At Optimal Workshop, we're dedicated to building the best user research platform to empower you with the tools to better understand your customers and create intuitive digital experiences. We're thrilled to announce some game-changing updates and new products that are on the horizon to help elevate the way you gather insights and keep customers at the heart of everything you do.
What’s new…
Integration with Figma 🚀
Last month, we joined forces with design powerhouse Figma to launch our integration. You can import images from Figma into Chalkmark (our click-testing tool) in just a few clicks, streamlining your workflows and getting insights to make decisions based on data not hunches and opinions.
What’s coming next…
Session Replays 🧑💻
With session replay you can focus on other tasks while Optimal Workshop automatically captures card sort sessions for you to watch in your own time. Gain valuable insights into how participants engage and interpret a card sort without the hassle of running moderated sessions. The first iteration of session replays captures the study interactions, and will not include audio or face recording, but this is something we are exploring for future iterations. Session replays will be available in tree testing and click-testing later in 2024.
Reframer Transcripts 🔍
Say goodbye to juggling note-taking and hello to more efficient ways of working with Transcripts! We're continuing to add more capability to Reframer, our qualitative research tool, to now include the importing of interview transcripts. Save time, reduce human errors and oversights by importing transcripts, tagging and analyzing observations all within Reframer. We’re committed to build on transcripts with video and audio transcription capability in the future, we’ll keep you in the loop and when to expect those releases.
Prototype testing 🧪
The team is fizzing to be working on a new Prototype testing product designed to expand your research methods and help test prototypes easily from the Optimal Workshop platform. Testing prototypes early and often is an important step in the design process, saving you time and money before you invest too heavily in the build. We are working with customers and on delivering the first iteration of this exciting new product. Stay tuned for Prototypes coming in the second quarter of 2024.
Workspaces 🎉
Making Optimal Workshop easier for large organizations to manage teams and collaborate more effectively on projects is a big focus for 2024. Workspaces are the first step towards empowering organizations to better manage multiple teams with projects. Projects will allow greater flexibility on who can see what, encouraging working in the open and collaboration alongside the ability to make projects private. The privacy feature is available on Enterprise plans.
Questions upgrade❓
Our survey product Questions is in for a glow up in 2024 💅. The team are enjoying working with customers, collecting and reviewing feedback on how to improve Questions and will be sharing more on this in the coming months.
Help us build a better Optimal Workshop
We are looking for new customers to join our research panel to help influence product development. From time to time, you’ll be invited to join us for interviews or surveys, and you’ll be rewarded for your time with a thank-you gift. If you’d like to join the team, email product@optimalworkshop.com
If you missed our recent live training on Prototype Testing, don’t worry—we’ve got everything you need right here! You can catch up at your convenience, so grab a cup of tea, put your feet up, and enjoy the show.
In the session, we explored the powerful new features of our Prototype Testing tool, offering a step-by-step guide to setting up, running, and analyzing your tests like a seasoned pro. This tool is a game-changer for your design workflow, helping you identify usability issues and gather real user feedback before committing significant resources to development.
Here’s a quick recap of the highlights:
1. Creating a prototype test from scratch using images
We walked through how to create a prototype test from scratch using static images. This method is perfect for early-stage design concepts, where you want to quickly test user flows without a fully interactive prototype.
2. Preparing your Figma prototype for testing
Figma users, we’ve got you covered! We discussed how to prepare your Figma prototype for the smoothest possible testing experience. From setting up interactions to ensuring proper navigation, these tips ensure participants have an intuitive experience during the test. For more detailed instructions, check out our help article
3. Seamless Figma prototype imports
One of the standout features of the tool is its seamless integration with Figma. We showed how easy it is to import your designs directly from Figma into Optimal, streamlining the setup process. You can bring your working files straight in, and resync when you need to with one click of a button.
4. Understanding usability metrics and analyzing results
We explored how to analyze the usability metrics, and walked through what the results can indicate on click maps and paths. These visual tools allow you to see exactly how participants navigate your design, making it easier to spot pain points, dead ends, or areas of friction. By understanding user behavior, you can rapidly iterate and refine your prototypes for optimal user experience.
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.
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:
Efficiency. Not only does AI expedite the problem solving process, it can also help efficiently identify problems.
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.
“If storymapping could unearth patterns and bring together a cohesive story that engages audiences in the world of entertainment and film, why couldn’t we use a similar approach to engage our audiences?’Donna Lichaw and Lis Hubert
User Experience work makes the most sense to me in the context of storytelling. So when I saw Donna Lichaw and Lis Hubert’s presentation on storymapping at edUi recently, it resonated. A user’s path through a website can be likened to the traditional storytelling structure of crisis or conflict, exposition — and even a climax or two.
The narrative arc and the user experience
So just how can the same structure that suits fairytales help us to design a compelling experience for our customers? Well, storyboarding is an obvious example of how UX design and storytelling mesh. A traditional storyboard for a movie or TV episode lays out sequential images to help visualize what the final production will show. Similarly, we map out users' needs and journeys via wireframes, sketches, and journey maps, all the while picturing how people will actually interact with the product.
But the connection between storytelling and the user experience design process goes even deeper than that. Every time a user interacts with our website or product, we get to tell them a story. And a traditional literary storytelling structure maps fairly well to just how users interact with the digital stories we’re telling.Hence Donna and Lis’ conception of storymapping as ‘a diagram that maps out a story using a traditional narrative structure called a narrative arc.’ They concede that while ‘using stories in UX design...is nothing new’, a ‘narrative-arc diagram could also help us to rapidly assess content strengths, weaknesses, and opportunities.’
Storytelling was a common theme at edUI
The edUi conference in Richmond, Virginia brought together an assembly of people who produce websites or web content for large institutions. I met people from libraries, universities, museums, various levels of government, and many other places. The theme of storytelling was present throughout, both explicitly and implicitly.Keynote speaker Matt Novak from Paleofuture talked about how futurists of the past tried to predict the future, and what we can learn from the stories they told. Matthew Edgar discussed what stories our failed content tell — what story does a 404 page tell? Or a page telling users they have zero search results? Two great presentations that got me thinking about storytelling in a different way.
Ultimately, it all clicked for me when I attended Donna and Lis’ presentation ‘Storymapping: A Macguyver Approach to Content Strategy’ (and yes, it was as compelling as the title suggests). They presented a case study of how they applied a traditional narrative structure to a website redesign process. The basic story structure we all learned in school usually includes a pretty standard list of elements. Donna and Lis had tweaked the definitions a bit, and applied them to the process of how users interact with web content.
Points on the Narrative Arc (from their presentation)
Exposition — provides crucial background information and often ends with ‘inciting incident’ kicking off the rest of the story
Donna and Lis pointed out that in the context of doing content strategy work, the inciting incident could be the problem that kicks off a development process. I think it can also be the need that brings users to a website to begin with.
Rising Action — Building toward the climax, users explore a website using different approaches
Here I think the analogy is a little looser. While a story can sometimes be well-served by a long and winding rising action, it’s best to keep this part of the process a bit more straightforward in web work. If there’s too much opportunity for wandering, users may get lost or never come back.
Crisis / Climax — The turning point in a story, and then when the conflict comes to a peak
The crisis is what leads users to your site in the first place — a problem to solve, an answer to find, a purchase to make. And to me the climax sounds like the aha! moment that we all aspire to provide, when the user answers their question, makes a purchase, or otherwise feels satisfied from using the site. If a user never gets to this point, their story just peters out unresolved. They’re forced to either begin the entire process again on your site (now feeling frustrated, no doubt), or turn to a competitor.
Falling Action — The story or user interaction starts to wind down and loose ends are tied up
A confirmation of purchase is sent, or maybe the user signs up for a newsletter.
Denouement / Resolution — The end of the story, the main conflict is resolved
The user goes away with a hopefully positive experience, having been able to meet their information or product needs. If we’re lucky, they spread the word to others!Check out Part 2 of Donna and Lis' three-part article on storymapping. I definitely recommend exploring their ideas in more depth, and having a go at mapping your own UX projects to the above structure.
A word about crises. The idea of a ‘crisis’ is at the heart of the narrative arc. As we know from watching films and reading novels, the main character always has a problem to overcome. So crisis and conflict show up a few times through this process.While the word ‘crisis’ carries some negative connotations (and that clearly applies to visiting a terribly designed site!), I think it can be viewed more generally when we apply the term to user experience. Did your user have a crisis that brought them to your site? What are they trying to resolve by visiting it? Their central purpose can be the crisis that gives rise to all the other parts of their story.
Why storymapping to a narrative arc is good for your design
Mapping a user interaction along the narrative arc makes it easy to spot potential points of frustration, and also serves to keep the inciting incident or fundamental user need in the forefront of our thinking. Those points of frustration and interaction are natural fits for testing and further development.
For example, if your site has a low conversion rate, that translates to users never hitting the climactic point of their story. It might be helpful to look at their interactions from the earlier phases of their story before they get to the climax. Maybe your site doesn’t clearly establish its reason for existing (exposition), or it might be too hard for users to search and explore your content (rising action).Guiding the user through each phase of the structure described above makes it more difficult to skip an important part of how our content is found and used.
We can ask questions like:
How does each user task fit into a narrative structure?
Are we dumping them into the climax without any context?
Does the site lack a resolution or falling action?
How would it feel to be a user in those situations?
These questions bring up great objectives for qualitative testing — sitting down with a user and asking them to show us their story.
What to do before mapping to narrative arc
Many sessions at edUi also touched on analytics or user testing. In crafting a new story, we can’t ignore what’s already in place — especially if some of it is appreciated by users. So before we can start storymapping the user journey, we need to analyze our site analytics, and run quantitative and qualitative user tests. This user research will give us insights into what story we’re already telling (whether it’s on purpose or not).
What’s working about the narrative, and what isn’t? Even if a project is starting from scratch on a new site, your potential visitors will bring stories of their own. It might be useful to check stats to see if users leave early on in the process, during the exposition phase. A high bounce rate might mean a page doesn't supply that expositional content in a way that's clear and engaging to encourage further interaction.Looking at analytics and user testing data can be like a movie's trial advance screening — you can establish how the audience/users actually want to experience the site's content.
How mapping to the narrative arc is playing out in my UX practice
Since I returned from edUi, I've been thinking about the narrative structure constantly. I find it helps me frame user interactions in a new way, and I've already spotted gaps in storytelling that can be easily filled in. My attention instantly went to the many forms on our site. What’s the Rising Action like at that point? Streamlining our forms and using friendly language can help keep the user’s story focused and moving forward toward clicking that submit button as a climax.
I’m also trying to remember that every user is the protagonist of their own story, and that what works for one narrative might not work for another. I’d like to experiment with ways to provide different kinds of exposition to different users. I think it’s possible to balance telling multiple stories on one site, but maybe it’s not the best idea to mix exposition for multiple stories on the same page.And I also wonder if we could provide cues to a user that direct them to exposition for their own inciting incident...a topic for another article perhaps.What stories are you telling your users? Do they follow a clear arc, or are there rough transitions? These are great questions to ask yourself as you design experiences and analyze existing ones. The edUi conference was a great opportunity to investigate these ideas, and I can’t wait to return next year.
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