Innovation is at the core of revenue growth - finding new ways to create and capture value. The reason most innovations fail is not because they don’t work (organizations are very good at building products and services with features and benefits), they fail because they don’t create value on dimensions that drive customer choice. If you don’t understand the causal drivers of customer choice, then you’re largely shooting in the dark and at risk of creating something that customers don’t choose above the alternative market solutions.

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Chris Green, Head of CX and Innovation at Purple Shirt, recently spoke at UX New Zealand, the leading UX and IA conference in New Zealand hosted by Optimal Workshop, about the Jobs to be Done (JTBD) methodology and uncovering the causal drivers of customer choice in innovation.

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In his talk, Chris talks us through JTBD methodology, how to use it, and how it will change the way you think about markets and competition.

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Background on Chris Green

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Chris has a long and deep background in strategy and innovation. Chris cut his strategy teeth in the UK before moving to New Zealand in 2000 where he led various strategy teams for organisations like Vodafone, Vector, and TelstraClear. He moved to Australia in 2011 where he started to develop his expertise in the emerging field of innovation. He sharpened his innovation knowledge and skills by studying under Professor Clayton Christensen (the godfather of modern innovation theory) at Harvard University and went on to lead one of Australia's leading innovation consultancies where he helped organizations run innovation projects and build innovation capability.

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Chris returned to New Zealand at the end of 2021 to lead the innovation practice of Purple Shirt, a UX design consultancy with offices in Auckland and Christchurch. In his spare time, you'll find Chris out on the water learning about foiling boats and boards.

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Contact Details:

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Email: chris@purpleshirt.co.nz

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LinkedIn: https://www.linkedin.com/in/chris-green-kiwi/

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Jobs To Be Done methodology and its role in driving customer choice

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In this talk, Chris is specifically speaking about UX research in the context of building new products and services, not optimizing existing ones. He answers a critical question - how can we improve our odds of success when we launch something new to market?

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Performing UX research for products and services that already exist is very different from totally new ones. Why? Generally, it’s because customers of existing products are good at recommending improvements for things that they already know and use. They are good at this because they have user experience to draw from. The famous Henry Ford quote illustrates this well; “If I’d asked our customers what they wanted, they would have told me faster horses.”

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Just because customers are giving researchers helpful and constructive feedback on a product or service, it doesn’t mean you should implement these improvements. In a user-focused discipline, this can sound counterintuitive, but when it comes to new products and services, UX researchers should be careful in relying on user feedback absolutely. 

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Chris argues that customer feedback can sometimes lead us in the wrong direction. Assuming that a customer will choose our product if we simply implement their feedback is problematic. Chris stresses the difference between implementing changes that drive improvement versus implementing changes that drive customer choice. They aren’t the same thing. Many businesses continually release new features, but rarely do these new features drive or improve consumer choice. Yes, a new feature may make the product better than before, but does it make it so much better that it makes customers choose your product over others? 

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Causal drivers of choice 🤔

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When researching new products the most critical thing to understand is this - what causes someone to choose one product over another? If you don’t know the answer, you’re guessing about your product design from the very beginning. 

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Traditionally, market research (typically driven by marketing departments) has been poor at finding causation. Market research tends to find correlations between customer attributes and customer behavior (e.g. people in a certain age bracket buy a certain product), but these correlations are quite shallow and do little to inform true drivers of choice. A lack of causal studies can be explained by the fact that they are difficult to conduct. They need to uncover deeper, root causes of human behavior, rather than high-level trends to be truly useful.

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So, how can find causal drivers of choice? And why does it matter?

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Why it matters 🔥

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The best method for uncovering the causal drivers of choice was invented by Professor Clayton Christensen. Chris describes him as the guru of modern innovation theory. He invented Disruption Theory and Jobs to be Done (JTBD) methodology. His fundamental insight was this – researchers shouldn’t be worried about the customer, instead, they should be interested in what they’re trying to achieve. 

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Christensen’s JTBD methodology is about understanding the various things that people need to complete in certain contexts. He argues that we, as consumers and customers, all look to “hire” products and services from businesses to get things done. We make a decision to buy, hire, or lease products or services into our lives in order to make progress on something we’re trying to achieve. 

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These jobs to be done can be split broadly into three categories (which aren’t mutually exclusive):

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• Functional: Tasks that I want to complete
• Emotional: How I want to feel
• Social: How I want to be seen

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Value creation opportunities arise when the currently available solutions (products/services in the market) are not getting the jobs done well. This “gap” essentially represents struggles and challenges that get in the way of progress. The gap is our opportunity to build something new that helps people get their jobs done better.

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Chris uses Dropbox as a good example of an innovative company filling the gap and addressing a need for people. People found themselves “hiring” different solutions or workarounds to access their files anywhere (e.g. by emailing themselves and using USBs). Dropbox created a solution that addressed this by allowing people to store their files online and access them anywhere. This solution got the job done better by being more convenient, secure, and reliable.

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The strategic relevance of “jobs” 🙌💼🎯

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Using the JTBD methodology helps to change how you see the competitive landscape, thereby providing an opportunity to see growth where none might have seemed possible. 

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Chris uses Snickers and MilkyWay chocolate bars as examples of similar products that on the surface seem to compete against each other. Both seem to sit in the same category, are bought in the same aisle, and have similar ingredients. However, looking at them through a “jobs” lens, they address two slightly different jobs. A Snickers is bought when you need fuel and is more a replacement for a sandwich, apple, or Red Bull (i.e. it is a product “hired” to prepare for the future/get an energy hit). A MilkyWay on the other hand is bought to make people feel better, eat emotionally, and is more of a replacement for ice cream or wine (i.e. a product “hired” to cope with the past).

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Chris’s talk helps us to think more strategically about our design journey. To develop truly new and innovative products and services, don’t just take your users' feedback at face value. Look beyond what they’re telling you and try to see the jobs that they’re really trying to accomplish. 

Designing in teams with different stakeholders can be incredibly complex. Each person looks at projects through their own lens, and can potentially introduce jargon and concepts that are confusing to others. Simplicity advocate Ella Stoner knows this scenario all too well. It’s what led her to create an easy three-step tool for recognizing problems and developing solutions. By getting everyone on the same page and creating an understanding of what the simplest solution is, designers can create products with customer needs in mind.

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Ella’s background

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Ella Stoner is a CX Designer at Spark in New Zealand. She is a creative thought leader and a talented designer who has facilitated over 50 Human Centered Design Workshops. Ella and her team have developed a cloud product that enables businesses to connect with Public Cloud Services such as Amazon, Google and Azure in a human-centric way. She brings a simplistic approach to her work that is reflected in her UX New Zealand talk. It’s about cutting out complex details to establish an agreed starting point that is easily understood by all team members.

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Contact Details:

You can find Ella on LinkedIn.

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Improving creative confidence 🤠

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Ella is confident that she is not the only designer who has felt overwhelmed with technical and industry specific jargon in product meetings. For example, on Ella’s first day as a designer with Spark, she attended a meeting about an HSNS (High Speed Network Services) tool. Ella attempted to use context clues to try and predict what HSNS could mean. However, as the meeting went on, the technical and industry-specific jargon built on each other and Ella struggled to follow what was being said. At one point Ella asked the team to clarify this mysterious term:

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“What’s an HSNS and why would the customer use it?” she asked. Much to her surprise, the room was completely silent. The team struggled to answer a basic question, about a term that appeared to be common knowledge during the meeting. There’s a saying, “Why do something simply when you can make it as complicated as possible?”. This happens all too often, where people and teams struggle to communicate with each other, and this results in projects and products that customers don’t understand and can’t use. Ella’s In A Nutshell tool is designed to cut through all that. It creates a base level starting point that’s understood by all, cuts out jargon, and puts the focus squarely on the customer. It:

• condenses down language and jargon to its simplest form
• translates everything into common language
• flips it back to the people who’ll be using it.

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Here’s how it works:

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First, you complete this phrase as it pertains to your work: “In a nutshell, (project/topic) is (describe what the project or topic is in a few words), that (state what the project/topic does) for (indicate key customer/users and why). In order for this method to work, each of the four categories you insert must be simple and understandable. All acronyms, complex language, and technical jargon must be avoided.  In a literal sense, anyone reading the statement should be able to understand what is being said “in a nutshell.” When you’ve done this, you’ll have a statement that can act as a guide for the goals your project aims to achieve.

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Why it matters 🤔

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Applying the “In A Nutshell” tool doesn’t take long. However, it's important to write this statement as a team. Ideally, it’s best to write the statement at the start of a project, but you can also write it in the middle if you need to create a reference point, or any time you feel technical jargon creeping in.

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Here’s what you’ll need to get started:

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• People with three or more role types (this accommodates varying perspectives to ensure it’s as relevant as possible)
• A way to capture text - i.e. whiteboard, Slack channel, Miro board
• An easy voting system - i.e., thumbs up in a chat

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Before you start, you may need to pitch the idea to someone in a technical role. If you’re feeling lost or confused, chances are someone else will be too. Breaking down the technical concepts into easy-to-understand and digestible language is of utmost importance:

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1. Explain the Formula to the team..
2. Individually brainstorm possible answers for each gap for three minutes.
3. Put every idea up on the board or channel and vote on the best one.

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Use the most popular answers as your final “In a Nutshell” statement.

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Side note: Keep all the options that come through the brainstorm. They can still be useful in the design process to help form a full picture of what you’re working on, what it should do, who it should be for etc.

Being able to design for different perspectives and preferences is a real skill, and it’s extremely difficult. It can become even harder when designing for neurodiverse audiences, where people are hard-wired in unique ways. However, being able to cater to neurodiverse preferences is extremely important.

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Designer Kalina Tyrkiel says between 15-20% of people around the world are neurodiverse, which is a significant proportion. Various conditions such as dyslexia, attention deficit disorders, and autism can have considerable impacts on how people interact with interfaces and platforms. By considering these implications, designers can dramatically improve the accessibility of their work and improve engagement for neurodiverse individuals. Even simple tweaks like using an actual number instead of writing it out (i.e., 1 instead of “one”) can make a huge difference. 

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Kalina explores universal tips and techniques that allow designers to cater for neurodiverse audiences.

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Kalina’s background 

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Kalina Tyrkiel is a content designer with a unique background that spans both technical UX skills and a human-centric approach to design. She primarily works as a designer for Polish healthtech company DocPlanner, connecting users with relevant health services. Her background as a trained psychologist significantly supports her work and provides a deeper understanding into how people think.  She is also a UX writing trainer and university lecturer, which further speaks to her expertise.

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Contact Details:

You can find Kalina on LinkedIn.

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Words that welcome: content design with neurodiversity in mind 📖

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Neurodiversity is often misunderstood by society at large. Neurodiverse conditions often exist on a spectrum, and solutions that work for one person don’t necessarily work for someone else. Similarly, neurodiversity often comes in batches. Kalina outlines how 60% of people with ADHD also have traits of autism. This further complicates their perspectives and needs.

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So this leaves us with a pressing question. How can designers cater for all people with such different needs? Kalina describes how designing for a neurodiverse audience is actually not much different from designing for a neurotypical audience. For example, on any given day, individuals experience varying levels of stress or relaxation which impacts their energy and attention levels. 

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What to keep in mind when designing for neurodiverse audiences 

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1. Provide clear instructions

• Use bullet points and lists for better scannability
• For different options, use if/then tables
• Reduce the probability of displaying an error message. For example, when requiring a new password, outline password requirements up front.

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2. Make the purpose clear

For example, ensure the title aligns with the content the user can expect. Misalignment can create significant confusion for neurodiverse audiences.

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3. Don’t justify text

Justifying text and varying the spacing between words makes it harder to read, particularly for dyslexic users.

4. Include different ways to access content

For example, some people may prefer voice search, others may prefer content that’s not in a video. Again, this is no different from neurotypical audiences.

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5. Keep it simple 

The simpler the interface and the simpler the copy, the better. Pay attention to consistency too - if a platform or site varies a lot, this can be confusing. 

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Why it matters 💥

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Considering neurodiverse audiences in the design process is critical in making platforms easy to use for all people. The needs of neurodiverse users can amplify problems or create critical issues out of something that’s a minor inconvenience for someone else. Again, a 15-20% audience is not insignificant, so it pays to be mindful of their needs. So how can you actually do it?

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Hire for diversity 🌍

Having diverse teams can bring a broad array of perspectives to the design process. Just remember that not all neurodiverse people think the same. Dr Stephen Shore said “when you know one person with autism, you know one person with autism”.  Think about diversity as creating preferences, rather than labels. Ask respectfully about someone’s preferences and don’t judge them (or others) based on their condition.

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Tools and techniques 🛠️

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• In videos, use closed captions, not just subtitles - they can be much more user-friendly. Keep them to 40 characters per line, and up to two lines of similar length. 

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Interestingly, closed captions and subtitles are also being more and more preferred by younger generations. 

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• Kalina recommends Hemingway as a tool to keep language simple and consistent.
  
• Neurodiversity.design is a website that enables designers to get insights about fonts, typography, interfaces and other general design elements with an eye to neurodiverse audiences.

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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:

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• 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

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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.

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Clara’s background 

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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.

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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.

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Contact Details:

You can find Clara in LinkedIn or on Twitter @cklimansilver

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

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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.

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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.

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Access for all 🦾

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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.

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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. 

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Research and testing 🔬

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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:

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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.

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The design partnership 🤝🏽

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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. 

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Why it matters 💡

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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.

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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:

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• 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

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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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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.

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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.

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Bear’s background 🎤

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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.

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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.

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Contact Details:

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

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Unleash your visual superpower as a communication pro 🦸🏻

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

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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.

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

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• 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.

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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.

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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.

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Why it matters  🔥

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

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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.

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

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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.

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• 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.
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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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When you have a small design team or none at all, how do you ensure that your content is consistent, has the right tone, and is captivating? It can be difficult, but it doesn’t have to be! Julia Steffen, Principal Content Designer at Varis, spoke at UX New Zealand, the leading UX and IA conference in New Zealand hosted by Optimal Workshop, about how startups can achieve impactful content and delight users. 

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In her talk, Julia shares her most useful tips, tricks, and rules of thumb to ensure meaningful content design. She also shares some helpful tools to achieve maximum efficiency.

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Julia Steffen bio 🎤

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Julia has worked in content for 10+ years at St.Jude, Wunderman Thompson, MetaLab, and Grubhub. She is based in the United States and is the Principal Content Designer at Varis.

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Contact Details:

Email address: julia.steffen@govaris.com

You can find Julia on LinkedIn

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Content design for startups - How to work lean, have maximum impact, and get all the high-fives ✋🏽✋🏻✋🏿

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Why should you care about content design? Julia argues that “content design is product success”. Because Julia specifically talks about content design in relation to startups, she focuses on how to achieve the best results possible with a small, lean team. To that end, Julia discusses four must-haves for content design:

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1. Voice
2. Tools for efficiency
3. Words in the experience
4. Ways to check, test, and perfect your words

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Voice 🎙️

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Why is your company’s voice important? Voice tells your users who you are, creates meaningful connections, and provides valuable signals that convey whether or not your company is deserving of trust. Choosing the voice for your startup begins with a competitor audit.  Documenting who you compete against, and how you might want to differentiate your startup is crucial to finding your corner of the market. For example, is your voice welcoming, gentle, and positive, or are you more formal and technical? 

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User research can also be really helpful when determining and monitoring your voice. Involve your research team and learn what does and doesn’t delight your audience when it comes to your messaging.

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It’s also important to map your voice to your startup’s values. Be sure to connect to your mission and your brand. Julia sums up product voice as:

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Product voice = your values + space to differentiate + what research tells you

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So, when you find your voice, where can you lean into it? There are several key areas or moments that provide opportunities to share your unique voice, such as:

• Notifications: Emails, SMS, and in-app messages are a great place to delight customers
• Success states: Celebrate with your users in your voice (and remove any anxiety that may be there)
• Empty states: They aren’t just a chance to educate, they’re a chance to add some interest or fun (or to mask a UX issue).
• Placeholder text: If a field is well labeled, you can use this section to bring joy and reduce a user’s anxiety.
• Onboarding: You never get a second chance to make a first impression. Make it count!

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Tools for efficiency ⚒️

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To remain lean and efficient as a startup, one of the best things you can do is create a style guide. This helps to keep your content and voice consistent. For example, what pronouns do you use in your interface, do you capitalize certain words, etc? There is actually a lot to consider here, so Julia points viewers to various resources that allow you to copy and paste, such as Quinn Keast’s Product Language Framework.

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A glossary or language bank is also important. Record branded words, terms that you never use, and terms that you’ve heard your users say organically. This helps to ensure that you’re using language that resonates with your audience and language that reduces cognitive load as much as possible.

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Pro tip: Use the Writer app with Figma. This integration helps to ensure that your style guide is actually used! It includes your style guide and glossary so that you’re being consistent as you work. You can also use the Hemingway app or Grammarly to look out for passive voice, hard-to-parse sentences, and overall readability.

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Words in the experience – writing for content design 📝

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The first thing Julia points out when approaching writing is the need to be user-focused. This might seem obvious to UX practitioners, but word selection can be nuanced, and subtle changes can be powerful. For example, instead of writing “[Your company] introduces a new feature”, think about how can you change the statement to be more about what the new feature means for the user, rather than your company. Here are a few rules of thumb to help refine your writing.

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• Clarity over cleverness. Unless you’re clear and the message is understood by your user, even the best jokes and wittiest phrases in the world will be wasted.
• Write like you’re having a conversation with your Grandmother. Be clear and don’t use too much jargon.
• Think like the best content designers. Writing is a process and there are several things to consider, such as the purpose of your copy, the context that it’s being read, and what emotion the reader might be feeling at that moment, etc. Julia offers the Microcopy Canvas as a useful tool for startups, which is a helpful writing template/worksheet created by Jane Ruffino.

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Ways to check, test, and perfect your words 👀

Julia suggests that design reviews are the perfect place to sense-check your words and content. Review your designs intentionally and through a content lens. Again, the Microcopy Canvas can be a useful tool when conducting this step, helping to ensure you have considered the right tone and achieved your purpose with your words.

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Following a design review process, it’s important to test for clarity and affinity. Conduct user tests frequently to ensure your words and content are clear, understood, and hitting the mark in the intended way.

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Finally, make sure your content goals are recorded in your dashboards. Be accountable to your own success measures, KPIs, and OKRs (Objectives and Key Results). Some metrics that help track success are:

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• Onboarding flows
• Notification metrics
• Feature adoption
• Conversion rates

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If you’re falling short on some metrics, review your content and try to figure out where words can be sharpened to be clearer, more friendly, or less technical, for example. Then, feed this information into your prioritization and planning. What changes are going to have the most impact on your product’s success? What changes are quick wins? 

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Why it matters 🤯

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Julia’s talk is important for UX and content designers, particularly those working in startup environments, as it highlights the critical role of content design in achieving product success. The content you share, the voice and tone you adopt, and the clarity of communication, all add to the user's overall experience with your product. Investing time into your content is critical and, as Julia explains, it doesn’t have to put too much stress on your team's workload. If time isn’t invested, however, you may find yourself with poor content, delivering poor experiences, resulting in high customer attrition. 

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Efficiency, therefore, should be a focus for startups wanting to achieve great content design without being weighed down. Julia offers pragmatic advice on maintaining consistency through tools like style guides and language banks and by leveraging apps like Hemingway and Grammarly. Tools like these are incredibly helpful when streamlining processes and ensuring a cohesive and polished user interface. 

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At the end of the day, Julia stresses the impact that content design has on user experiences and encourages startups to pay close attention to content in ways that are achievable for small teams.

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