April 2, 2024
1 min read

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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Event Recap: Measuring the Value of UX Research at UXDX

Last week Optimal Workshop was delighted to sponsor UXDX USA 2024 in New York. The User Experience event brings together Product, Design, UX, CX, and Engineering professionals and our team had an amazing time meeting with customers, industry experts, and colleagues throughout the conference. This year, we also had the privilege of sharing some of our industry expertise by running an interactive forum on “Measuring the Value of UX Research” - a topic very close to our hearts.

Our forum, hosted by Optimal Workshop CEO Alex Burke and Product Lead Ella Fielding, was focused on exploring the value of User Experience Research (UXR) from both an industry-wide perspective and within the diverse ecosystem of individual companies and teams conducting this type of research today.

The session brought together a global mix of UX professionals for a rich discussion on measuring and demonstrating the effectiveness of and the challenges facing organizations who are trying to tie UXR to tangible business value today.

The main topics for the discuss were: 

  • Metrics that Matter: How do you measure UXR's impact on sales, customer satisfaction, and design influence?
  • Challenges & Strategies: What are the roadblocks to measuring UXR impact, and how can we overcome them?
  • Beyond ROI:  UXR's value beyond just financial metrics

Some of the key takeaways from our discussions during the session were: 

  1. The current state of UX maturity and value
    • Many UX teams don’t measure the impact of UXR on core business metrics and there were more attendees who are not measuring the impact of their work than those that are measuring it. 
    • Alex & Ella discussed with the attendees the current state of UX research maturity and the ability to prove value across different organizations represented in the room. Most organizations were still early in their UX research maturity with only 5% considering themselves advanced in having research culturally embedded.
  1. Defining and proving the value of UX research
    • The industry doesn’t have clear alignment or understanding of what good measurement looks like. Many teams don’t know how to accurately measure UXR impact or don’t have the tools or platforms to measure it, which serve as core roadblocks for measuring UXRs’ impact. 
    • Alex and Ella discussed challenges in defining and proving the value of UX research, with common values being getting closer to customers, innovating faster, de-risking product decisions, and saving time and money. However, the value of research is hard to quantify compared to other product metrics like lines of code or features shipped.
  1. Measuring and advocating for UX research
    • When teams are measuring UXR today there is a strong bias for customer feedback, but little ability or understanding about how to measure impact on business metrics like revenue. 
    • The most commonly used metrics for measuring UXR are quantitative and qualitative feedback from customers as opposed to internal metrics like stakeholder involvement or tieing UXR to business performance metrics (including financial performance). 
    • Attendees felt that in organizations where research is more embedded, researchers spend significant time advocating for research and proving its value to stakeholders rather than just conducting studies. This included tactics like research repositories and pointing to past study impacts as well as ongoing battles to shape decision making processes. 
    • One of our attendees highlighted that engaging stakeholders in the process of defining key research metrics prior to running research was a key for them in proving value internally. 
  1. Relating user research to financial impact
    • Alex and Ella asked the audience if anyone had examples of demonstrating financial impact of research to justify investment in the team and we got some excellent examples from the audience proving that there are tangible ways to tie research outcomes to core business metrics including:
    • Calculating time savings for employees from internal tools as a financial impact metric. 
    • Measuring a reduction in calls to service desks as a way to quantify financial savings from research.
  1. Most attendees recognise the value in embedding UXR more deeply in all levels of their organization - but feel like they’re not succeeding at this today. 
    • Most attendees feel that UXR is not fully embedded in their orgnaization or culture, but that if it was - they would be more successful in proving its overall value.
    • Stakeholder buy-in and engagement with UXR, particularly from senior leadership varied enormously across organizations, and wasn’t regularly measured as an indicator of UXR value 
    • In organizations where research was more successfully embedded, researchers had to spend significant time and effort building relationships with internal stakeholders before and after running studies. This took time and effort away from actual research, but ended up making the research more valuable to the business in the long run. 

With the large range of UX maturity and the democratization of research across teams, we know there’s a lot of opportunity for our customers to improve their ability to tie their user research to tangible business outcomes and embed UX more deeply in all levels of their organizations. To help fill this gap, Optimal Workshop is currently running a large research project on Measuring the Value of UX which will be released in a few weeks.

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Meera Pankhania: From funding to delivery - Ensuring alignment from start to finish

It’s a chicken and egg situation when it comes to securing funding for a large transformation program in government. On one hand, you need to submit a business case and, as part of that, you need to make early decisions about how you might approach and deliver the program of work. On the other hand, you need to know enough about the problem you are going to solve to ensure you have sufficient funding to understand the problem better, hire the right people, design the right service, and build it the right way. 

Now imagine securing hundreds of millions of dollars to design and build a service, but not feeling confident about what the user needs are. What if you had the opportunity to change this common predicament and influence your leadership team to carry out alignment activities, all while successfully delivering within the committed time frames?

Meera Pankhania, Design Director and Co-founder of Propel Design, recently spoke at UX New Zealand, the leading UX and IA conference in New Zealand hosted by Optimal Workshop, on traceability and her learnings from delivering a $300 million Government program.

In her talk, Meera helps us understand how to use service traceability techniques in our work and apply them to any environment - ensuring we design and build the best service possible, no matter the funding model.

Background on Meera Pankhania

As a design leader, Meera is all about working on complex, purpose-driven challenges. She helps organizations take a human-centric approach to service transformation and helps deliver impactful, pragmatic outcomes while building capability and leading teams through growth and change.

Meera co-founded Propel Design, a strategic research, design, and delivery consultancy in late 2020. She has 15 years of experience in service design, inclusive design, and product management across the private, non-profit, and public sectors in both the UK and Australia. 

Meera is particularly interested in policy and social design. After a stint in the Australian Public Service, Meera was appointed as a senior policy adviser to the NSW Minister for Customer Service, Hon. Victor Dominello MP. In this role, she played a part in NSW’s response to the COVID pandemic, flexing her design leadership skills in a new, challenging, and important context.

Contact Details:

Email address: meera@propeldesign.com.au

Find Meera on LinkedIn  

From funding to delivery: ensuring alignment from start to finish 🏁🎉👏

Meera’s talk explores a fascinating case study within the Department of Employment Services (Australia) where a substantial funding investment of around $300 million set the stage for a transformative journey. This funding supported the delivery of a revamped Employment Services Model, which had the goal of delivering better services to job seekers and employers, and a better system for providers within this system. The project had a focus on aligning teams prior to delivery, which resulted in a huge amount of groundwork for Meera.

Her journey involved engaging various stakeholders within the department, including executives, to understand the program as a whole and what exactly needed to be delivered. “Traceability” became the watchword for this project, which is laid out in three phases.

  • Phase 1: Aligning key deliverables
  • Phase 2: Ensuring delivery readiness
  • Phase 3: Building sustainable work practices

Phase 1: Aligning key deliverables 🧮

Research and discovery (pre-delivery)

Meera’s work initially meant conducting extensive research and engagement with executives, product managers, researchers, designers, and policymakers. Through this process, a common theme was identified – the urgent (and perhaps misguided) need to start delivering! Often, organizations focus on obtaining funding without adequately understanding the complexities involved in delivering the right services to the right users, leading to half-baked delivery.

After this initial research, some general themes started to emerge:

  1. Assumptions were made that still needed validation
  2. Teams weren’t entirely sure that they understood the user’s needs
  3. A lack of holistic understanding of how much research and design was needed

The conclusion of this phase was that “what” needed to be delivered wasn’t clearly defined. The same was true for “how” it would be delivered.

Traceability

Meera’s journey heavily revolved around the concept of "traceability” and sought to ensure that every step taken within the department was aligned with the ultimate goal of improving employment services. Traceability meant having a clear origin and development path for every decision and action taken. This is particularly important when spending taxpayer dollars!

So, over the course of eight weeks (which turned out to be much longer), the team went through a process of combing through documents in an effort to bring everything together to make sense of the program as a whole. This involved some planning, user journey mapping, and testing and refinement. 

Documenting Key Artifacts

Numerous artifacts and documents played a crucial role in shaping decisions. Meera and her team gathered and organized these artifacts, including policy requirements, legislation, business cases, product and program roadmaps, service maps, and blueprints. The team also included prior research insights and vision documents which helped to shape a holistic view of the required output.

After an effort of combing through the program documents and laying everything out, it became clear that there were a lot of gaps and a LOT to do.

Prioritising tasks

As a result of these gaps, a process of task prioritization was necessary. Tasks were categorized based on a series of factors and then mapped out based on things like user touch points, pain points, features, business policy, and technical capabilities.

This then enabled Meera and the team to create Product Summary Tiles. These tiles meant that each product team had its own summary ahead of a series of planning sessions. It gave them as much context (provided by the traceability exercise) as possible to help with planning. Essentially, these tiles provided teams with a comprehensive overview of their projects i.e. what their user needs, what certain policies require them to deliver, etc.  

Phase 2: Ensuring delivery readiness 🙌🏻

Meera wanted every team to feel confident that we weren’t doing too much or too little in order to design and build the right service, the right way.

Standard design and research check-ins were well adopted, which was a great start, but Meera and the team also built a Delivery Readiness Tool. It was used to assess a team's readiness to move forward with a project. This tool includes questions related to the development phase, user research, alignment with the business case, consideration of policy requirements, and more. Ultimately, it ensures that teams have considered all necessary factors before progressing further. 

Phase 3: Building sustainable work practices 🍃

As the program progressed, several sustainable work practices emerged which Government executives were keen to retain going forward.

Some of these included:

  • ResearchOps Practice: The team established a research operations practice, streamlining research efforts and ensuring that ongoing research was conducted efficiently and effectively.
  • Consistent Design Artifacts: Templates and consistent design artifacts were created, reducing friction and ensuring that teams going forward started from a common baseline.
  • Design Authority and Ways of Working: A design authority was established to elevate and share best practices across the program.
  • Centralized and Decentralized Team Models: The program showcased the effectiveness of a combination of centralized and decentralized team models. A central design team provided guidance and support, while service design leads within specific service lines ensured alignment and consistency.

Why it matters 🔥

Meera's journey serves as a valuable resource for those working on complex design programs, emphasizing the significance of aligning diverse stakeholders and maintaining traceability. Alignment and traceability are critical to ensuring that programs never lose sight of the problem they’re trying to solve, both from the user and organization’s perspective. They’re also critical to delivering on time and within budget!

Traceability key takeaways 🥡

  • Early Alignment Matters: While early alignment is ideal, it's never too late to embark on a traceability journey. It can uncover gaps, increase confidence in decision-making, and ensure that the right services are delivered.
  • Identify and audit: You never know what artifacts will shape your journey. Identify everything early, and don’t be afraid to get clarity on things you’re not sure about.
  • Conducting traceability is always worthwhile: Even if you don’t find many gaps in your program, you will at least gain a high level of confidence that your delivery is focused on the right things.

Delivery readiness key takeaways 🥡

  • Skills Mix is Vital: Assess and adapt team member roles to match their skills and experiences, ensuring they are positioned optimally.
  • Not Everyone Shares the Same Passion: Recognize that not everyone will share the same level of passion for design and research. Make the relevance of these practices clear to all team members.

Sustainability key takeaways 🥡

  • One Size Doesn't Fit All: Tailor methodologies, templates, and practices to the specific needs of your organization.
  • Collaboration is Key: Foster a sense of community and collective responsibility within teams, encouraging shared ownership of project outcomes.

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Bear Liu: How visual thinking can improve communications in design workplaces

When Bear Liu was teaching himself design, he struggled remembering concepts since English wasn’t his first language. To help, he started doodling. By drawing pictures that related to what he was learning, he found he could not only remember them better, he could understand and communicate more effectively too. Ever since, he’s used the power of drawings and pictures to relay information in ways people can use.

Bear gives examples of how visual communication can help design workplaces to relay information in a more memorable and usable way. It may only seem like a minor change, but the difference can be significant.

Bear’s background 🎤

Bear Liu is a Product Designer at Xero, an online accounting platform that’s used all over the world. He’s also a Design Mentor at Springboard and CareerFoundry, and an Apple Award-Winning podcast host at BearTalk.

His background is in science education. As a self-taught designer, Bear has helped a raft of large and small businesses with digital products over the last 16 years. His clients come from diverse backgrounds and industries across the globe. Bear's professional passions also carry over into his hobbies. Outside of work he enjoys reading, drawing, and producing videos & podcasts on tech and design.

Contact Details:

You can find Bear on LinkedIn, or listen to his podcast, BearTalk.

Unleash your visual superpower as a communication pro 🦸🏻

When it comes to addressing business challenges it is important to keep these three aspects in mind: 

  1. Understanding - break down complex problems and solutions so everyone can understand. 
  2. Memory - retaining information in your mind is difficult even with note taking.
  3. Communication- People relate to words differently, and the meaning of something can easily get lost in translation. This issue is more prevalent with remote work.

Bear Liu strongly believes that visual communication helps people understand, remember and communicate information more effectively. Why?

  • It helps to focus. Pictures remove distractions and draw attention to where it’s desired.
  • It’s a token. A picture is universal - a house or a smiley face means the same thing to people that speak different languages. 
  • Most people are visual thinkers. Studies have found humans are hard-wired to process visual information faster. We are better at storing information in images, rather than numbers and letters.

But what if I can’t draw? This is a common issue Bear finds when talking to people about this. It’s not about the quality of the drawing itself, it’s about what it means. By delivering a message through a picture, it becomes understandable. Many of Bear’s drawings only ever remain in draft form. Even simple doodles can have meanings that make concepts clear.

In his design work at Xero, Bear has used drawing and sketches to great effect in a range of instances:

  • The accessibility tree was a complex, abstract system, but by drawing it (on a literal tree), and adding a few notes alongside it, the terminology became much more understandable.
  • Sketching how customers work made it easier to describe how Xero could help them. It was much more memorable than writing it out in paragraphs.
  • Wrapping the year in product design. A written summary of a year’s work is long-winded. Instead, Bear drew a tree and pinned key words, quotes and achievements to communicate the highlights.
  • UX terminology explanations can be difficult for those outside the industry to comprehend. Bear challenged himself to share 1 minute videos that accompanied simple drawings to help colleagues understand them, and had rave reviews.
  • Sketching notes is a great alternative to writing notes at conferences or meetings. Presenters can draw to help audiences follow along, and people in the audience themselves can also sketch their own notes.

Why it matters  🔥

Bear has adapted visual thinking to his own product design process and has seen a noticeable improvement in communication as a result.

People are busy - their brains are packed with all sorts of information, and they’re easily distracted by other things they have on their minds. By delivering information in a way that helps them to focus on it, remember and understand it, designers can achieve their ultimate goals.

As Bear also notes, drawing is fun. It’s much more rewarding than using words, as well as much more effective.

Bear used the example of his talk at UX New Zealand 2023 as a great place to use a drawing. Rather than follow along with his message by scribbling notes the whole way through, those in the audience could capture the biggest lessons easily in one simple drawing.

  • First, Bear drew one stick figure to represent himself as a speaker. He drew three speech bubbles, where audience members could write the most notable points he said.
  • Then he drew another stick figure, which represented the audience member listening to him. They had three thought bubbles, which people could populate with their biggest takeaways from the speech.

That one simple drawing is a template that can be used in any speech or meeting to remember the key points.

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