

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


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.


How to Make Hard Feedback Pay Off
It's not easy to have your work ripped apart, but it's essential to the creative process. Here's how to make it less hard.
Feedback is a tricky thing. There’s always going to be differing opinions of right and wrong, and even if it’s explained to you in a calm, clear voice, it can sting like nothing else. But getting feedback on your work is the only way you'll grow. It forces you to rationalize your thinking and creative decision-making, and teaches you to swallow your pride.
I learned the hard way: A few years ago, I designed my first typeface called Emotiv. It was a concept for a messaging app that would help people express their emotions through language (instead of emojis).
Eager to get my work out there, I decided to send a sample to a very well-respected typographer whose work I greatly admired. Given this individual’s reputation (and my lack of experience) I was reluctant to share at first, but with encouragement from friends, I sent it along with an explanation of how it came to be, not really expecting a response.

A few days passed, and much to my surprise, an incredibly lengthy reply fell into my inbox and hit me like a ton of bricks. It was the toughest feedback I’d ever received. Alignment issues, inconsistencies, readability problems, the email went on and on. It felt like my career was ending before it even had a chance to begin. We designers consider our creations extensions of ourselves—meaning that we take the pain of feedback personally.
While I can't offer up permanent thick skin, I have come up with 4 mindset shifts that will help you get—and give—negative feedback in a constructive way:

1. Introduce constraints
The least helpful feedback goes something like, “Hmmm, I’m not sure I like this.” We all have personal tastes, but there is no build-off point from that—no way to develop and improve. Instead, ask the person giving you feedback to be constructive, give their rationale, and ask as many questions as they’d like, rather than give you a gut reaction.
2. Tag team
Rather than putting yourself on the receiving end, get involved in the process. Imagine that the work being critiqued isn’t yours and offer your own thoughts. That will help you stay focused on the work itself. Plus, by making the feedback process more of a collaborative effort, you can understand the work from new angles to make it better together.

3. Be Spock
Do your best to take your emotions out of the equation. Instead of hanging on every negative word, look for unbiased points that will help you better define and execute the work. Even if the person giving you feedback is using words like “I like...”, or “I don’t like…”, those words aren’t aimed at you—they’re aimed at uncovering the fundamental thinking or execution behind the work.
4. Don’t ask for the answer
When the feedback process unearths a problem with your work, it’s tempting to simply ask for a clear solution to the problem. But that won’t push you to go further and explore other possibilities. Solving the problem yourself gives you another opportunity to learn and grow your skills.
Looking back, I now see now that the typographer who crushed me was actually providing a great service. (Honestly, you could tell someone they are terrible at something in considerably fewer words.)
I’d made the same mistake my fellow design student had made in that first class—I reacted as if it was a personal attack on me as a designer. But that feedback prodded me to become much more critical about my own work, studying details that others might not notice, with an eye toward readability and alignment.
Getting negative feedback can hurt. You pour your time and effort into creating something, and with the swiftest of comments, it gets cut down. But receiving it not only makes your work better, it makes you better... especially at giving feedback.
Nothing prepares you for the reality of receiving negative feedback. In one of my first design classes, I watched in horror as a fellow student had his work ripped in two for the first time in front of all of us. Shortly afterwards, he quit the course.


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.
Building a personal AI for the messiness of life: Sida Li
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
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
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.
How constraints make us more creative: David Epstein
Mina Seetharaman talks with David Epstein, author of Inside the Box and Range, about why total freedom often produces average work, how leaders can design useful limits on purpose, and what organizations such as General Magic and Pixar reveal about the relationship between boundaries and creativity.
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