Reset filters
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Latest work

Arming a 19th-century company with a 21st-century digital venture

Swell enabled values-driven consumers to make informed investment decisions.

Read more
Case study
Case Studies
Strategic Futures
Creative Capabilities
Breakthrough Products
Financial Services

For the socially-conscious, investing can be a tricky proposition. The same people who wish to vote with their wallets may find that their options for investment funds and 401K plans are rife with companies that violate causes they believe in. So far, there have been few options in the marketplace that give consumers the opportunity to put their money in financial products that not only cut out environmental and social offenders, but actually contribute to the well-being of the environment and society.

Dave Fanger, a financial professional, was determined to design a solution. He approached IDEO to help create a startup venture for socially-conscious investors. Pacific Life, a Fortune 500 financial services company and Fanger’s employer at the time, offered the resources to develop and launch the idea. The online impact investment platform gave consumers the opportunity to invest in high-growth industries that are addressing global, environmental, and social challenges. Swell rigorously screened companies for both impact and performance, so consumers could be confident that their investments were in line with their values.

A holistic approach

Embedded as core team members, IDEO designers worked alongside Swell’s founder to shape the company. In just one year, they went from an initial concept and prototype to an SEC-registered investment adviser with a fully developed business model, a digital platform with initial investors, and well-defined branding that set the look and feel of the values-driven company. The IDEO team helped to hire the initial team of employees, working to ensure that the fintech startup would have the creative talent it needed to operate post-launch, as well as a defined culture that would help it grow.

A new investment platform

From the outset, it was important for the team to build an innovative, digitally-fluent, and customer-centered platform to make it easy for investors to back causes they care about. Working in close collaboration with software development partner Carbon Five, Swell and IDEO committed to act nimbly, take risks, move fast, and ditch decks for prototypes. Understanding the motivations of the investor—their values and what drives their investment decisions—was key, so the team leveraged IDEO’s network to form a consumer council, which helped to quickly iterate and refine prototypes throughout the duration of the product development process. Having that core group involved every step of the way made it easy for the team to keep consumers at the center of the design and validate key decisions quickly.

Swell offered consumers portfolios of companies that work to solve some of today's biggest challenges. The six impact portfolios offered were: green tech, renewable energy, zero waste, clean water, healthy living, and disease eradication.

As of June 2019, Swell had attracted over 15,000 investors⁠—more than half under the age of 34⁠—and $35 million AUM. Nearly 40 percent of investors were making investments on a recurring basis.

Swell
Swell
Arming a 19th-century company with a 21st-century digital venture, voting experience, voting machine, accessible voting, Swell, financial services, fintech, financial innovation, digital transformation, digital experience, digital product design, UX design, venture design, new business creation, business model innovation, financial services innovation, banking experience, financial inclusion, how to launch a new business, how to design a digital product, innovation, product design, prototyping, product development, startup, transformation, new revenue streams

For kids, a new tactile way to learn coding

Helping Google design a set of blocks that can be arranged to code almost anything.

Read more
Case study
Case Studies
Strategic Futures
Creative Capabilities
Technology
Learning & Work
AI & Emerging Tech

Learning to code isn’t just about knowing symbols and syntax—it can help unlock kids’ imagination by inspiring them to build new things and interact with everyday objects through discovery and play.

With that in mind, Google Creative Lab came to IDEO to help with user experience and product design on their new coding tool for children. The result of the collaboration, Project Bloks, is a simple and interactive experience that teaches kids how to code using physical blocks. This establishes a new paradigm for learning computer science: it takes a language typically only understood through screens and keyboards, and makes it tangible.

Project Bloks was also designed as an open hardware platform, enabling developers and educators to build tangible programming applications that are innovative, educational and fun.

Kid-centered design

From the very beginning, how kids physically play and learn were at the center of the project. Designers quickly iterated using sketches, foam core, paper, Play-Doh, and 3D-printed models to see how slight changes informed children’s experiences. Understanding what deepened kids’ engagement, increased their curiosity and changed their behaviors drove the language, taxonomy, architecture, and physical form of Bloks.

Because play and physical building is an important way in which many kids develop skills, designers began with a set of blocks and sought to help them discover coding through tangible objects. Each block was given a specific function and shape, guiding kids to arrange, combine, and rearrange the blocks to create commands and control things like robots or speakers in the real world. Children could also create block patterns together by physically building on each other’s ideas.

An inside look at the design process. Video by Google.

Designing for early learners also forced the team to rethink how a new language could be taught. An early version of the blocks was based on how programmers typically code, from top to bottom. However, the team quickly realized that the orientation had to be driven by the child’s natural instincts. Given young children are just learning to read from left to right, designers observed that the switch in directions was too confusing and changed the arrangement of Bloks commands to go left-right in addition to top-bottom.

The final outcome of Project Bloks was an interactive coding kit comprised of three key parts - pucks, baseboards and a brainboard. The puck is a critical component that controls a command, whether it’s an on/off switch or the ability to move in a particular direction. It’s the piece that enables children to move from words to the world of graphics and play. The puck is easy to produce and can take an unlimited range of forms and functions, enabling the Bloks system to scale.

The baseboard reads the puck’s instruction and is activated when a puck is placed on top. The brainboard provides the power and connectivity. When hooked up to a baseboard or a chain of baseboards, the brainboard sends the instructions—turn left, jump, get louder—to a connected object, like a rocket or a speaker.

The boards can be rearranged, sequenced, and packaged however kids like, opening up a vast realm of possibilities. Children can code anything from a toy robot drawing a shape on a piece of paper, to a sensor turning on a fan when the temperature gets too high.

Designing and engineering Bloks from scratch.

Enabling innovation for education

Beyond a tangible coding kit, what makes Bloks unique is that it’s an open platform. Educators, developers, and designers can build on it to accelerate new ways of teaching and exploring tangible programming. The platform can fit into various curriculums around the world. The pucks can take on different shapes and graphics. The material used can be fabricated by 3D printing.

The Bloks platform is a new vernacular that allows kids to interact with the language of code in a way that’s less prescriptive and more open-form, like a sandbox. And the more kids play with Bloks, the more opportunities they discover for what they can create with a little bit of code.

Google Creative Lab, London
Google Creative Lab, London
For kids, a new tactile way to learn coding, robotics, human robot interaction, Google Creative Lab, London, technology innovation, digital products, education innovation, learning experience, future of work, AI, artificial intelligence, emerging technology, design for children, family experience, youth experience, innovation, user experience, product design, education, learning

Helping students navigate college and beyond

Creating a digital experience to support first-generation college students.

Read more
Case study
Case Studies
Strategic Futures
Breakthrough Products
No items found.

For students who are the first in their families to pursue higher education, navigating college can often feel like navigating a foreign country. Challenges like not having enough money or poor access to support services can make graduating an insurmountable hurdle. In fact, only 55% of these students in the United States end up completing their degrees.

To help change this statistic, IDEO partnered with Beyond 12, an organization that provides personalized, virtual coaching to first-generation college students to help them learn how to register for classes, apply for financial aid, and much more. The challenge was to scale Beyond 12’s successful coaching model using technology in order to benefit as many students as possible.

In 2014, IDEO designed the MyCoach app, with the goal of helping students take ownership of their education and feel in control of their future. After the early version of the app was named as a finalist in the prestigious Robin Hood Foundation College Success Prize, Beyond 12 piloted the product with 3,500 college students across the US. Following the pilot, Beyond 12 and IDEO went back to work, using the resulting insights and data to design the next evolution of MyCoach.

First and foremost, IDEO sought to develop a more flexible model for Beyond 12 to enable scalability of the offering. As some students need more support than others, a blended business model was envisioned to recognize the spectrum of students’ needs. Engaging in-app content forms a supportive layer that helps students get organized, stay on track, and learn the skills they need to stay in college, while students who need more hands-on assistance can connect directly with coaches. An invisible data layer works behind the scenes to assess student risk and dynamically tailor student support throughout the school year.

Once the app’s model was solidified, creating a user experience that compels students to use it became essential to its efficacy. Growing up with technology has reshaped how many students engage with the world, and tools like Snapchat have set a new dynamic for participation. Youth today are the masters of their own digital worlds, fluidly jumping between conversations, engaging with stimulating content and contributing their own perspectives. As a result, MyCoach needed to speak students’ language and to create content that was authentically youthful and effective in order to be effective. By drawing inspiration from popular social sites, digital experiences and games, the team designed a user experience that keeps pace with a digitally native state of mind.

IDEO Designer, Isabela Sá explains the approach that led to MyCoach’s design and content strategy, “We created an app that makes no distinction between content and utility. We borrowed the content-first approach of social apps like Snapchat and Instagram and used it to teach students the skills and strategies they need to graduate. With that, the digital experience became more human. The intricate system that we had designed to power the whole thing was hidden below the surface. For students, the app was just the means to learn how to help themselves and get in touch with a coach when they needed one.”

Development is underway for the next version of MyCoach, which will allow Beyond 12 to scale its offering to reach exponentially more students in need.

Beyond 12
Beyond 12
Helping students navigate college and beyond, Beyond 12, digital transformation, digital experience, digital product design, UX design, education innovation, student experience, future of education, how to design a digital product, innovation, strategy, user experience, product design, transformation, education

Redesigning how Coca-Cola works, plays, and profits

Designing for Coca-Cola’s 2020 vision strategy.

Read more
Case study
Case Studies
Strategic Futures
Breakthrough Products
Learning & Work
Consumer Products & Retail

Coca-Cola is one of the world's most iconic brands. More than 5,000 people work at its global headquarters in Atlanta.

Back in 2010, Coca-Cola found itself at a major crossroads. As the company grew, it became clear that in order to stay competitive, any kind of campus renovation would have to take into account a vision of the future of how people work at Coca-Cola. Before the company hired architects, they came to IDEO to help design this important part of their 2020 vision strategy; ultimately the redesign would change the way the company works, plays, and profits.

Imagery courtesy of Coca-Cola, Gensler, and IDEO

The Coca-Cola Company
The Coca-Cola Company
Redesigning how Coca-Cola works, plays, and profits, The Coca-Cola Company, education innovation, learning experience, future of work, consumer products, retail, consumer experience, retail innovation, innovation, strategy, education, learning

Designing for a sense of purpose

Four principles for creating better jobs.

Read more
Article
Articles

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.

No items found.
designing for a sense of purpose, prototyping, rapid prototyping, testing new ideas, improv, creativity, team collaboration, facilitation

When AI enters the group chat

Setting a foundation of trust in AI-enabled social experiences.

Read more
Article
Articles

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.

‍

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.

‍

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.

Technology
AI & Emerging Tech
when ai enters the group chat, technology, digital innovation, ai, emerging technology, artificial intelligence, ai strategy, game design, community engagement, social media, digital experience, storytelling

Values-led prototyping for next-Gen creative AI

Playful methods for designing emotionally-resonant AI experiences.

Read more
Article
Articles

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.

Technology
AI & Emerging Tech
values-led prototyping for next-gen creative ai, technology, digital innovation, ai, emerging technology, artificial intelligence, ai strategy, ai product design, digital product design, prototyping, rapid prototyping, testing new ideas, creativity, play, community engagement

Prototyping at the speed of AI

Methods for testing product value with Gen Z.

Read more
Article
Articles

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.

Technology
AI & Emerging Tech
prototyping at the speed of ai, technology, digital innovation, ai, emerging technology, artificial intelligence, ai strategy, prototyping, rapid prototyping, testing new ideas

Lindsey Turner

I’m passionate about building brands, products, and experiences that help organizations show up with meaning and momentum.

Read more
Leader
Leaders

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.

My tween twins teach me more about technology and gen-alpha than the last decade of trend reports.
Making things that matter
Consumer Products & Retail
Media & Entertainment
AI & Emerging Tech

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

Read more
Leader
Leaders
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.

‍

The greatest project to which I’ve ever contributed is raising my two daughters with my husband.
Uncovering unmet needs
Consumer Products & Retail
Learning & Work
Media & Entertainment
Play
Public Sector

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.

Read more
Leader
Leaders

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 love a good crit.
An inclusive, hands-on approach
Health
Learning & Work
Media & Entertainment
Public Sector
AI & Emerging Tech

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.

Read more
Leader
Leaders

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.

I have a thing for antique maps.
Developing China-led innovation and capabilities'
Consumer Products & Retail
Food
Learning & Work
Industrial & Manufacturing
Episode image

How to use AI as an editor, not a writer

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

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.

‍

‍

Listen
Podcast
Podcasts

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.

AI & Emerging Tech
Media & Entertainment
Technology
Episode image

Building a personal AI for the messiness of life: Sida Li

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

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.

Listen
Podcast
Podcasts

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.

Health
AI & Emerging Tech
Technology
Learning & Work
Episode image

Designing GenAI for the emotional side of money: Johannes Seemann

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

Designing financial tools around the feelings that shape money decisions.

Listen
Podcast
Podcasts

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.

Health
AI & Emerging Tech
Technology
Financial Services
Learning & Work
Episode image

The curious leader's edge in uncertainty: Scott Shigeoka

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

How genuine curiosity helps leaders navigate uncertainty with greater confidence.

Listen
Podcast
Podcasts

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.

Learning & Work
Nothing’s coming to mind.

Looks like you might be in search of something very specific?

Feel free to drop us a note and we’ll happily help you find what you’re looking for.

Or reset the filters above and try another angle.

If you’d rather just chat than scroll through our site, we’d love to hear from you.

Feel free to include any details or anecdotes about what brought you here today, it will help make sure we get you connected to the best person right away.
Load more