

Transforming sick days with play
Playhouse MD brings comfort, connection, and a little joy to pediatric care.
Fevers. Boogers. Yucky meds. IDEO Play Lab designers dove deeply into the challenges of sick days and doctors’ appointments through video diaries, online surveys, and in-person interviews with parents, healthcare providers, and small children in homes and pediatric offices across the US. They heard about the struggles of giving medicines, wonky thermometer readings, kids having “stethoscope scaries,” and, worst of all, what happens when kiddos hear the “s-word”—shot.

The research confirmed Sydney and Kaitlin’s initial hunches about playful healthcare products and provided the team with insights on how to move forward. The answer was a formula of sorts. To help reduce kids’ anxiety and keep them calm at the doctor, give them a choice in their care whenever possible. Build familiarity with doctor’s visits and medical devices through playful moments at home. Redirect their attention away from fear. Design for multisensory richness. And provide age-appropriate narratives about healthcare experiences.

Inspired by this kid-centric formula, the IDEO Play Lab team worked closely with Sydney, Kaitlin, and their co-founder, Michael Kamins, to iterate on several designs, winnowing down more than 150 brainstorm ideas into a dozen tangible prototypes (or tinker models) that were shown to doctors, nurses, parents, and young kids for feedback. The designs—a rocket ship medicine dispenser, an elephant-shaped nose aspirator, and a narwhal nasal bulb, among others—were intended to evoke a sense of playfulness, comfort, and familiarity, with features designed for maximum cuteness. Some even lit up and played sounds, like popular toys.

While the designs passed the fun test with kids, they also needed to be functional for parents, trusted by doctors, easily manufactured, and affordable. Eventually, they would need to be approved by the FDA as regulated medical devices. Playhouse MD also requested patentable innovations to help protect their products from imitation.

With these constraints in mind, IDEO Play Lab delivered a collection of nine unique, high-fidelity prototypes that add a dose of fun to caretaking challenges in homes and doctors’ offices. The final designs were durable, medically sanitizable, and safe for testing with real kids, which helped the startup secure multiple rounds of funding and bring its first products to market in 18 months.

Playhouse MD began selling its first four direct-to-consumer products on its website in June 2025: two Medicine Buddies (medicine dispensers shaped like a rocket ship and a butterfly) and two Booger Buddies (a light-up nasal aspirator elephant called Luna and a light-up nasal bulb narwhal named Noa, which was named one of The Best Inventions of 2025 by TIME). The products are available at Target and Babylist stores, and on Amazon through leading medical distributor McKesson Medical-Surgical.

Most companies design child healthcare devices with parents’ or doctors’ tastes in mind; none, however, focus on what will make kids smile, too.
TIME Best Inventions of 2025
in the Parenting Category, Playhouse MD's Light-Up Nasal Bulb
1 ½ years
from initial brainstorms to in-market launch of 4 kid-centric medical products


Designing a next-gen airway visualization system
Improving patient outcomes with the GlideScope ClearFit Video Laryngoscope.
Verathon offers one of the broadest portfolios of video laryngoscopes on the market. While these life-saving devices increase the likelihood of successful first-time intubations, reducing trauma and speeding recovery times, they are more costly and can be more challenging to learn how to use than traditional mechanical ones, which rely on directly looking at the vocal cords. Wanting to make it easier for cost-conscious hospital administrators to transition from traditional laryngoscopes to Verathon’s video systems, the medical device manufacturer asked IDEO to technically and visually unite its next-gen reusable baton and stats, ensuring they worked together seamlessly, flexibly, and intuitively during the most routine and demanding healthcare moments.

The IDEO and Verathon teams used a prototype-led approach to safely gain feedback from anesthesiologists and emergency physicians. Research participants were given various intubation models to simulate surgical use cases and understand ergonomic trade-offs between different design directions. Insights from the field led to design principles such as prioritizing device balance over weight reduction, providing flexibility to accommodate a variety of gripping positions, making connection points between various parts clear, intuitive, and secure, and ensuring the device was easy to clean.

Inspired by physician feedback, the team designed an innovative video baton that felt both familiar and new, supported the ergonomics of diverse holding styles, and fit Verathon’s wide range of stat sizes (one of its competitive advantages). To prevent accidental disconnections, users receive clear tactile, visual, and sound feedback when the monitor and cover are correctly attached to the baton. IDEO chose color, materials, and finishes to help clinicians quickly distinguish between parts of the system and easily identify reusable components from single-use ones.

Verathon’s new GlideScope ClearFit stats-based video laryngoscope hit the market in August 2025. Combining one reusable baton with an industry-leading selection of six single-use stats, it’s compatible with both the GlideScope® Go™ 2 handheld and GlideScope® Core™ cart-based systems. Magnetic QuickConnect™ technology allows doctors to seamlessly switch between platforms, giving hospitals a standardized airway management solution that simplifies workflows, streamlines inventory, enhances medical education and training, and promotes cost-effective care.
Verathon invented video laryngoscopy technology. Twenty years later, the COVID-19 pandemic spurred more competitors to enter the market.
Cutting-edge technologies like video laryngoscopes are critical—and costly—devices. Hospital systems want to invest in the most comprehensive, flexible, adaptable, and affordable tools for quality patient care
6 shapes and sizes
of single-use covers fit one video baton, enabling health workers to quickly access different throat anatomies


Improving STEM education in the Philippines
GBF Class Builder supports teachers to advance learning for students.
Since its founding in 1992 by the Gokongwei family, which also operates one of the nation’s largest conglomerates, JG Summit Holdings, GBF has supported Philippine education through student scholarships, teacher training funds, and donations to top universities. Over its 30-plus-year history, GBF has reached more than 200,000 teachers and impacted over 1.5 million learners nationwide. When the foundation approached IDEO in 2021, it wanted to move the needle on STEM education in the country’s struggling public schools.

The IDEO and GBF teams interviewed more than 100 subject-matter experts across various government agencies, leading technology companies, and top national universities and educational institutions to build a comprehensive understanding of the current state of STEM in the Philippines. To experience classroom struggles firsthand, the team also shadowed STEM educators and principals. The research revealed that time-strapped teachers needed help mastering overall STEM content, preparing for their classes, and selecting the most suitable activities for their students. They also didn’t always feel supported in their own career development journeys. But the burden of daily responsibilities didn’t leave them any time for outside learning opportunities, either.

Recognizing that empowering teachers empowers students, the team created an innovative lesson prep tool, the GBF Class Builder, that's based on these insights. Using existing technology and course materials designed to align with school curricula, IDEO developed a working prototype of the Class Builder in under a week, with minimal investment. The team then systematically improved it over several “build-test-iterate” feedback cycles in real classrooms over the course of four months.

The final GBF Class Builder is a targeted program that helps STEM teachers deliver compelling lessons for their students, learn new teaching strategies, and build content mastery along the way. In addition to helping design the Class Builder, IDEO continues to advise GBF on key aspects of the program's piloting and rollout. This includes advising on how to implement the content development, think through the curriculum development process, support in designing feature iterations, define metrics for success, and decide which additional roles GBF will need to support the ambitious program going forward.

The foundation launched the GBF Class Builder at its 30th-anniversary celebration in 2023. Feedback from pilot 3,500 public schools and 15,000 teachers has been overwhelmingly positive. “Through the GBF Class Builder, we envision our teachers to be more confident and effective in class, more ready to face the challenges of the future, while enjoying every class—feeling proud to be a teacher, " says Grace Colet, Executive Director of GBF.
The ambitious program continues to scale and is on track to be rolled out in public schools nationwide by 2029.
90% of 10-year-olds in the Philippines can’t read a simple text, according to a Southeast Asia Primary Learning Metrics report. Eighty-three percent of Filipino 10-year-olds lack minimum proficiency in math.
More than 15,000 teachers in 3,500 public schools
are now using the innovative GBF Class Builder program
94%
of teachers report the GBF Class Builder has improved student engagement, while 89% say it saves them 1-2 hours in prep time per lesson


Making headroom in a new product category
Renowned cycling brand Fizik expands its offerings with a line of helmets.
Fizik came to IDEO with the aim of entering the helmet market with a range of high-end performance options fit for road racing, mountain biking, time trials/triathlons, and everyday cycling. Fizik planned to use its world-class production and engineering capabilities (the company is part of the Selle Royal Group, which has over 1,400 employees and manages five other cycling brands, including Crankbrothers and Brooks England). IDEO’s task was to develop an on-brand design language that would unify its new helmet line and integrate seamlessly with the sleek, modern aesthetics of the company’s other products.

The design sprint began with in-context interviews with avid and professional cyclists to learn what they wanted—and didn’t—in a helmet. Unlike other accessories, such as shoes or shorts, riders viewed helmets as a necessity rather than an exciting or aspirational purchase. They also wanted a helmet that complemented their overall style, rather than standing out, and had a flattering silhouette. Avoiding making a cyclist look like a “mushroom” was key.

Different cycling styles involve varying riding postures, ranging from a dropped and horizontal position (time trial/triathlete) to an upright and vertical position (mountain biking). IDEO proposed a family of helmet designs that correspond accordingly. On the horizontal extreme, the time trial/triathlete helmet has the most fluid, organic, aerodynamic shape. A statement of refined simplicity and speed, it features minimal venting and a magnetic wrap-around visor to reduce drag that can be exchanged for the rider’s own cycling glasses.

On the vertical extreme, the mountain biking helmet features a more rugged, angular form with an adjustable brim, rectangular venting, and boxier, back-of-the-head protection. It also offers affordances for goggles, sunglass storage, a GoPro mount, and an optional integrated rear light.

In between, a compact helmet for road racing features evolutionary variations on these design extremes, with more venting as well as a front glasses holder and integrated rear light. All four helmets strike a balance between lightness, comfort, safety, and performance, embodying Fizik’s signature modern style.

In April 2025, Fizik launched all four helmet models simultaneously: Kassis (mountain biking), Kunee (trial/triathlon), Kudo, and the more aerodynamic Kudo Aero for road and gravel. The helmets were greeted with critical acclaim from the cycling world, while Virginia Tech’s independent helmet-safety research lab gave them five-star performance ratings for their strength and durability.
Legendary cycling company Fizik was known for its high-performance bike seats and shoes, but wanted to be a fierce entrant in a challenging product category—helmets.
4
new helmet designs
1
new product category


To Design a Better Future, Embrace the Uncomfortable
5 prototypes that help us envision the tools & technologies of the future
While we designed a new family of acoustic amps for Fender, we squeezed into an Airstream for two months to better understand the touring musician lifestyle. And when we wanted to better understand the environmental impact of the things we design, we visited a sewage treatment plant to see what happens when a product can't be recycled.
We go after big problems that have never been solved. And by going all in on the unfamiliar and uncomfortable, we’ve come up with creative solutions that we might not have imagined before.
As an industrial designer, I’m a builder. I experience the world with all my senses and apply my tangible building skills to make experiences and systems. Technology inspires me because it's always been an important vehicle to advance our current state. With technology racing forward at an ever increasing pace, some advancements can impact us on an unprecedented scale. As shapers of the future, we must strive to understand the consequences and implications of emerging technology. We do this by asking ourselves uncomfortable questions about possible outcomes during the design process in areas like healthcare, the future of work, and the circular economy.
In order to better understand how emerging technologies could affect our day-to-day life, my colleagues from multiple design disciplines—industrial design, data science, communications, interaction design—and I embarked on an internal IDEO project that could give us some clues. We got curious and asked ourselves, How might the way we’re communicating with each other change with new technology? How might we collaborate together in the future when we can show up in different realities? What could be possible if the digital and physical world blend seamlessly into each other? How will we protect our privacy if we can teach devices our most personal preferences, and what will happen to our data?
We named our project The Discomfort Zone.
In order to explore these uncomfortable, out-there questions, we had to experience them ourselves, and to experience the future we had to build it. Here are the tools that we built:
Personalized Intelligence: by building a camera that can be taught to take the best self portraits based on individualized feedback, we experienced the idea of actively teaching machines our preferences. The user trains it on their ideal lighting, placement, composition, head tilt, and facial expressions. While it may seem like a trivial thing to create, teaching machines to see us how we see ourselves can show us the path to building other devices—like health devices—that the user can teach to adapt to user preferences and feedback.
Complementary Media: a device that can be taught to recognize facial expressions and emotions, then generates an appropriate, customized emotional expression for each user—like a personalized emoji—helped us imagine more depth and expressiveness online using artificial intelligence. This tool can communicate real human emotion, which could lead to improved communication among children, for example.
Shared Realities: a tool, bridging the physical and virtual, that allows workers operating in VR to sense the presence and movements of colleagues around them as if they are on the same plane. An exploration of how virtual and augmented technology might improve collaboration, it allows people to respond to virtual coworkers’ cues without fully disrupting work in the virtual environment.
Network Empathy: code that enables a user to anticipate how large social or interconnected user networks will react to messages before they are posted, bringing deeper understanding and empathy to online communication. With cues from large online networks, smart technology becomes even smarter and empathetic interaction online becomes easier—especially when it is applied to high-profile communications, or at mass scale among networks that might be discussing politics, health, or education.
Meta Identity: code that is invisible to naked eye can be embedded in an object to make it readable by a machine—not unlike a barcode—and give it meaning online. Branding and production methods might evolve toward this physical tagging method, so that users easily learn about physical objects they see, and find them online. Making the physical as searchable as the Internet could further empower consumers to align their purchase decisions with their beliefs and values.
As designers, it is our responsibility to explore the discomfort zone, design holistically, and consider the full range of possibilities of what we create. For example, as much as Network Empathy was intended to be an inclusive tool, it could also be used to manipulate public opinion by predicting the reaction of large audiences. If we use Personalized Intelligence to teach our devices our most personal preferences, what becomes of this new personal data? And who is the owner of this information: the device, the platform, or the individual?
Because technology will serve us on an even more personal level, the stakes are high. Designers are uniquely stationed to be the connectors in an ever more complex ecosystem of stakeholders, and we must ensure the tool leaves the lab and enters an ecosystem with safeguards in place to have a positive impact.
We’re at the dawn of something big and unknown. New technologies are shaping the future in ways we haven’t even thought of yet. Some of them will have extraordinary benefits, while others, through unforeseen capabilities or even sinister intentions, may have unwanted consequences. But as designers, it’s up to us to explore them early, dive into the unfamiliar, and do what we can to shape the future for the better. We’d love for you to join us here in The Discomfort Zone.
The Discomfort Zone was a collaboration among many designers at IDEO. Special thanks to all involved, including the core design team: Leo Marzolf, Jochen Weber, Brooke Thyng, Christian Ramsey, and Nan Tsai.
So much of being a designer is being willing to embrace the uncomfortable. We create new products, experiences and systems for people whose needs are different than ours—sometimes really different.


An Artist’s Love Affair with Cute Patterns
Austin Salmi makes a habit of frequenting tiki bars and drawing clean patterns

In one sentence, who are you?
I am an illustrator who enjoys bringing any amount of joy to people through my creations.
What do you do? How did you learn how to do it?
I create different drawings using pencil and ink. The illustrations range from patterns to caricatures, unique creatures, and other one-off ideas. I grew up sketching and doodling and it has continued. When I moved to LA, I was suddenly surrounded by an amazing cadre of artists and creators who constantly inspire me, as well as push me to keep improving myself. That is how I learned my craft and continue to learn, because I believe you never truly finish learning.

What are your 3 favorite possessions?
Miniature Back to the Future 2 hover board; Magnum P.I. Tiki Mug; a drawing of my fiancé and me, which she drew. Not in that order.
What does a typical work session look like?
I have a running list of ideas and sketches that I pull from if I don't have an art show with a specific topic that I am working towards. Usually, I'll do some Google searches on the topic at hand and pull a bunch of reference photos for perusal during the pencil drawing stage. I sketch out the drawing inside a pre-drawn area, such as 4x6 or 5x7. Art that is easy to frame is always a goal of mine, because I love framed art and it drives me mad when I see things tacked onto a wall or cork board. After finalizing the pencil drawing, I'll usually step away for a moment or two to play a video game or watch a show. I like to do something that differentiates the time between stages. Once I come back to the drawing, I pull out all the different micron pens that I think I will use for the piece. I check the nibs, and then I begin inking. I put on dramas in the background to listen to, or things I've seen a ridiculous number of times. West Wing and Parks and Recreation are two such shows.
I don't like to start inking unless I am going to finish a drawing that night. Sometimes, a piece is too large, and I have to break it up over two nights. If that happens, I make sure the pens I've used on the previous night are away from all my other pens. I do this to achieve a consistency within the lines. Once finished, I scan the piece, put it within a predetermined frame, and pack it up for a craft fair or deliver it if it's for an art show. Rinse and repeat as necessary.

How do you get over creative block?
I used to stop drawing and just stew for a bit until it finally passed, which could take a bit of time. As I've gotten older, and ever so slightly more confident in my abilities, I push through it. I just keep drawing. Yes, sometimes the drawings are awful, but as Lauren (my future wife) always says, "sometimes you just have to pass a rat."
How do you see the world in 2078?
A lazy utopia, filled with autonomous everything. Humanity will have moved past Earth and outward into the stars while robots cater to our every whim and we become fat and happy. I could be confusing my vision of the world in 2078 with the timeline in Wall-E—who doesn't yearn for the saccharine dreams of Pixar in 2017. It is tough to image the future right now because at this moment it feels as though we are hanging by a loose wire, and any minute now someone with a spray tan is going to cut the wire and tell us all how huge his ratings are, as we all fall to our collective doom. I hope we make it to 2078, if only so that I can enjoy my hover chair and 128-ounce Slurpee.

What’s number one on your bucket list?
I should say something epic like bungee jumping off of Thomas Jefferson's nose on Mount Rushmore, but honestly, I'd like to have my own artist's studio. Some place I could retreat to and tune out the world and draw silly pictures. That to me is something I want to do before I fade out of this existence.
Who are you creative crushin’ on lately?
I've had a one-sided love affair with Dustin Harbin for a long time. I own two of his original pieces and his diary comics book. The man can use an ink nib like Aaron Sorkin can turn a phrase.

I’ve been creative crushing on Austin Salmi since I saw his doodles, patterns, and adorable characters on Instagram almost two years ago. Austin’s work, learned through practice and osmosis in his job surrounded by artists, has a giggly character about it that fits his intention to hide the ugliness of the world for a moment, and make lovely order out of chaos. I got to learn a bit more about him and his process in this installment of Creative Crushes.


AI Needs an Ethical Compass. This Tool Can Help.
A new, downloadable set of cards for designing with data
We had just begun work on a project exploring how we might help a medical-liability insurance company increase patient safety by learning from past incidents. As we talked, our conversation shifted away from excitedly imagining ideas for data-driven tools toward ways our work might potentially do harm.
What if our designs ended up raising premiums for doctors and, in turn, healthcare costs for patients? What if they kicked doctors off their insurance? What if doctors stopped reporting adverse events to keep their premiums from rising? There was real potential that our work could result in reduced patient safety or increased cost of care. We could inadvertently build a tool that could be used against the very people we were trying to help.
Today, data systems and algorithms can be deployed at unprecedented scale and speed—and unintended consequences will affect people with that same scale and speed. How can we always make sure we’re putting people first when designing large scale systems? Especially when those systems will change over time and evolve without direct human supervision?

The seed planted during that bar conversation has grown into a set of principles, activities, and now a set of cards that our teams—both data scientists and designers across every other discipline—use to ensure we’re intentionally designing intelligent systems in service of people.
We’re far from the first people to ponder this. We’ve been inspired by organizations like AI Now and Data + Society, books like Weapons of Math Destruction and Technically Wrong, academic communities like FATML and CXI. In particular, we’ve been eagerly following O’Reilly’s series on data ethics (and encourage you to read their free ebook, Ethics and Data Science).
To develop our own set of guiding principles, we started with people. We talked to folks all across the globe: We interviewed IDEO teams about where they found challenges. We spoke to our clients about where they saw intelligent systems go awry. We spoke to the public about where smart designs seemed to cross lines. We observed and read about AI systems that had gone off the rails and worked to understand how this might have been avoided. We learned a lot.

We came up with an original design, iterated on them, and landed on a set of four design principles and ten activities that can help guide an ethically responsible, culturally considerate, and humanistic approach to designing with data. These activities are meant to provoke thought; they’re a vehicle for introducing new ideas and stimulating conversations around ethics throughout the design process.
To start, here are our principles:
1. Data is not truth
Data is human-driven. Humans create, generate, collect, capture, and extend data. The results are often incomplete, and the process of analyzing them can be messy. Data can be biased through what is included or excluded, how it is interpreted, and how it is presented. Unpacking the human influence on data is essential to understanding how it can best serve our needs.
2. Don’t presume the desirability of AI
Just because AI can do something doesn’t mean that it should. When AI is incorporated into a design, designers should continually pay attention to whether people’s needs are changing, or an AI’s behavior is changing.
3. Respect privacy and the collective good
While there are policies and laws that shape the governance, collection, and use of data, we must hold ourselves to a higher standard than “will we get sued?” Consider design, governance of data use for new purposes, and communication of how people’s data will be used.
4. Unintended consequences of AI are opportunities for design
Just as with any design endeavor, we know that we’re not going to get it right the first time. Use unanticipated consequences and new unknowns as starting points for iteration.

To get started with the activities, you can download the cards here. We hope that these activities provoke dialogue and provide concrete tools to help our community ethically design intelligent systems.
Thank you to the larger team who helped make these cards come to life—Ben Healy, Jane Fulton Suri, Jess Freaner, Mike Stringer, Justin Massa, Connie Oh, and KP Gupta, who designed them.
A design researcher, a business designer, and a data scientist were sitting at a bar. It sounds like the setup of a joke, but the conversation was actually quite serious.


No Beards Allowed: Exploring Bias in Facial Recognition AI
How a creative code experiment helped people understand the pros and cons of artificial intelligence
As a user experience and interaction designer with a hybrid art and tech background, I’ve long been a fan of the concept of using art and design as a Trojan horse to make tricky concepts accessible. Through intrigue, curiosity, and play, these experiences can bypass our biases and open the door to understanding, without requiring deep comprehension. If you’ve ever visited a children’s science museum and watched kids excitedly engaging with subjects that would bore them to tears in book form, then you’ve seen the power of experience and play at work.

Meet ERNEST
That’s why my colleagues and I created ERNEST, an installation that gives the viewer the job of training a rudimentary artificial intelligence. Using facial and emotional recognition tech, ERNEST shows the user imagery and tries to see how happy it makes them. Our goal for this project was to engage users in a game-like experience to help them understand how machine learning models are trained, and subtly hint at the areas where bias could creep in.
Fellow IDEOer Matt Visco and I wanted to make sure ERNEST didn’t look like a modern computer—we designed it to look vintage. With its old hardware and nostalgic graphics, ERNEST doesn’t feel smart on the surface. Its look is meant to evoke a time when computers carried the promise of a utopian future, prior to mass connectivity and the ubiquitous collection of personal data.
The full installation uses five monitors, two computers, and three Raspberry Pis, which power several video loops that reveal the training data behind ERNEST, and give passersby a sense of the experience even if they don’t engage directly with it.
How it Works
ERNEST uses computer vision to perceive the user ambiently through facial recognition, allowing it to detect when a user is looking at it and how far away they are. When a user gets close enough, ERNEST comes alive and asks the user to help it learn. It then shows the viewer images intended to make the user happy, and gauges their emotional reaction based on their facial expression using a pre-trained model. The facial tracking and emotional data is displayed to the viewer in real time, encouraging users to make faces at ERNEST. Viewers can then validate the accuracy of the model to help ERNEST know if it was correct or not.
(Sound complicated? The video below might make it clearer.)
We installed ERNEST in IDEO San Francisco’s lobby for a couple of months, and also brought it to the San Francisco Art Institute Fort Mason Gallery for the CODAME Intersections exhibition in November 2018.
The Results
Many participants loved to challenge ERNEST, often emoting in varying ways through numerous loops of the game. Once, a group of participants spent nearly 20 minutes playing with ERNEST, takings turns to compare how it perceived each person.

When viewers interact and play with ERNEST, we’re helping them see that machines can have almost human-like perception, reacting differently to different faces, and sometimes being uncannily accurate...or completely wrong. The wrong guesses were in many cases more interesting, and were in fact a very intentional part of the design. We wanted users to see that artificial intelligence is sometimes not as intelligent as we might think.
ERNEST is meant to be a game, but what happens when real-world AI makes the wrong guesses? Or what if those wrong guesses are uneven, indicating an unintentional bias, such as working well for some faces but not others?

We wanted people to realize that designing systems that can ambiently perceive humans without direct input is rife with ethical concerns. And already, systems like these are being deployed at scale. The Guardian predicts emotionally-aware tech is already a $20B industry. Even something seemingly benign like ERNEST causes us to wonder—if an AI is trying to make the viewer happy, who determines what “happy” is? What if bad actors train Ernest to think that disturbing content is “happy?” What if the technology is repurposed to provoke anxiety or anger? What happens if we deploy technology like ERNEST widely?
Of course, ERNEST only scratches the surface of these big ethical questions, but we hope that it helps give people insight into how artificial intelligence thinks, and the ways its thinking can be flawed. The more that we as a society can start to understand these systems, the better we can judge their quality, and work to design them to be in line with our shared human values.
Artificial intelligence and machine learning are among the hottest topics of the tech world, but some of us at the frontier forget that many people feel intimidated—or even afraid of—these technologies. The pop-culture trope of machine intelligence gone rogue has been a part of our cultural psyche for a good 150 years. Think 2001: A Space Odyssey’s HAL 9000, The Terminator’s Skynet, and The Matrix’s... Matrix. Combine that fear with arcane tech-speak like “recurrent neural network” and “generative adversarial network,” and in addition to feeling emotionally intimidating, AI and ML can also feel incomprehensible.


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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