April 2, 2024
6 min

Clara Kliman-Silver: AI & design: imagining the future of UX

In the last few years, the influence of AI has steadily been expanding into various aspects of design. In early 2023, that expansion exploded. AI tools and features are now everywhere, and there are two ways designers commonly react to it:

  • With enthusiasm for how they can use it to make their jobs easier
  • With skepticism over how reliable it is, or even fear that it could replace their jobs

Google UX researcher Clara Kliman-Silver is at the forefront of researching and understanding the potential impact of AI on design into the future. This is a hot topic that’s on the radar of many designers as they grapple with what the new normal is, and how it will change things in the coming years.

Clara’s background 

Clara Kliman-Silver spends her time studying design teams and systems, UX tools and designer-developer collaboration. She’s a specialist in participatory design and uses generative methods to investigate workflows, understand designer-developer experiences, and imagine ways to create UIs. In this work, Clara looks at how technology can be leveraged to help people make things, and do it more efficiently than they currently are.

In today’s context, that puts generative AI and machine learning right in her line of sight. The way this technology has boomed in recent times has many people scrambling to catch up - to identify the biggest opportunities and to understand the risks that come with it. Clara is a leader in assessing the implications of AI. She analyzes both the technology itself and the way people feel about it to forecast what it will mean into the future.

Contact Details:

You can find Clara in LinkedIn or on Twitter @cklimansilver

What role should artificial intelligence play in UX design process? 🤔

Clara’s expertise in understanding the role of AI in design comes from significant research and analysis of how the technology is being used currently and how industry experts feel about it. AI is everywhere in today’s world, from home devices to tech platforms and specific tools for various industries. In many cases, AI automation is used for productivity, where it can speed up processes with subtle, easy to use applications.

As mentioned above, the transformational capabilities of AI are met with equal parts of enthusiasm and skepticism. The way people use AI, and how they feel about it is important, because users need to be comfortable implementing the technology in order for it to make a difference. The question of what value AI brings to the design process is ongoing. On one hand, AI can help increase efficiency for systems and processes. On the other hand, it can exacerbate problems if the user's intentions are misunderstood.

Access for all 🦾

There’s no doubt that AI tools enable novices to perform tasks that, in years gone by, required a high level of expertise. For example, film editing was previously a manual task, where people would literally cut rolls of film and splice them together on a reel. It was something only a trained editor could do. Now, anyone with a smartphone has access to iMovie or a similar app, and they can edit film in seconds.

For film experts, digital technology allows them to speed up tedious tasks and focus on more sophisticated aspects of their work. Clara hypothesizes that AI is particularly valuable when it automates mundane tasks. AI enables more individuals to leverage digital technologies without requiring specialist training. Thus, AI has shifted the landscape of what it means to be an “expert” in a field. Expertise is about more than being able to simply do something - it includes having the knowledge and experience to do it for an informed reason. 

Research and testing 🔬

Clara performs a lot of concept testing, which involves recognizing the perceived value of an approach or method. Concept testing helps in scenarios where a solution may not address a problem or where the real problem is difficult to identify. In a recent survey, Clara describes two predominant benefits designers experienced from AI:

  1. Efficiency. Not only does AI expedite the problem solving process, it can also help efficiently identify problems. 
  2. Innovation. Generative AI can innovate on its own, developing ideas that designers themselves may not have thought of.

The design partnership 🤝🏽

Overall, Clara says UX designers tend to see AI as a creative partner. However, most users don’t yet trust AI enough to give it complete agency over the work it’s used for. The level of trust designers have exists on a continuum, where it depends on the nature of the work and the context of what they’re aiming to accomplish. Other factors such as where the tech comes from, who curated it and who’s training the model also influences trust. For now, AI is largely seen as a valued tool, and there is cautious optimism and tentative acceptance for its application. 

Why it matters 💡

AI presents as potentially one of the biggest game-changers to how people work in our generation. Although AI has widespread applications across sectors and systems, there are still many questions about it. In the design world, systems like DALL-E allow people to create AI-generated imagery, and auto layout in various tools allows designers to iterate more quickly and efficiently.

Like many other industries, designers are wondering where AI might go in the future and what it might look like. The answer to these questions has very real implications for the future of design jobs and whether they will exist. In practice, Clara describes the current mood towards AI as existing on a continuum between adherence and innovation:

  • Adherence is about how AI helps designers follow best practice
  • Innovation is at the other end of the spectrum, and involves using AI to figure out what’s possible

The current environment is extremely subjective, and there’s no agreed best practice. This makes it difficult to recommend a certain approach to adopting AI and creating permanent systems around it. Both the technology and the sentiment around it will evolve through time, and it’s something designers, like all people, will need to maintain good awareness of.

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1 min read

What’s the difference between UI and UX?

UI and UX are two terms that are often used interchangeably and confused for one another, but what do they actually mean? And is there a crossover between them?

These two terms have only grown in use in recent years, thanks largely to the exploding technology sector. This is great news. For organizations, effectively harnessing UX and UI enables them to build products and services that people will actually want to use – and continue using. For users, they’ll have access to products designed for them. 

What is UX? 🤳🎯

User experience (UX as it’s commonly called) refers to the experience that a person has with a product or service. 

We can determine whether a user experience is good or bad based on how easy (or difficult) it is for users to interact with the various elements of a product or service. Is the sign-up flow easy to use? Does the CTA button on the homepage encourage users to click? UX design exists to answer questions like these – and here’s how.

At the core of UX design is user research, which you can use to understand customer pain points and actually build products designed for the people using them. Typically, user research involves the use of a number of different research methods designed to answer specific questions. Card sorting, for example, can show you how people think the information on your website should be arranged.

Designer and information architect Peter Morville came up with the user experience honeycomb, which demonstrates the various components of UX design.

The UX honeycomb. Source.

Don Norman of Nielsen Norman Group defines UX as “[encompassing] all aspects of the end-users interaction with the company, its services, and its products”.

If this seems broad, that’s because it is. UX actually extends beyond just the digital products of an organization and can be used for areas like retail, customer service and more. In fact, there’s actually a growing movement to replace UX with customer experience (CX), as a way of encompassing all of these disparate elements.

What is UI? 🪄📲

User interface (UI), in the most stripped-back definition, is the interface by which a user and a computer system communicate with one another. This includes the touchscreen on your smartphone, the screen on your laptop, your mouse and keyboard and countless other mechanisms.

With this in mind, user interface design is focused on the elements that users will see on these interfaces, such as buttons, text and images. UI design is all about layout, look and feel. The objective of UI design is to visually guide users through an interface so they can complete their task. In a nutshell, you don’t want a user to think too hard about what they’re doing.

Shown here: The user interface of the Tesla Model S. Source.

UI has its origins in the 1980s, when Xerox developed the very first graphical user interface (GUI). Instead of needing to interact with a computer through a programming language, people could now use icons, menus and buttons. The rest, as they say, is history. Apple came along with the Macintosh computer in 1984 (bringing with it the first point and click mouse), and now we’re all carrying smartphones with touch screens that even a baby can operate.

Like UX, UI has grown significantly – going far beyond what you’ll see on a computer screen. Those involved in the field of UI design today will work as much on the interfaces of computer programs and apps as they will on the user interfaces of cars, wearable devices and technologies in the home. If current trends continue, UI design is likely to become an even bigger field in the years ahead.

What’s the difference between UX and UI? 👀

UX and UI are both essential components of a product or service. You can’t have one without the other, and, as we’ve explored, neglecting one could have serious consequences for your product’s success.

The difference between UX and UI is that UX is focused on the experience of using something and UI is focused on the look and feel of the interface. 

“User Experience (UX) and User Interface (UI) are some of the most confused and misused terms in our field. A UI without UX is like a painter slapping paint onto a canvas without thought; while UX without UI is like the frame of a sculpture with no paper mache on it. A great product experience starts with UX followed by UI. Both are essential for the product’s success”. - Rahul Varshney, co-creator of Foster.fm

The difference between UX and UI is that UX is focused on the experience of using something and UI is focused on the look and feel of the interface. 

Or, if you’d prefer a statement from venerable Nielsen Norman Group: “It’s important to distinguish the total user experience from the UI, even though the UI is obviously an extremely important part of the design. As an example, consider a website with movie reviews. Even if the UI for finding a film is perfect, the UX will be poor for a user who wants information about a small independent release if the underlying database only contains movies from the major studios”.

With this in mind, let’s now take a look at the people behind UX and UI. What do the roles look like in these fields? And, more importantly, what do they involve?

UX and UI jobs guide 📱🧑🏻💻

  • Visual designer: This role works with other design roles in the organization (brand, marketing, etc) to ensure designs match brand guidelines. Visual designers also work with UX designers to verify that designs meet accessibility and usability requirements.
  • UX strategist: At the core, a UX strategist should act as a champion of good UX. That is to say, work to ensure the principles of usability and human-centered design are well understood and utilized. They should also assume some of the responsibility of product-market fit, and work with product managers and the ‘business’ side of the organization to mesh business requirements with user requirements.
  • UX designer: The most common UX profession, UX designers should have a strong understanding of the principles of UX design as well as some research ability. Essentially a jack of all trades, the UX designer will float between all stages of the UX lifecycle, helping out with usability tests, putting together prototypes and working with other areas of the organization.
  • Service designer: The service designer looks at the entire end-to-end process and works with other designers, pulling them when required to liaise on visual designs and UI work. In a smaller organization, the responsibilities of this role will typically be absorbed by other roles, but eventually, there comes a time for the service designer. 

Wrap up 🎬

UX and UI as terms are only going to continue to grow, especially as technology and technology companies continue to proliferate across the globe. If you want to make sure that the user experience and user interfaces of your product or service are fit for the people using them, there’s no better place to start than with user research using powerful tools.

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1 min read

Optimal vs. UserTesting: A Modern, Streamlined Platform or a Complex Enterprise Suite

The user research landscape has evolved significantly in recent years, but not all platforms have adapted at the same pace. UserTesting for example, despite being one of the largest players in the market, still operates on legacy infrastructure with outdated pricing models that no longer meet the evolving needs of mature UX, design and product teams. More and more we see enterprises choosing platforms like Optimal, because we represent the next generation of user research and insight platforms: ones that are purpose-built for modern teams that are prioritizing agility, insight quality, and value.

What are the biggest differences between Optimal and UserTesting?

Cost

Optimal has Transparent Pricing: Optimal offers flat-rate pricing without per-seat fees or session units, enabling teams to scale research sustainably. Our transparent pricing eliminates budget surprises and enables predictable research ops planning.

UserTesting is Expensive: In contrast, UserTesting has very high per user fees annually plus additional session-based fees, creating unpredictable costs that escalate the more research your team does. This means that teams often face budget surprises when conducting longer studies or more frequent research.

Return on Investment

The Best Value in the Market: Optimal's straightforward pricing and comprehensive feature set deliver measurable ROI. We offer 90% of the features that UserTesting provides at 10% of the price.

Justifying the Cost of UserTesting: UserTesting's high costs and complex pricing structure make it hard to prove the ROI, particularly for teams conducting frequent research or extended studies that trigger additional session fees.

Technology Evolution

Optimal is Purpose-Built for Modern Research: Optimal has invested heavily over the last few years in features for contemporary research needs, including AI-powered analysis and automation capabilities. Our new Interviews tool exemplifies this innovation, transforming hours of manual video analysis into automated, AI-powered insights that surface key themes, generate highlight reels, and produce timestamped transcripts in a fraction of the time.

UserTesting is Struggling to Modernize: UserTesting's platform shows signs of aging infrastructure, with slower performance and difficulty integrating modern research methodologies. Their technology advancement has lagged behind industry innovation.

Platform Integration

Built by Researchers for Researchers: Optimal has built from the ground up a single, cohesive platform without the complexity of merged acquisitions, ensuring consistent user experience and seamless workflow integration.

UserZoom Integration Challenges: UserTesting's acquisition of UserZoom has created platform challenges that continue to impact user experience. UserTesting customers report confusion navigating between legacy systems and inconsistent feature availability and quality.

Participant Panel Quality

Flexibility = Quality: Optimal prioritizes flexibility for our users, allowing our customers to bring their own participants for free or use our high-quality panels, with over 100+ million verified participants across 150+ countries who meet strict quality standards.

Poor Quality, In-House Panel: UserTesting's massive scale has led to participant quality issues, with researchers reporting difficulty finding high-quality participants for specialized research needs and inconsistent participant engagement.

Customer Support Experience

Agile, Personal Support: At Optimal we pride ourselves on our fast, human support with dedicated account management and direct access to product teams, ensuring fast and personalized support.

Impersonal, Enterprise Support: In contrast, users report that UserTesting's large organizational structure creates slower support cycles, outsourced customer service, and reduced responsiveness to individual customer needs.

The Future of User Research Platforms

The future of user research platforms is here, and smart teams are re-evaluating their platform needs to reflect that future state. What was once a fragmented landscape of basic testing tools and legacy systems has evolved into one where comprehensive user insight platforms are now the preferred solution. Today's UX, product and design teams need platforms that have evolved to include:

  • Advanced Analytics: AI-powered analysis that transforms data into actionable insights
  • Flexible Recruitment: Options for both BYO, panel and custom participant recruitment
  • Transparent Pricing: Predictable costs that scale with your needs
  • Responsive Development: Platforms that evolve based on user feedback and industry trends

Platforms Need to Evolve for Modern Research Needs

When selecting a vendor, teams need to choose a platform with the functionality that their teams need now but also one that will also grow with the needs of your team in the future. Scalable, adaptable platforms enable research teams to:

  • Scale Efficiently: Grow research activities without exponential cost increaeses
  • Embrace Innovation: Integrate new research methodologies and analysis techniques as well as emerging tools like AI 
  • Maintain Standards: Ensure consistent participant, data and tool quality as the platform evolves
  • Stay Responsive: Adapt to changing business needs and market conditions

The key is choosing a platform that continues to evolve rather than one constrained by outdated infrastructure and complex, legacy pricing models.

Ready to see how leading brands including Lego, Netflix and Nike achieve better research outcomes? Experience how Optimal's platform delivers user insights that adapt to your team's growing needs.

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1 min read

The value of risk mitigation in UX research: how to quantify prevention

In the fast-paced world of product development, risk is an ever-present factor. From potential user dissatisfaction to costly redesigns, the stakes are high. User Experience Research (UXR) plays a crucial role in identifying and mitigating these risks, but quantifying its preventive value can be challenging. Let's explore how UXR contributes to risk mitigation and how we can measure its impact.

Understanding risk in product development

Product development is an exciting yet challenging journey that requires careful navigation of inherent risks. Teams invest significant time and resources into creating solutions they hope will resonate with users, but this process is far from a guaranteed success. When embarking on a new product venture, teams are essentially making an educated guess about what users want and need. This inherent uncertainty brings several considerations, including substantial time investments, allocation of financial and human resources, and the need to adapt to constantly evolving user preferences and competitive landscapes.

The challenge lies in aligning all these elements to create a successful product. Getting it wrong can have significant consequences that extend beyond mere disappointment. Wasted development efforts can result in resources being spent on features or products that don't meet market needs. There's also the potential for negative impact on brand perception if a product misses the mark, potentially affecting how customers view the company as a whole. Furthermore, missed opportunities in the fast-paced world of product development can allow competitors to gain an advantage, affecting a company's market position.

However, there's a powerful tool that can help mitigate these risks: user research. As one industry leader noted in our research, "In periods of change, those who maintain a deep connection with their customers' evolving needs are best positioned to adapt and thrive." This insight highlights a crucial strategy for navigating the uncertain waters of product development.

By prioritizing user research, teams can gain valuable insights that guide their decision-making process. This approach allows them to identify genuine user needs and pain points, potentially uncovering issues that might have been overlooked. It also provides an opportunity to spot potential problems early in the development process, when changes are less costly and easier to implement. Moreover, deep user understanding can uncover opportunities for innovation and differentiation that might not be apparent without this research.

While user research doesn't eliminate all risks associated with product development, it provides a compass that can guide teams through the process with greater confidence. In the dynamic world of product creation, the biggest risk often comes from operating without these user insights. By integrating user research into the development process, teams can navigate uncertainties more effectively and increase their odds of creating products that truly resonate with their target audience.

Successful product development is ultimately about finding the right balance between innovation, user needs, and calculated risk-taking. It's a complex dance of creativity, market understanding, and strategic decision-making. By maintaining a strong connection to user needs and preferences throughout the development process, teams can mitigate risks and increase their chances of success. This user-centric approach not only helps in creating products that meet market demands but also positions companies to adapt and thrive in periods of change and uncertainty.

UXR's role in identifying and mitigating risks

User experience research plays a crucial role in identifying and mitigating risks throughout the product development process. Acting as an early warning system, UX research helps teams pinpoint potential issues before they evolve into costly problems. This proactive approach allows organizations to make informed decisions and adjustments early in the development cycle, potentially saving significant time and resources.

By engaging with users throughout the development process, researchers gain invaluable insights that can shape the direction of a product. These interactions enable teams to validate product concepts and designs, ensuring that the final output aligns with user expectations and needs. Through various research methodologies, UX researchers can identify usability issues and pain points that might otherwise go unnoticed until after launch. This early detection allows for timely refinements, resulting in a more polished and user-friendly final product.

Our survey findings underscore the value of integrating UX research into the product development process. Organizations that have fully embedded UXR into their workflows demonstrate a superior ability to navigate uncertainties and make user-centered decisions. This integration allows for a more agile and responsive approach to product development, where user feedback and insights directly inform strategic choices.

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Methodologies for quantifying prevented issues

In the space of user experience research, one of the most significant yet often overlooked benefits is its ability to prevent issues before they arise. This preemptive approach can save organizations substantial time, resources, and potential reputational damage. However, quantifying the value of something that didn't happen presents a unique challenge. How do you measure the impact of problems avoided? This question has led to the development of various methodologies aimed at quantifying the value of UX research in issue prevention.

  1. Issue tracking: Keep a detailed log of potential issues identified through research. Categorize them by severity and potential impact.

  1. Cost estimation: Work with product and engineering teams to estimate the cost of addressing issues at different stages of development. Compare this to the cost of conducting research.

  1. A/B Testing: Use controlled experiments to compare the performance of research-informed designs against alternatives.

  1. Predictive modeling: Develop models that estimate the potential impact of issues on key metrics like user retention or conversion rates.

  1. Historical comparison: Analyze past projects where research was not conducted and compare their outcomes to research-informed projects.

One effective approach is to use a research ROI calculator that estimates potential cost savings and revenue increases associated with research-driven improvements. This provides a clear financial justification for UXR investments.

Communicating preventive value to stakeholders

To effectively communicate the value of risk mitigation through UXR, consider these strategies:

  1. Speak the language of business: Frame research findings in terms of business outcomes, such as potential cost savings, revenue impact, or risk reduction.

  1. Use visualizations: Create compelling visual representations of prevented issues and their potential impact.

  1. Share success stories: Highlight case studies where research prevented significant issues or led to successful outcomes.

  1. Involve stakeholders: Engage key decision-makers in the research process to build understanding and buy-in.

  1. Provide ongoing updates: Regularly communicate how research insights are influencing decisions and mitigating risks throughout the development process.

Remember, as one research manager in our study observed, "When I hear that a company is downsizing, I immediately wonder how it will affect their research capabilities."

This highlights the importance of consistently demonstrating the value of UXR in risk mitigation.

By quantifying and communicating the preventive value of UX research, we can shift the perception of UXR from a cost center to a critical investment in risk mitigation and product success. As the field continues to evolve, developing robust methodologies for measuring this preventive value will be key to securing resources and support for UXR initiatives.

Ultimately, the goal is to create a culture where user research is seen as an essential safeguard against costly mistakes and a driver of informed, user-centered decision-making. By doing so, organizations can navigate the uncertainties of product development with greater confidence and success.

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Maximize your risk mitigation efforts with Optimal

Ready to elevate your UX research and risk mitigation strategies? Optimal Workshop's comprehensive platform offers powerful tools to streamline your research process, from participant recruitment to data analysis. Our suite of user-friendly solutions enables you to conduct more efficient studies, uncover deeper insights, and effectively communicate the preventive value of your research to stakeholders. 

With Optimal, you can quantify your risk mitigation efforts more accurately and demonstrate the ROI of UXR with greater clarity. Don't let potential risks threaten your product's success. 

Try Optimal Workshop today and transform your approach to UX research and risk prevention. 

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