Before Eat Real can advocate for better school meals,  it has to connect with school leaders—and donors. As the organization expanded its work beyond school certification, it needed an updated soup-to-nuts branding redesign that represents its purpose.

To get started on the five-week sprint, the IDEO team conducted a brand audit and interviews with Eat Real staff, board members, and donors. The team learned that Eat Real’s brand messaging and voice showed up inconsistently, and that board members wanted greater clarity around communication to prospective donors. Several people expressed a desire to change the original logo centered on a fork to a more culturally-inclusive symbol, and for the logo to be separated from the Eat Real Certified stamp, since the organization had evolved to do much more than just certification.

The IDEO team worked in close collaboration with Eat Real to deliver comprehensive brand guidelines, including Eat Real’s brand purpose and core values, positioning and personality, logo and wordmark, visual expression, verbal expression, and brand showcase. The brand’s new tagline, Nourish the Future, speaks directly to how real food access unleashes the possibility for a healthier society and a healthier planet. A new mark combines three elements that signify much more: a welcoming bowl (joy and ritual), the serving spoon (generosity and nourishment), and a sprouting leaf (a future where children and the planet flourish). The team also landed on an unapologetically vibrant color palette, to bring surprise and energy to the brand. From this foundation, Eat Real created a new website, completed a photo shoot with IDEO's art direction, and launched the brand with new messaging and collateral within a year. Now, Eat Real has the tools it needs to scale its operations and affect real change.

To scale its program and be at the center of sustainable food systems change, Eat Real needed branding and messaging to reach a new set of philanthropists.

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Almost 30 million US kids depend on public school lunches for more than 50% of their daily calories. These meals are frequently made up of ultra-processed, unsustainable foods that contribute to type 2 diabetes and obesity.  

2023 funding goals reached

with its new branding, beating its end-of-year fundraising goals, and putting the nonprofit on track to serve more schools in 2024

129M

meals served to 360,000 students every year at schools that have gone through the certification program

Most end-of-high-school experiences, like the Chinese gaokao exam, the global IB Extended Essay, or the US-based AP Capstone program, are focused on testing and academic, classroom-based activities. Yungu School, a private K–12 school in Hangzhou, China, founded in 2017 by Jack Ma of Alibaba and funded by Alibaba partners, wanted to take a different approach.  Yungu’s vision: combine the renowned Chinese National Curriculum with an international, competency-based learning mindset.

Designing a new capstone course that brought together the perspectives of Yungu School’s many stakeholders was a complex challenge. The solution? IDEO formed a “co-creation council” composed of eight Yungu School middle- and high-school educators who held different positions within the school, spanned tenures, and came from diverse educational and cultural backgrounds, including Chinese, European, and American. Bringing together educators from a range of backgrounds and points of view fostered alignment and sparked new ideas. In addition to the council, IDEO and Yungu educators gathered additional input from students and parents and crafted the objectives, design principles, and blueprint for the change-making 18-month capstone program.

The collaboration resulted in a tailored, insight-driven capstone course that progressively builds learners’ confidence and agency via five modules: “Get Inspired,” “Find Yourself,” “Dive Deep,” “Go Big,” and “Give Back.” The learning cycles, which range from one week to half a year in length, teach students how to move from ideas to impact in topic areas they are passionate about and which have a bearing on pressing issues like climate change, digital privacy, and reducing food waste, among other global challenges. The goal of this iterative approach is twofold. Equip students for “global citizenship” by identifying personal ways to make a positive impact. And foster “entrepreneurship” by learning to be critical, creative, and optimistic systems thinkers who embrace a growth mindset.  

To ensure a solid foundation for the new course, IDEO also created a week-long design-thinking training program for Yungu’s teachers. The professional development experience boosted their creative problem-solving and taught them how to move from being “expert instructors of curricula” to “encouraging guides” of capstone students who would need to demonstrate their proficiency through a final product, presentation, or performance rather than a final exam. The collaboration concluded with an immersive exhibition that allowed all stakeholders—educators, students, and parents—to experience the content modules and transformative course for themselves.   Since launching its capstone program in 2022, Yungu High School has added lectures from social entrepreneurs and workshops that teach communication skills to the innovative course, garnering awards from media outlets like Fast Company. Most importantly, the signature program has enabled The Yungu School to embody its noble and audacious mission—empowering students to become future innovators for social good.

Today’s high-school seniors learn how to memorize academic content and pass tests but aren’t prepared to make a real-world impact after graduation.

196 college offers

and $1.442 million in scholarships received by over 40 graduates from Yungu High School’s class of 2023

2023 Finalist

Fast Company Innovation by Design Awards, Learning category

Design thinking was embedded in the creation of Omada Health from the earliest phases, and Omada has taken that forward as a strategy for success.

Over the past decade, the digital health company has grown from a couple of early career IDEOers testing concepts at the very frontier of digital health, to a company with nearly 2000 employers on its customer roster and more than one million users of its healthcare products.

Omada’s origin story began at IDEO in 2011, when its now CEO, Sean Duffy, an MD/MBA student at Harvard, joined IDEO as an intern, after a partner found his resume on the copy room floor. What was supposed to be a summer internship led to an exploration of the potential impact of digital tools on chronic health problems. IDEO partner Dennis Boyle gave Duffy and his co-founder and fellow IDEOer, Adrian James, the time and funding to do human factors research, meeting with people with prediabetes and metabolic disease in their homes to learn more about the care they were getting. What they heard was that no product or service was meeting the realities of their daily lives.

Five months after he landed his internship, and with the company’s blessing, Duffy and James spun Omada Health out of IDEO. Together, they raised a seed round, and continued to lean on design thinking methods, prototyping early versions of their product, then testing it with real patients. Duffy himself even served as the company’s first health coach. By sticking with the mindsets they had learned at IDEO, they avoided the pitfall of falling in love with the popular approaches to digital health of the era—like detailed food tracking or bluetooth enabled pill bottle tops. Instead, they stayed focused on creating what patients were asking for: a digital product that provided support, accountability, and evidence-based solutions. 

Today, Omada Health is a virtual-first, integrated care solution that provides patients with clinical care plans using digital tools and one-on-one, personalized coaching. It helps users manage chronic conditions including pre-diabetes, diabetes, hypertension, joint and muscle health, and behavioral health. More than a decade after its founding, it counts nearly 2000 employers as customers, has more than one million users of its products, and has published 24 peer-reviewed studies on its outcomes. Not to mention a $1.3 billion IPO in June of 2025. But it’s still going after its North Star: to bend the curve on preventable chronic diseases nationwide.

About 60% of adults in the US live with a chronic disease. According to the CDC, 90% of the nation’s $4.1 trillion annual healthcare expenditures are for people with chronic and mental health conditions.
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Diabetes is the country’s seventh leading cause of death—and the most expensive. Diabetes accounts for $1 out of every $4 in US healthcare costs. In addition to the cost of care, diabetes costs employers $90 billion annually in lost productivity.

Nearly 2,000

employers now partner with Omada

1 in 10

commercially-insured Americans have access to Omada through their health plan or employer coverage

$1.3 billion

valuation at Omada's IPO

Finding the right beauty product online isn’t easy, as shoppers are deluged with choices.

On top of information overload, our research unearthed varying emotional and functional needs when exploring beauty products. When looking for makeup, for example, shoppers are interested in self-expression and open to exploration. But when buying skincare products to fix an acne problem, say, people feel a bit more vulnerable. That insight led to rethinking the retail environment as a space that offers both free range exploration and trial spaces along with engagements that address the individualized needs of customers at different life stages.

Acknowledging that entering a new phase of life can make people feel insecure about their looks, we asked research participants, What does “beauty power” mean to you? Responses suggested a lack of trust in unbiased voices online about how to look and feel powerful. Digital shoppers are continuously bombarded by ads and influencers who are incentivized to push brands who hire them. Shoppers love Sephora for being a neutral space that showcases multiple brands, so we leaned into that strength, designing displays that offer product reviews and details that enable consumers to make informed decisions.

Those displays started as prototypes in a Sephora concept store that filled an entire floor of IDEO’s Shanghai office. In our bright, modern space, consumers of all demographics explored a self-led experience designed to delight. A “Play Table” allowed visitors to freely explore products, using digital platforms to access product details and reviews. Beauty consultants were close at hand to offer assistance. At another pitstop, the “Sephora Beauty School,” offered a spectrum of classes and community activities, providing hands-on guidance and enabling participants to test out beauty bloggers’ techniques. The “Care Table” addressed more personal skincare needs, providing a semi-private setting for individuals to remove makeup, try out products, and consult with experts. Here, digital tools helped consumers understand their skin type, facilitating personalized consultations akin to professional medical care. These innovative features aimed to create a unique, exploratory experience, blending digital convenience with concierge in-store service.

The feedback garnered from that prototype helped the team iterate quickly and gave Sephora the confidence to launch its first “Asia Store of the Future” in Singapore in 2022, followed by a second store in Shanghai in 2023. The Singapore store, situated in Raffles City, offered consumers a free-flowing, interactive beauty playground with a blend of digital and personal services, much like our early prototype.

The success of these two shops validated Sephora’s “Store of the Future” strategy. But experiences must evolve to stay fresh, so the team set up an “engagement indicator” tracking customers’ interaction with digital touchpoints to provide Sephora with valuable insights. Based on those insights, Sephora can continue to iterate its in-store experience and foster loyalty as its customers’ preferences shift.

As hoped, Sephora’s revitalized storefront blends digital and physical experiences in a way that gives every person who enters the store the feeling that they are stepping into their own “beauty power”.  By getting close to its customers, building early prototypes, and learning as it goes, Sephora has redefined the in-store experience, ensuring its relevance and appeal in a rapidly transforming retail landscape.

E-commerce has created tremendous challenges to companies whose core business revolves around retail stores.

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Online consumers struggle to make informed decisions with the deluge of choices online.

2

“Stores of the Future” launched

107%

traffic increase within four months of Shanghai store launch

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.

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.

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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.

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.

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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.

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.

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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.

I help organizations cut through complexity by shaping how they show up, through brand strategy, identity, and storytelling.

Working at the intersection of brand and business, I bring an editorial eye and a bias toward making—turning ideas into tangible experiences that people can understand, trust, and believe in.

My work spans government, healthcare, financial services, media, and consumer goods, from launching Gen Z-focused ventures to building innovation labs and reimagining legacy brands. I relish moments of ambiguity and enjoy translating across teams, perspectives, and priorities to move ideas forward.

I started my career in editorial and digital design, shaping cross-platform experiences and identity systems in publishing and agency environments. That foundation still shapes how I work today: I’m detail-oriented, collaborative, and overreliant on the Oxford comma. I hold a BFA in Visual Communication from the School of the Art Institute of Chicago.

For 25 years, I've asked the same question: Who does this design exclude—and what are we going to do about it?

My work spans human-centered strategy, inclusive design, and qualitative research, with clients ranging from Microsoft, Google, and Verizon to the National Science Foundation, and San Francisco Unified School District.

Before IDEO, I taught elementary school in East Palo Alto and spent a decade doing design work with social service organizations—where I learned firsthand what it costs people when systems are built without them in mind.

I am currently writing User Error, a nonfiction book about digital access and the design decisions behind it. I live in Oakland, California.

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My expertise spans brand, communication, and product design across tech, education, the arts, and social impact.

I believe great work demands both high-level vision and obsessive attention to detail, and only happens through collaboration.

I bring an inclusive, hands-on approach and a deep understanding of business, which enables me to consistently deliver excellence while always asking why.

Before joining IDEO, I worked at the brand firms Pentagram and VSA Partners. I began my career as a designer, leading teams at the School of the Art Institute of Chicago and the Milwaukee Art Museum. I hold an MFA in graphic design from Maryland Institute College of Art and a BFA in communication design from the Milwaukee Institute of Art & Design, and have taught at some of the best design schools in the US.

I am responsible for IDEO’s long-term success in China and working with clients to use design as a tool to enable growth. Specifically, I have helped Chinese companies design holistic brand solutions through the development of their products, communication, services, and innovation teams, and I have helped multinationals expand their presence and influence in China.

I advise global leaders on developing China-led innovation and capabilities.

In over 15 years in IDEO Shanghai, I have worked on projects that use design to elevate the quality of the experience of healthcare products and services, streamline processes that increase productivity, create spaces and programs that promote and enable inclusive communities, and build next generation mobility solutions that are planet-positive.

Before joining IDEO, I worked at Philips Electronics and the Electrolux Group in Italy, the Netherlands, and Singapore on a number of breakthrough commercial products. I am a member of the Young President Organization in Shanghai.

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.

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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.

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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.

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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.

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.

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.

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.