For 6-year-old Dave Jr., a long line at Disneyland triggered a massive meltdown. His parents were concerned and a little embarrassed, but not surprised; Dave Jr. struggled to keep his emotions in check.

Hoping to help, Dave Jr.'s uncle, entrepreneur Craig Lund, joined forces with researchers at Harvard Medical School and Boston Children’s Hospital, along with a video game designer who had worked on Quick Hit and NBA 2K. Together, they set out to design something that could teach coping skills to kids like Dave Jr. who need to manage “big emotions,” as well as children suffering from anxiety, ADHD, and other behavior issues, which are on the rise.

Their collaboration resulted in a video game called Mightier and a startup called Neuromotion Labs—a 10-person team of psychologists, game designers, and engineers who embedded at IDEO Cambridge for a one-month sprint to improve the game and get ready for launch.

To play Neuromotion's game, kids are first taught simple, calming breathing exercises. During gameplay, kids wear heart-rate monitors on a wrist or arm that detect spikes caused by stress or anger; as their heart rates go up, the game's difficulty increases. Kids have opportunities to pause and try deep breathing to counter the ramped up challenge. As it turns out, "gamifying" restraint builds strong incentives for kids to take charge of their emotions—they have to if they want to win.

Already activated around boosting mental and emotional health, IDEO's design team worked side-by-side with Neuromotion to study how parents and children experience Mightier. From home visits to group interviews to a summer camp-style design session with kid players, live feedback fueled the next iteration of the gaming platform and better product-market fit.

IDEO helped Neuromotion hone the visual design and mechanics of Mightier and expand it's suite of games. The team observed that the Mightier program was more successful the more involved parents of players became, which revealed a need for additional resources for adults. So they created new supports, including a more detailed orientation and a personalized coaching service for parents staffed by trained therapists.

But can a video game actually help kids cope? Early peer-reviewed studies showed that playing Mightier reduced outbursts by 62 percent, oppositional behaviors by 40 percent, and parental stress by 19 percent. After 12 weeks of using Mightier, a survey of kids and parents showed that 96 percent of parents saw positive behavior changes in their children, while 92 percent of kids learned new coping skills.

Shortly after the design sprint, Neuromotion secured its next round of funding and officially launched Mightier’s array of “bioresponsive games.” The games have already been played more than a million times, and Neuromotion has measured more than a 100 million heartbeats. Mightier games are helping kids and families across the country.

What about Dave Jr.? Recently, his sister told Lund she "accidentally" bumped Dave Jr.’s bike off a pier and into the ocean. She was expecting an outburst of anger, but after eight months of playing Mightier, Dave Jr. stayed cool. His uncle couldn’t be prouder.

Many of us have let vegetables wither in the crisper drawer, or thrown out a child’s half-eaten restaurant meal, but the sheer scale of food waste around the globe is hard to grasp. According to the United Nations, about a third of the food the world produces every year—1.3 billion tons—is lost during production or tossed by consumers, with North Americans throwing out the most food per capita. The average American wastes enough food each month to feed another person for 19 days.

IDEO received a series of grants from The Rockefeller Foundation to find solutions, given the power of IDEO’s human-centered design approach to address systemic challenges. Through a number of projects with The Rockefeller Foundation and other organizations, IDEO designers from across the U.S. devised novel ways to tackle food waste.

For IDEO’s first initiative, designers tapped into the enthusiasm of the broader creative community, in partnership with The Rockefeller Foundation, the City of San Francisco’s Department of Environment, the Closed Loop Foundation, ReFED, and other groups. In the summer of 2016, OpenIDEO—IDEO’s open innovation practice—launched the Food Waste Challenge, asking how people might curtail waste by rethinking our relationship with food. Between June and October, more than 20,000 people from 113 countries took part in the challenge, tracking their personal waste and brainstorming solutions.

Challenge participants submitted more than 450 ideas. A team of food industry experts helped select the 12 top proposals, which included software to help people buy food collectively from wholesalers and a service that delivers extra meals from corporate events to those in need. Ultimately, the Closed Loop Foundation chose to award Full Cycle Bioplastics a $50,000 grant to scale up its idea to convert inedible food and paper waste into a fully compostable alternative to oil-based plastic.

At the conclusion of the Food Waste Challenge, OpenIDEO launched the Food Waste Alliance, a platform for participants and experts to stay engaged with the most promising ideas and innovators. The alliance helped entrepreneurs share resources, prototype new concepts, secure funding, hire staff, and form partnerships. OpenIDEO invited hundreds to join the alliance, and 92 percent of members told IDEO they made progress in their work as a result. One member company, RISE, received funding from another participant who discovered RISE through the alliance. This investment let RISE prototype its concept for milling spent grain from beer brewing into flour for baked goods and ultimately join the prestigious Food-X accelerator.

The Rockefeller Foundation also supported IDEO’s work with City Harvest, a New York organization that collects 160,000 pounds of unused food each day and delivers it to soup kitchens and food pantries. City Harvest wanted to understand the habits of local families who visit food banks in an effort to ensure all the food the group distributes gets eaten. To get a peek into these families’ kitchens, in January 2017, IDEO researchers conducted observations and interviews across New York City’s five boroughs. Pantry customers cooked for the researchers, giving them an inside look at how the families engaged with the food they had available and what food meant to each of them: tradition, stability, even adventure. Based on insights from pantry visitors, IDEO made recommendations for City Harvest, including community-run cooking classes and a way for families to request specific foods or reserve pick-up times by text message. IDEO also created three video vignettes to help build even greater empathy between City Harvest and the people it serves.

In spring 2017, capping IDEO’s work with The Rockefeller Foundation, the organizations teamed up with World Wildlife Fund and Hyatt hotels in Florida, New York, and New Jersey to rethink all-you-can-eat buffets. IDEO studied diners and staff at Hyatt buffets and found that employees—from event planners to kitchen staff—each add a cushion of extra food to cover their bases, while guests overfill their plates to avoid missing out. In the end, diners eat just half the food organizers serve, while the rest goes to waste. This and other data-driven insights gleaned about diners’ habits led to subtle substitutions, including smaller plates of meats and cheeses that can be ordered from servers and individual pastries rather than whole cakes. These alternatives have not only built on Hyatt’s existing food waste management strategies, but have also helped reduce buffet costs at Hyatt Regency Orlando and continued to receive support from guests.

The problem of food waste is too enormous to ignore. Wasted food means squandered resources, lost money, and ultimately, hungry people—more than 15 million in the United States alone. Designers and innovators from coast to coast have helped find solutions to the crisis that fulfill a variety of needs, from preserving produce sent to food pantries to keeping plastic packaging out of the oceans. The Rockefeller Foundation and other IDEO partners are leveraging powerful design techniques to pave the way for a waste-free future.

In 2017, IDEO acquired longtime partner Datascope and integrated the company’s data scientists and engineers. Datascope team members aren’t just passionate data scientists; they’re human-centered designers who happen to work with data, as illustrated by successful collaborations like this one:

In today’s job market, there’s no such thing as being "done" with your education. This is particularly true in the fields of data science, machine learning, and AI, where significant advances are made on a monthly basis. To meet this need for more in-depth training, Metis—part of Kaplan—wanted to create a comprehensive data science program for students from all backgrounds. Metis asked Datascope to design the curriculum from scratch, drawing on the company’s deep expertise in the field.

Datascope spoke with practitioners across industries to identify the key skill sets that make them successful: a grasp of design; fluency with data management, coding, and algorithms; and effective communication with coworkers and the wider world. The team crafted a 12-week bootcamp that develops these specific abilities.

In order to prepare students for the work world, the bootcamp is structured less like a class and more like a company, where students are “hired” as data scientists—with projects to complete—starting on day one.

Students collaborate on group projects and presentations in a way that mirrors real workflows, and practice pair programming to learn from one another. Using techniques drawn from design, students are invited to refine their project briefs and continually reevaluate their approach.

Instead of a final exam, at the end of the course, students tackle five real-world, open-ended data science projects inspired by Datascope’s client work. One project involves using data from subway turnstiles to detect patterns in the volume of street traffic; another asks students to use data they scrape from the web to predict a movie’s box office profits using regression analysis.

After students complete the bootcamp, they receive an additional three months of career support, from mock interviews to site visits with potential employers. In addition to designing the curriculum, Datascope taught the first three student cohorts and helped Metis build its teaching team as it expanded the program from New York to San Francisco, Chicago, and Seattle. Metis now offers online courses, evening classes, and corporate trainings in data science.

If you’re going to take a data science bootcamp, it’s best to take one designed by data scientists.

You’re whizzing along on your bike, en route to a new restaurant for a client meeting. You reach an unfamiliar intersection; which way to go now?

Instead of dismounting and digging for a phone, you brush your hand along your jacket sleeve for directions, then double-tap the denim to re-start your music. Without taking your eyes off the road, you’ve taken care of the problem.

This intuitive interface for connected apparel began with Levi's, makers of durable workwear for 140 years, and Google, creators of forward-looking technology, which joined forces to fashion the first item of clothing with touch-sensitive, copper-core threads woven directly into the fabric. Once it was established that the first connected garment from the partnership would be a jacket within Levi’s Commuter line, with interaction on the sleeve, Google worked with IDEO, leaders in designing for human needs, to develop the gesture language of the jacket and industrial design of the technology within.

This is the first connected garment that helps us break free from devices. It seamlessly incorporates Jacquard by Google technology to perform digital tasks, such as navigation, communication, and music playing with a few swipes or taps on the sleeve.

Jacquard by Google—a platform that makes it possible to integrate touch and gesture interactivity into fabrics using conductive yarn and standard, industrial looms—was inspired by a curious twist of history. The Jacquard loom, invented in France in 1804, used punch cards to automate the process of weaving complex patterns into fabric. In the 1940s and ’50s, engineers employed a similar punch-card technique to program the first computers.

IDEO spent time on the project early on, collaborating with Google engineers and Levi’s clothiers on the jacket’s development, helping craft an experience that would make the intelligent threads intuitive to wearers.

Working alongside Google and Levi’s, IDEO’s work included:

• The industrial design of the electronics integrated into the snap tag and connector (the tag snaps onto the jacket’s cuff and connects to your phone via Bluetooth)
• A vocabulary of gestures on the cuff of the jacket that lets you interact with the jacket’s technology
• Early exploration of the basic design philosophy and conceptual design for the interaction model of a corresponding smartphone app that ties it all together (works with both iOS and Android phones)

The IDEO team’s first task was to validate what commuters of all stripes wanted from the garment, in addition to the work Levi’s did in researching with its consumers. In interviews, group exercises, and wear tests with urban cyclists and other workers on the go, the team learned that cyclists needed a way to stay connected, while still living in the moment. That meant being able to answer calls, hear text messages, get the next direction, and control their music without using a screen.

Levi’s, Google, and IDEO developed a language of movement for Jacquard-enabled fabric that feels familiar and human and builds on the ways people would naturally interact with a garment (a whole-hand brush along the sleeve, as opposed to a one-finger tap on a touch screen, for instance).

Then came the design and engineering of the snap tag on the jacket’s cuff, which gently notifies you of calls, texts, and other jacket interactions with light and vibration feedback. The flexible, lightweight strap incorporates the look and feel of a Levi’s jean button, while housing advanced electronics that capture touch data. The tag is removable, charges via USB connection, and works in conjunction with a mobile app that lets you configure settings for the garment, set notifications, and customize gestures and interactions.

The Levi’s Commuter Jacket with Jacquard by Google changes the game because it’s simply that—a jacket—with technology that adds new utility and value, allowing us to wear our everyday interactions on our sleeves.

The Levi’s Commuter Trucker Jacket with Jacquard by Google hit stores in October 2017.

IDEO and Google have a long history of collaboration. Learn more about our work on Google Bloks here.

In that room, we built an "Idea Catcher" wall, where employees could use Post-its to share ideas, questions, and answers with each other and with management.

We knew from previous studies that tough calls have a negative impact on employees for hours afterwards, and that constant monitoring can make call centers tricky places to work. But still, this Post-it showed up on the wall: “There’s positives in each call we take!” The energy that this space created showed us how involving agents in designing their jobs was a meaningful way to learn and grow.

Many of us spend much of our lives at work. We want it to be good and meaningful. But too often, workers don’t have the agency or satisfaction for that to be true. As work is increasingly monitored and automated, it’s critical that we design technology and tools to support workers' well being and sense of purpose. Over the years, we’ve pulled what we’ve learned from various projects into a set of four principles for designing good jobs.

1. Use new tools to encourage a sense of purpose 

Involving employees in creating the tools for their own work provides an opening for them to act on their own values, and reflect on what they like (or don’t like) about their jobs. During the mortgage project, our design team worked with call center agents and homeowners to understand both the “front stage” and the “back stage” of service delivery. For the agents, being able to make a personal connection with the caller was important to their sense of agency—their perception of their own capacity for making change and being creative at work. With that in mind, we prototyped a customer dashboard with a scripted conversation, along with customized cards that prompted agents to infuse their own words and experience into the interaction. Inspired by Brian Eno’s Oblique Strategies, the cards included questions like: “What’s the best advice you’ve ever gotten from someone else on your team?” and “Who is your role model? How would they handle the next call?” The prototypes addressed the tension between scripting and creativity, without burdening agents with additional oversight. Agents appreciated that the prompts recognized and supported their expertise and passion to engage with customers in a professional but personal way.

2. Design for values and emotions

Autonomy and creativity are foundational to high job satisfaction. Technologies like customer dashboards, time and task tracking, and software systems shape how we spend our time at work, what tasks we get to do and how, and fundamentally alter how we feel about and experience work. By designing for people’s values and emotions, new tools and systems have the potential to make work better. But that wasn’t the case when we first started working with a cruise line.

Employees (and also potential customers) thought that booking a vacation felt difficult, and compared the repetitive experience to the movie Groundhog Day. They constantly took their own notes, because the system didn't always log their entries, and had to search online to answer questions about their own services. To fix their frustration, the design team created a new dashboard that aggregated the information they were missing or currently keeping track of with pen and paper. By eliminating redundancy and cognitive load, the dashboard also made agents feel confident and informed—in their own eyes, as well as customers’. This marked a stark contrast to the earlier phase of work, in which agents had to look up the latest products and offerings on the company’s website, which gave them no more specialized knowledge than the customers calling in, deflating their image of themselves as confident service professionals.

The agents’ managers had a different problem: They hated using this tool on a desktop. They preferred to walk around and coach agents face-to-face. It was actually one of their favorite parts of the job. So, the designers moved the tool to a tablet, in order to preserve it.

3. Keep the work ecosystem in mind

Work is a true ecosystem; no worker or technology functions in isolation. Bonnie Nardi and Vicki O'Day, social scientists formerly at AT&T Labs and Xerox PARC, define an information ecology as “a system of people, practices, values, and technologies in a particular local environment.” It’s extremely effective for thinking through how technology can’t be implemented in a vacuum. Instead, technology should be deployed in service of individual and group goals. In the mortgage project, we were also responsible for creating a brand new role that combined service and sales. Since sales roles were mainly based on commission, and service roles on efficiency-based metrics, there was not a lot to incentivize collaboration and a new approach to homeowner relationships. Because agents had a sense of fulfillment that came from growth and financial success based on their personal skills and charisma, which was baked into the compensation structure, it was important that they be comfortable with new metrics and incentives. So, the team designed the new role to encourage long-term customer relationships by increasing base pay and the weight of customer experience metrics, along with more typical efficiency measures like length and volume of calls.

4. Co-create with employees to build trust

Trust is foundational to ethical research and successful design. By working side-by-side with employees to co-create their roles and the impact of technology on their day-to-day work, companies can model openness during times of change. In a project to redesign the patient experience for a new hospital building, the design team identified a key technology in need of innovation: appointment and medication scheduling software. Making custom medications accurately and on time in a hospital environment is crucial, because a small mistake can be fatal, and delays can be painful.

At the time, medications could only be processed in the order in which they were received—not by the level of urgency. For pharmacists, being able to process medications to fit patients’ schedules would improve workflow and ease stress. For patients, it would mean more visibility into upcoming care, and less pressure on families to keep track of medications. The lack of information between departments forced family members to play the role of mediator, communicating vital information in terms they weren’t familiar with. Pharmacists were motivated to provide the best care, but the siloed operating systems that governed appointment and medication schedules created a disconnect. So, the designers created a software refresh that would provide visibility into patients’ schedules, making the pharmacists’ relationship to the software more mutual and rewarding. They no longer felt they were missing the information they needed to do their jobs well. The ability to have a more holistic view into a treatment and current state of health also allowed them to better connect with the patients, one of the most meaningful parts of their job.

Designing for job satisfaction isn’t just a nice to have; not only is it the right thing to do, it leads to increased performance and lower attrition, and employees that are better able to deliver high-quality services to customers.

Rethinking roles, or how new technologies might affect jobs at your company? Get in touch to hear how IDEO can help.

A few years ago, when I was working on a project to help a mortgage company improve the work experience at its call centers, we created a living-room-like space we called "The Oasis," a live prototype of a space to take a break and reflect between calls.

These are also the kinds of spaces where AI is appearing in the form of new tools and personal assistants. But having AI show up on platforms Gen Z considers safe spaces can be problematic.

In the first phase of our research testing the edges of AI products with a group of Gen Zs, they laid out three principles to help guide us in our designs: Skip the engineered reality; elevate human intuition and empathy; and build in transparency. This time around, we made those principles tangible, by prototyping various expressions of AI personal assistants, and asking our Gen Z partners to test them out in the context of their own lives. 

We were also testing a hypothesis of our own, based on our work with this cohort: For users to feel they have the freedom to play and engage with AI, we first need to design a strong foundation of psychological safety. We believe that’s key to unlocking social AI experiences that Gen Z will truly want to use.

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Prototyping Road Trips

Because we’re working with Gen Zs, we created a prototype to help with a real part of their lives—planning a weekend trip with their friends in a group chat. In one version, an AI personality acted as a concierge, pulling together activities and itineraries in a way that was transparent and obvious to everyone in the group. In the other, the AI personality acted as an agent, operating in the background on the user’s behalf, hidden from the group’s view. The agent still pulled travel details together, but only one user could see them. It could also provide advice beyond logistical support—like how to tactfully respond to a friend if there’s a disagreement about which activities to prioritize.

When our Gen Z participants interacted with the Concierge and Agent, they were excited by the idea that AI can unlock more joyful social experiences, but they also voiced deep concerns about privacy, safety, and consent. Our participants reported that AI feels much more invasive than other technologies—more powerful, and with a greater ability to cause harm. 

“Having your whole schedule, characteristics, how you live your life—that being stored and potentially sold is a lot more damaging and scary than simply what you’re searching or sites you’re visiting, which is what we experience today,” one high school student said.

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Taking a bigger leap

We took these insights back to our team, and worked together to weave them into prototypes of new tools for Gen Z group chats. But we wanted to move past incremental change. AI enables new possibilities that haven’t existed before, so it’s important that we take bigger leaps. Instead of creating a souped-up version of the prototype we’d already made with our Concierge and Agent, we brought together perspectives from across IDEO—game designers, toy inventors, play experts, Gen Zs, researchers, and a magician—to imagine and build visions for totally new experiences.

Together, we came up with a concept called AI Playground, a discrete space contained within the group chat that helps make clear what information the AI can see and what its capabilities are. We also made AI Playground opt-in only; no one would see it by default. 

What does that look like? Imagine, you’re planning a weekend trip with your friends, and you can conjure your AI assistant into the group chat for a specific task— like generating a curated playlist or building a dynamic itinerary, unique to your friends and to this particular outing. Because there is a clear boundary between the Playground and the group chat, users don’t have to worry that their AI assistant can access everything that they say—it’s up to them what they choose to share. And because all users had to opt-in to join the space, they can feel more comfortable playing around and being themselves—generating GIFs to share an inside joke, creating music to match their mood, and more. Our goal was to enhance their play and increase their agency without intruding on their personal conversations.

A Safe Space to Play 

AI Playground is an example of an alternative way we could integrate AI personal assistants in group use cases, one that sets the conditions for trust and play.  As we learned in our research with Gen Zs, their friendship and relationship development is a key part of who they are, and they are highly sensitive to technologies that interfere with these bonds. By building safer AI experiences across all spaces and domains, we can unlock a better AI-enabled future for everyone. For more windows into AI prototyping focused on mental health, and how AI might revolutionize the ways Gen Z is preparing for their careers, subscribe to the IDEO newsletter.

Parts of the images in this article were created/altered using generative AI.

Many of Gen Z’s friendships and much of their relationship development happens online—on social media, online gaming platforms, and in community spaces and group chats.

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. 

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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.

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.

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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.

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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.

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.

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.

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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.

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.