research credibility.
Don't let platform limitations compromise your research potential.
