

Elevating business class travel with personal connection
Redesigning the long-haul travel experience through the relationship between attendant and passenger.
The key to winning the competition in high-end business class air travel lies in the level of service. Legacy European carrier Lufthansa approached IDEO to help redesign its long-haul, business-class service experience into one that’s thoroughly modern, distinctly Lufthansa, and centered on the new needs of today’s discerning passengers.
After putting themselves in the shoes of both travelers and flight attendants on a variety of different airlines, the IDEO design team found that what matters, above champagne and fancy food, is a personal connection between crew and passenger. They used this insight to focus on a new goal: Flight crew consider themselves to be travelers’ trusted, knowing hosts.
To achieve the goal, the design team focused on improving service in six key travel moments, then built a cardboard 1:1 scale mockup of different parts of an airplane to see what they’d need. Designers tested the service in a full section of an Airbus A380 at the airline’s Raunheim, Germany, facility, with real passengers and crew. This prototyping process was crucial, as executives witnessed firsthand how big an impact the new service would have across the organization, which includes 18,000 flight attendants.
Rolling out across the fleet, Lufthansa’s hospitable new service is already getting a good reception among crew. “Pampering passengers like this—individually and personally—was the reason why I started flying for Lufthansa 25 years ago,” said Sabine Schwarz-Odewald, senior flight attendant.


Designing the future kitchen
How we will cook, eat, and socialize at home.
Of all the rooms in our homes, the kitchen is the center of energy, activity, comfort, and creativity—the beating heart of any dwelling. In the coming decade, as our environments and habits change, the kitchen as we know it will evolve drastically. More people will move into cities, and our living spaces will become smaller. Natural resources will become more scarce, food more expensive, and waste an increasingly urgent issue. Near-instant grocery delivery will alter how we shop for and store food, and technology will be embedded in every part of our homes.
What will the kitchen of the future look like, and, more important, what will it feel like to cook, eat, and socialize there?
For IKEA, the world’s biggest furniture store, the time to start designing the kitchen of 2025 is now. So IKEA asked IDEO London and a group of students from Lund and Eindhoven universities to explore the social, technological, and demographic forces that will impact how we behave around food in 2025. The students spent months researching people’s attitudes and ideas about cooking and eating, and IDEO designers guided them as they built concept kitchen products.

To bring these future concepts to the present day, IKEA asked IDEO to design and build a full-size concept kitchen for 250,000 visitors to test out during the Salone Del Mobile in Milan and a six-month stint at EXPO Milano.
Mindful design
Crucial to the success of the project was preserving the tactile creative pleasure of the kitchen. Technology could easily make the space feel robotic and sterile, but this project was guided by the need to use tech to enhance the kitchen’s warmth.
The Concept Kitchen 2025 doesn’t automate away personal choices, but rather facilitates mindfulness with embedded cues throughout the kitchen that subtly guide people toward being conscious of their actions and making informed decisions. In designing the prototypes, the following few concepts emerged.
The Modern Pantry encourages us to have a closer relationship with what we eat by storing food in transparent individual containers on open shelves rather than hiding it at the back of the fridge. The design makes it easy to be inspired by what’s on hand rather than going out to buy more, and it also saves energy: Induction-cooling technology embedded into the shelves responds to RFID stickers on the food’s packaging in order to keep the containers at just the right temperature.

The Table for Living is designed to inspire people to be more creative with food and throw away less. At a loss for what to do with that leftover broccoli? Just place it on the table and a camera recognizes it and projects recipes, cooking instructions, and a timer directly onto the table's surface. Set the timer for how long you want to spend preparing the meal, and the table suggests recipes that can be completed in the window you have available. The table is a nifty solution for a smaller urban dwelling because it’s multimodal: Hidden induction coils instantly cool the surface when not in use, so it’s adjustable for working, cooking, or eating.
The Modern Sink pushes us to be more conscious of our water consumption with a pivoting basin. It must be tipped to one side to drain toxic, or “black,” water, and to the other for safe “gray” water, which is not drinkable but can be filtered and used in a dishwasher or as nourishment for the cooking herbs that grow above the sink.
The Thoughtful Disposal system is a response to the overuse of landfills, and reminds us of exactly what we’re throwing away. Users manually sort recycling from rubbish, and recyclables are then crushed, vacuum-packed, and labeled for pick-up, earning credits for the conscientious (and debits for the wasteful).
IKEA’s kitchen and dining range manager, Gerry Dufresne, explained that the Concept Kitchen 2025 is not really a functional kitchen, but rather “a tangible communication of what the behaviors of the future will be.” It’s just the start of IKEA’s journey toward understanding how those behaviors will shape the company’s future, and Dufresne says the findings will be carried forward into future product development.


Designing the audience experience
At NBC's TODAY Show, visiting audiences benefit from a welcoming place to cheer.
Long before Tina Fey’s hit show 30 Rock made it a household name, Rockefeller Center was among Manhattan’s most popular destinations. Not least because NBC’s TODAY show starts every morning by filming its gaggle of fans gathered at Rockefeller Plaza.
When TODAY asked IDEO to help design the experience of their guest audiences before, during, and after the show, IDEO's team joined the fray—standing behind the barricades from 7 to 9 a.m. alongside the show’s visitors.

We gathered feedback and learned what was most important to this dedicated audience: to feel a human connection to the people they had shared their mornings with—every day, for years, sometimes for decades. Visitors wanted a celebration, an event they could document and remember, and of course a clear sense of where to go and what to expect once they arrived.
TODAY’s morning time slot offered an additional challenge: The visitor experience would need to be assembled and fully dismantled every morning, leaving Rockefeller Center in its pristine historic state immediately after the cameras stopped rolling.

To ensure a solution that would be both satisfying to visitors and viable for the show, IDEO engaged audiences, anchors, and crew in a series of live prototypes that incorporated feedback from all sides and designed a warmer, more human-centered experience for everyone involved.
Visitors to the show can now RSVP at TODAY.com/visit beforehand. When they arrive at the new iconic archway on 49th Street, they are given clear directions by dedicated plaza staff on what to expect during their visit. The audience can also craft posters to display in the crowd, receive commemorative Birthday, Bucket List, or Super Fan buttons that recognize special occasions during their visit, and watch live video and audio feeds to build excitement and momentum when the anchors head into the studio.
From the moment visitors decide to visit TODAY at Rockefeller Center to the weeks after when they share memories with friends, the revamped plaza experience ensures visitors feel cared for and appreciated. They now leave feeling that they’re more than just spectators—they’re the heartbeat of TODAY.


Designing a workspace that inspires
Headquarters that reflect a brand's warmth and transparency.
Brands don’t take bank holidays. A successful company doesn’t just find solutions during strict nine-to-five office hours—the strength of its relationship with its customers is based on openness to good ideas and flexibility around the unpredictable ways that real people live and work.
Over a five-year relationship with GS Shop, a multichannel commerce company based in Korea, IDEO helped the company develop a brand that reflected an emphasis on openness, transparency, enthusiasm, participation, personalization, and distinction.
When it was time for GS Shop to build a new headquarters, it wanted these ideals to be baked right into the structure of the new building, inspiring the interactions and work styles that would define the company’s future. The team started by looking at one of the most fundamental factors in their employees’ day-to-day experience, the physical spaces where they did their work.
The designers broke down all the elements of the space, including everything from flexible wall configurations to nature-inspired fabric choices that brought the outside in. At the core of their decision-making was the intersection of environment and behavior: How could a certain configuration of desks help new ideas to bubble up? How might the transparency of the boardroom walls encourage executives to make more collaborative decisions?
Traditional Korean business culture places a strong emphasis on hierarchy, but IDEO found that teams worked better when they arranged seating areas in ways that decentralized the boss. Coworkers had felt isolated from those in other business units, so the designers created room for impromptu gatherings outside common meeting spaces. Everything from functional needs, like toothbrush storage, to features that encouraged cross-pollination of ideas, like a set of shelves where departments could share examples of their work with other units, was taken into account.
The result was both an entirely new headquarters and a reimagining of the company’s existing building, each closely mirroring the renderings and recommendations provided by IDEO. GS Shop employees are now working in the new spaces, ready to field new ideas wherever—and whenever—inspiration strikes.



Values-led prototyping for next-Gen creative AI
Playful methods for designing emotionally-resonant AI experiences.
If you missed the first installment of our Gen Z + Gen AI prototyping series, you can catch up here.
“I could see myself starting up a business someday,” one high-school senior told us. “So say I wanted to make visuals, or ads for that—I'll want to have an AI guide me through the creative process.”
To find out what that really means in practice, we prototyped a set of creative AI tools and asked a cohort of young people between 13 and 24 to test them in their own work and lives.
AI Creator vs. AI Collaborator
We built two contrasting prototype experiences to test the breadth of roles, capabilities, and personalities that a creative AI might have. On one end of this spectrum, we have an AI that is designed around speed and efficiency. Its interface is meant to feel highly-optimized to get you the best, most suitable output possible in minimal time.
On the other end, we created a hyper-collaborative creative partner more focused on helping you express your own unique style. This AI can not only create content, but share inspiration—helping Gen Zs discover new styles, see what’s trending, narrow down likes and dislikes, and gain insight into their own personal tastes.
We then customized our prototypes to fit each participant’s life context.

Exploring the values behind our designs
In testing our range of prototypes, we found that no AI creative tool will work for everyone in every moment. Gen Zs have a wide spectrum of values when it comes to what they want from creative tools—some value speed and efficiency, while others value deeper collaboration and personal expression, and their values may fluctuate as they go from one context to another.
For quick, everyday creative needs—efficiency is key.
We heard from Gen Zs whose lives are extremely busy—from managing social media for multiple school groups to starting and running their own businesses, and keeping up with school, family, and social circles. There isn’t always a lot of time or energy left over for lengthy creative processes. "Social media doesn't feel meaningful to me, only the end goal,” a college freshman told us. “So I love that this AI can help me reach that end goal faster.”
To design for users like this one, the challenge lies in getting to a satisfying creative output faster, in minimum time. The distance between prompt and output should be short, and UX should offer visual templates and clear parameters that help people to create quickly in a well-defined style.
For creators, aspiring professionals, and artists, AI should show up as a more nuanced collaborator—offering tools for inspiration, personal expression, and a greater depth of creative control.
On the flip side, we heard from Gen Zs who aspire to create original and expressive work. "I think the ability to re-edit to make it have a more human touch and connection makes it a good tool. I want a good combination of AI and human—in graphic design at least,” Cole, one of our Gen Z collaborators, told us.
For Gen Zs who value craft and personal expression, the distance between prompt and output needs to be longer. Future collaborative AI interfaces will need to allow for more rounds of feedback, create more opportunities for humans to give direction, and be capable of working with multi-modal inputs—such as reference images, sketches, font files, CAD files, and more. These more collaborative AI experiences should still offer tools for humans to create and customize by hand. The challenge here is not to replace human craft and creativity, but to design interfaces that help AI augment our creativity to deliver output nuanced enough to match the richness of personal expression that Gen Zs want, alongside tools for them to add their unique vibe by hand, too.
An AI-enabled creative future
So what does all this mean for the future of AI? AI experiences themselves should continuously work to establish user intent, and to understand what good means in different moments—does a user need a quick solution, or a creative partner? As a rule, designers should offer multiple options for how their AI shows up in terms of tone, role, capabilities, and suggestions to users, and put in the work to continually listen, discover, and elevate the most relevant options for their audience.
Creativity is just one of the many spaces where we are listening, discovering, and experimenting with how to prototype future AI experiences; we are also exploring how AI should show up in education, mental health, work, social media, and more. Stay tuned for our next piece, which dives into how Gen Z feels about AI personal assistants entering the group chat.
Parts of the images in this article were created/altered using generative AI.
When we first started exploring the possibilities of creative AI products with a group of Gen Zs, they were clear about what they want: tools that scaffold the creative process, lower the barriers to entry, and connect creative communities.


Prototyping at the speed of AI
Methods for testing product value with Gen Z.
To monitor how use cases have shifted over time, we developed a social listening tool to scrape AI hashtags on TikTok, creating a visualization of conversations and communities.
In the spring of 2023, much of the positive sentiment around AI was associated with productivity-related hashtags—activities like homework and writing. By October, AI music became its own distinct community, and hashtags for AI fanfiction, AI anime, and memes grew. Our most recent scrape in early 2024 showed us that AI is shifting from a predominantly solo activity to one centered on community. Hashtags like #aiart and #aiartcommunity are growing in size and in connections, suggesting that AI-generated art isn’t created in a silo—people are sharing their experiences.
In just a matter of months, Gen Zs have evolved their use cases to align with their priorities—sharing their passions and connecting with communities in playful and imaginative ways.
AI companies are also moving fast. The race to create the most impressive and jaw-dropping AI products is adding frenetic urgency, and companies are spending millions of dollars on development resources, then quick-launching new products with the hopes that they will be well received. Often, launch is the first time companies are able to test out their products in the real world.
We are seeing rapid technological progress, but also backlash against irresponsible designs and technologies that have real potential to clash with human values and cause harm. We believe AI has potential for revolutionary experiences and capabilities that improve the ways we live, connect, and play. But we also believe this future requires a foundation of trust and responsible design.
To that end, we are experimenting with a different way of developing AI products—one that doesn’t compromise speed but also aligns with human values. By designing experiential prototypes that mimic real-world scenarios, we can create tight feedback loops that get us better user feedback, sooner. These prototypes are run in contained settings where we can look for unintended consequences. (Picture two people with paper scripts, role-playing what it feels like to interact with AI in a particular scenario.) We don't need to build the technology needed for the experience to work—our first step is to test for emotional value. That way, we focus our development resources on building the most impactful and responsible products and experiences possible.

In an earlier phase of our research, we used the results of our social listening experiments to work directly with members of Gen Z between the age of 13-24, talking through potential product concepts and gathering their reactions. This time, we’re going deeper, prototyping products that have AI taking on different personalities and roles with a group of Gen Zs who are coming of age, gaining life skills, and forming their sense of identity as AI is also taking shape in our society. With their help, we’re learning how to build future AI experiences that center their values and needs.
Growing up with social media, members of this generation have already felt the potential impact irresponsible technologies can have on their mental health and relationships, and they have a critical eye for both opportunity and responsibility. While they are strong proponents of the products and brands that they believe in, they're also not shy about making their voices heard when products clash with their values systems.
In this series, we will put eight AI prototypes to the test. By leaning into immersive research tools like experiential testing and imaginative playtesting, we are focusing our learning objective on measuring how these young people feel when they are using AI products, and how the products would impact their perception of themselves and their relationships. For us, understanding the value of the product in the context of the user’s life, their value systems, and relationships is a crucial step that helps us identify the features and technical capabilities that are worth investing in. Join us as we dive into new prototyping methods for designing and testing the edges of what future users really want from AI.
Parts of the images in this article were created/altered using generative AI.
The ways Gen Z is using AI are evolving almost as fast as the technology itself.


AI can make our climate work more human
Why we’re focused on desirability.
It’s a way to optimise and improve inefficient and wasteful processes and accelerate emissions compliance—and it’s a great one. But when we leverage AI to shape demand for sustainable solutions, it's also an incredible collaborator.
After all, design is about integrating perspectives, and doing it in a systemic, inclusive way. AI can give us the ability to make our eyes and ears go further while managing exponential complexity. Paradoxically, it can even make us more human centred by making it feasible to access and include more user, employee, and community perspectives.
At Economist Impact’s recent Sustainability Week in London, we discussed how this approach can succeed, but only when CEOs see sustainability and innovation as one interrelated competitive advantage—and bring them together with a shared remit, adequate bandwidth, and complementary skills. AI can then act as a powerful accelerator, helping to create solutions that meet climate commitments and business objectives.

Unlocking nature’s perspective with data
This was the case in our work with H&M, which allowed us to delve into its data warehouse as part of its aggressive pursuit to be climate positive by 2030. The fashion giant was dealing with a problem that so many clothing manufacturers face: Traditional supply chain models make it very hard to predict the demand for a specific item of clothing several months in the future. Siloed teams along a supply chain made solving that problem even more complex.
By leveraging machine learning, we were able to incorporate the perspectives and needs of those teams and create an algorithm that could better predict demand and shorten the interval between sales and production. H&M didn’t just reduce excess inventory (and therefore waste), but also better anticipated which products might sell out. The result: In a pilot programme, which has since been scaled more widely, the company improved sales of specific lines by a third while reducing stock by a fifth, a change that was better for its bottom line, and the environment.
Nature doesn’t appear on balance sheets, and yet most businesses depend on it.
With advances in AI, gains like these can come faster and be more complete—particularly if we take that kind of approach a step further and use nature metrics to train AI models. One of the best ways to approach this is to think of nature as a critical part of your infrastructure and start measuring it as you would any other element. Nature doesn’t appear on balance sheets, and yet most businesses depend on it. In most cases, that data—metrics around land use, water regeneration, forestation, net biodiversity gain, etc.—is available, but simply isn’t being collected and put to use. That means one of the chief perspectives we should consider, that of nature, isn’t being voiced. AI can provide the vocal cords.
Tequila companies, for instance, don't include information about the health of bat populations in their investor reports. But as bat conservationists will tell you, without bats to pollinate agave, there's no tequila. Imagine how bat conservation and food security would improve if tequila manufacturers started tracking bats’ habitat loss and used AI to spot trends, monitor for diseases, or determine effective and cost-efficient conservation strategies.

Solve for desirability down the chain
The data that powers AI is crucial, but it’s just part of the equation. The quality of the output depends just as much on the quality of the prompt. AI can act as a growth engine if we ask it to do so: to behave as a collaborator and surface the needs of more stakeholders in order to help designers create innovative, desirable products with better user experiences. And amid the race to net zero, desirability is key.
Mature technologies like electric vehicles (EVs) and photovoltaics (PVs) can help us curb emissions, but their “hockey sticks” are already showing signs of fatigue very early on in the race. The European EV market was almost flat in 2023, and PVs’ growth is forecasted to slow in 2024. What is going on?
We have been pushing the supply side—tech and regulation—without paying enough attention to the desirability side. PVs are still more expensive at the moment of purchase and cumbersome to install and use. It remains much easier to just pay your monthly electric bill and let the energy company worry about powering your home.
Ease was a major consideration in our work with Sage, a multinational accounting and business software company. Its visionary Chief Sustainability Officer and innovation team knew that the small and medium enterprises (SMEs) it serves often don’t know how they’re going to reach net zero, and lack the resources to do so. Yet, in the UK alone, they account for about 50 percent of business emissions. Together, we developed Sage Earth, an AI-powered platform that uses Sage’s deep accounting insights to calculate its customers’ emissions, both direct and indirect, easing their transition to net zero.
To achieve scale, we need people to adopt green products because they are better, easier, and more exciting, not because they are green.
To achieve scale, we need people to buy green products because they are better, easier, and more exciting, not because they are green. We need to be more demanding about the quality of the sustainable products and submit them to the same standards as any other product. AI can help us on that journey.
Recently, a fashion retailer described to us the challenges of using recycled cotton, which has a rougher texture. Trying to make T-shirts that maintain the same level of softness as those made from first-use cotton is impossible. Gen AI can use data about existing materials to formulate new ones, consider how to make them more regenerative, determine their best applications, and explore which users those products will most resonate with.
And there are many more users to design for in a regenerative world. To make our world more circular, we must consider all the humans that follow the first user: the second user, the person who will repair the item, the person who will redistribute it, the third user. Everyone has to desire the resulting product; otherwise, it ends up in a landfill. Thankfully, AI can help us empathise more systemically, not just with the first customer of a product and the subsequent ones, but also with the communities that will be at the receiving end of those products.
AI can help us empathise more systemically, not just with the first customer of a product and the subsequent ones, but also with the communities that will be at the receiving end of those products.
Think about the design for a new circular appliance, for instance. You aren’t always able to factor in the representation of local repair shops, local recyclers, and the whole ecosystem that will have to deal with the consequences of a new product landing in their community.
Now we can train GPTs that amplify previously-overlooked viewpoints, ask questions, and offer critique to the designers in ways that wouldn't be available otherwise. It provides us with more valuable real-world views and constraints and reduces the number of assumptions we have to make.
AI shouldn’t substitute for human intelligence but it can do some of the heavy lifting: giving us artificial patience, artificial thoroughness, artificial persistence, and artificial long perspective.
AI can help us capture more of what it is to be human by feeding all the nuances, needs, desires, and concerns that different communities have back to us. It can help us find insights in more of the data nature holds. It can bust through our limitations and complement our shortcomings. AI shouldn’t substitute for human intelligence, but it can do some of the heavy lifting: giving us artificial patience, artificial thoroughness, artificial persistence, and artificial long perspective. It can help us ensure the best choice is the easiest one to make, helping us navigate to a crucial, often overlooked lever in the climate fight: desirability.
We discussed “How Organisations Can Use Artificial Intelligence to Boost Sustainability” as part of a panel at Economist Impact’s 9th annual Sustainability Week in London. This piece captures some of what was discussed and our broader thoughts on the subject.
Parts of the images in this article were created/altered using generative AI.
Often, when we think about how AI can help us solve problems, we think of it as an efficiency driver.


Emerging tech can promote creativity and expand culture
More than ever, global voices can find scale and influence.
Think back: Starting from the camaraderie of chat rooms in the '90s which created space for gay men to safely build community, to the social media boom of the mid-’00s that redefined global interactions, we've witnessed seismic shifts in how we connect with others and explore our identities. The proliferation of smartphones further catalyzed this transformation, embedding digital interactions into the fabric of our daily lives and birthing the attention economy that dominates today's tech landscape. Influencer culture cemented larger narratives that shape trends, fashion, and societal norms.The 2020s have centered Web3, XR, and AI in the global techno-sphere, creating new mediums for us to convene with others, rethink the design patterns of the past, and creatively express ourselves.
As designers, we are often tasked with navigating the complex interplay between individuality and collectivity. The question becomes: How can we leverage technology to enhance personal expression while fostering a rich, diverse cultural landscape premised on care, understanding, and communal values? This challenge is not just about creating functional designs, but about understanding the broader implications of our work on the cultural ecosystem.
The good news? Technology is entirely made up, by humans, and all of it can be evolved.
When it’s done well
The positive aspects of this convergence are manifold. The spread of digital tools and platforms has led to an unprecedented explosion of creativity. Now, more than ever, global voices can find and scale messages, meshing our shared cultural fabric.
Projects like Carne y Arena, a virtual reality installation that immerses participants in the harrowing journey of refugees crossing the US-Mexico border, exemplify the power of technologies like XR to foster understanding, transcending physical and cultural boundaries to tap into the human condition. In the installation, you take off your shoes, feel wind blowing against your skin, and then find yourself in the 360 sight, sound, and touch of the experience, thanks to VR and a body pack.
As the director, Alejandro Iñárritu, explains, "My intention was to experiment with VR technology to explore the human condition in an attempt to break the dictatorship of the frame—within which things are just observed—and claim the space to allow the visitor to go through a direct experience walking in the immigrants' feet, under their skin, and into their hearts.”
4D experiences like Carne y Arena offer new, visceral ways of activating senses and emotional tones that we are far less able to access in 2D. VR is an incredible storytelling mechanism, and it can be an incredible tool anywhere we are designing for human experiences—like policy implications in government, or caregving in hospitals. Projects like this underscore the potential for design to bridge individual and collective experiences in meaningful ways.
Similarly, during Goliath: Playing With Reality, I immediately felt like every school curriculum should be filled with VR experiences. Through this VR-enabled, animated storyline, we delve into the life of Goliath, a person experiencing schizophrenia. Goliath's narrative highlights years of seclusion in psychiatric facilities and his journey toward finding community in online multiplayer games. The experience invites viewers into his mental world, showcasing the significant role digital communities play in fostering friendships and support, often beyond their initial design intent.
Project Common Voice by Mozilla stands as a beacon of how AI can be harnessed for cultural preservation. At its core, this project is a crowd-sourced database that gathers voice recordings from people around the world, aiming to share voice recognition technologies widely. By encouraging contributions in a multitude of languages, dialects, and accents, Common Voice plays a crucial role in safeguarding linguistic diversity. This effort not only supports the development of more inclusive voice recognition systems that can understand and respond to a broad spectrum of human voices, but also illustrates the capability of technology to support preservation of languages and dialects. In the broader context of design and technology's impact on culture, Project Common Voice exemplifies a commitment to using AI to respect cultural and linguistic diversity, thereby enriching the collective cultural landscape.
As a design tool, Common Voice pushed me to reconsider how AI can be used to design for inclusion at scale. The ability to plug in a service like this means that products can rapidly support more users in more contexts, removing some of the barriers and gatekeeping in many of our existing design paradigms for technology.
And as a final example: Someone close to me has long-term depression and anxiety. She found major collaborative iPhone games, like Clash of Clans, are a way to playfully connect with new people. For her, those friendships moved from online to real life, for life. She and her friends started to travel together—she even dated one for a while. Previously isolated, she ended up moving across the world, from the US to Europe, to live near her new friends. Her life has shifted for the better. She’s healthier, happier, and more connected in real life, as well as online.
As designers, we need to remember that the platforms that we design will be used in many ways outside of our intentions–for better and for worse. In my work at IDEO, I pay attention to how people make what we design their own; often, I fold those use cases in as the real value propositions, even if they are outside of the vision we start with as designers.

The flip side
The rapid integration of individual contributions into the collective domain has also caused irreparable damage. The accelerated pace at which personal expressions become part of the cultural lexicon compromises the depth and authenticity of cultural evolution. The risk of a homogenized, polarized, and defaulted monoculture, shaped by trends, algorithms, and the endless dopamine loops they feed, rather than organic self-understanding and cultural diversity, means that design needs to take on new values. The potential of powerful technologies to be used as surveillance arms means we need to put extra care and intention in how and what we build. The spectrum of ethical issues and social needs invite us to consider how we might use the mediums that come next–AI, XR, robotics, etc.–to preserve the richness of our personal, cultural, and social perspectives in a fast-paced digital world. That’s an opportunity for design.
As designers, we have a broader responsibility to the cultural zeitgeist. We need to advocate for designs that not only resonate on a personal level, but also contribute positively to the collective narrative. We are shaping the levers that culture will build and flow upon, and that’s a major responsibility. This dual focus on the individual and the collective calls for a nuanced approach to design, one that balances innovation with care, and personal expression with cultural nuance.
Parts of the images in this article were created/altered using generative AI.
Over the past 30 years, technology has converged individual creativity with our collective cultural experience, reshaping our personal realms and redefining the broader cultural tapestry in which we all participate.


Lindsey Turner
I’m passionate about building brands, products, and experiences that help organizations show up with meaning and momentum.
I help organizations cut through complexity by shaping how they show up, through brand strategy, identity, and storytelling.
Working at the intersection of brand and business, I bring an editorial eye and a bias toward making—turning ideas into tangible experiences that people can understand, trust, and believe in.
My work spans government, healthcare, financial services, media, and consumer goods, from launching Gen Z-focused ventures to building innovation labs and reimagining legacy brands. I relish moments of ambiguity and enjoy translating across teams, perspectives, and priorities to move ideas forward.
I started my career in editorial and digital design, shaping cross-platform experiences and identity systems in publishing and agency environments. That foundation still shapes how I work today: I’m detail-oriented, collaborative, and overreliant on the Oxford comma. I hold a BFA in Visual Communication from the School of the Art Institute of Chicago.


Rachel Young
My work helps organizations see who their products aren't working for—and build the will and the tools to do something about it
For 25 years, I've asked the same question: Who does this design exclude—and what are we going to do about it?
My work spans human-centered strategy, inclusive design, and qualitative research, with clients ranging from Microsoft, Google, and Verizon to the National Science Foundation, and San Francisco Unified School District.
Before IDEO, I taught elementary school in East Palo Alto and spent a decade doing design work with social service organizations—where I learned firsthand what it costs people when systems are built without them in mind.
I am currently writing User Error, a nonfiction book about digital access and the design decisions behind it. I live in Oakland, California.


Brian Pelsoh
I lead with craft, ensuring our work is creatively excellent: rooted in deep human insight and imagination, while also grounded in the realities of business and technology.
My expertise spans brand, communication, and product design across tech, education, the arts, and social impact.
I believe great work demands both high-level vision and obsessive attention to detail, and only happens through collaboration.
I bring an inclusive, hands-on approach and a deep understanding of business, which enables me to consistently deliver excellence while always asking why.
Before joining IDEO, I worked at the brand firms Pentagram and VSA Partners. I began my career as a designer, leading teams at the School of the Art Institute of Chicago and the Milwaukee Art Museum. I hold an MFA in graphic design from Maryland Institute College of Art and a BFA in communication design from the Milwaukee Institute of Art & Design, and have taught at some of the best design schools in the US.


Tony Wong
I am responsible for IDEO’s long-term success in China and working with clients to use design as a tool to enable growth.
I am responsible for IDEO’s long-term success in China and working with clients to use design as a tool to enable growth. Specifically, I have helped Chinese companies design holistic brand solutions through the development of their products, communication, services, and innovation teams, and I have helped multinationals expand their presence and influence in China.
I advise global leaders on developing China-led innovation and capabilities.
In over 15 years in IDEO Shanghai, I have worked on projects that use design to elevate the quality of the experience of healthcare products and services, streamline processes that increase productivity, create spaces and programs that promote and enable inclusive communities, and build next generation mobility solutions that are planet-positive.
Before joining IDEO, I worked at Philips Electronics and the Electrolux Group in Italy, the Netherlands, and Singapore on a number of breakthrough commercial products. I am a member of the Young President Organization in Shanghai.
How to use AI as an editor, not a writer
Ed White shares how he uses AI as an editor—not a writer—to sharpen storytelling, rehearse ideas, and preserve the productive friction that makes creative work better.
Ed White has a rule he's tested on his own writing: hold yourself as the writer, and let AI be your editor. Ed is a Senior Design Director at IDEO's London studio, where he co-leads the firm's AI portfolio across Europe. Before IDEO, he spent 12 years as a writer and editor at the Financial Times, Wired, and Contagious. So when he talks about when to use AI for storytelling and when not to, it comes from two decades of crafting his storytelling skills.
In this episode, Mina Seetharaman talks with Ed about two specific tools he uses to keep AI in an editor's seat: a "roasting agent" prompted to critique his drafts without any sugarcoating, and a simulated audience he rehearses pitches on before the real thing. They also get into what Ed is hearing from design leaders at Anthropic, Lovable, Shopify, and Google Creative Lab about how creative work is changing, and why he thinks the friction of writing something yourself is worth protecting rather than automating away.
Building a personal AI for the messiness of life: Sida Li
Becca Carroll talks with Cue co-founder Sida Li about designing a personal AI for the messiness of everyday life—not just work. They explore how Sida stays anchored to human needs while navigating fast-changing technology, product tradeoffs, business-model experimentation, and the realities of building an AI company today.
Most AI products today are built for work—a space with clear problems and established systems. One founder noticed a gap: personal life is messier, harder to systematize, and mostly left behind by the AI boom. So she built Cue, a personal AI that lives inside iMessage and group chats, to go where the other tools haven't.
In this episode, Becca Carroll, IDEO's Chief Strategy Officer, talks with Sida Li, co-founder and CEO of Shared Context Lab, about staying anchored to a human need while the technology around her keeps changing shape, why she treats her business model with the same rigor she'd bring to a product, and what it feels like to build a company at this particular, disorienting moment in AI.
The conversation also gets into how Sida makes design decisions: the language Cue uses to describe itself, the tradeoffs behind building inside iMessage instead of a new app, and a real story about a business idea that didn’t pan out.
This is the second in a two-part series profiling founders from IDEO's Startups-in-Residence program. The first conversation is with Johannes Seemann, founder of Sooner, on designing GenAI for the emotional side of money.
Designing GenAI for the emotional side of money: Johannes Seemann
Designing financial tools around the feelings that shape money decisions.
Most personal financial tools are built to run the numbers and optimize towards a budget. While that works for some, most people experience money as a lived relationship that does not neatly fit into a spreadsheet. Johannes Seemann and Becca Carroll discuss why money is emotional before it is mathematical, and what a human-centered approach to building a generative AI financial product looks like in practice.
The curious leader's edge in uncertainty: Scott Shigeoka
How genuine curiosity helps leaders navigate uncertainty with greater confidence.
Mina Seetharaman talks with Scott Shigeoka, author of Seek and Head of Curiosity Cultivation at the Eames Institute, about what distinguishes genuinely curious leadership from performative curiosity, how power dynamics shape curiosity, and why practicing curiosity can restore energy rather than drain it.
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