There’s a lot of excitement in the education sector about the need to equip students with skills like critical thinking, collaboration, and communication, to prepare them for a global, innovation-driven economy. But that’s easier said than done. Major changes are needed to move from a decades-old model towards creating new ways to educate students. Schools and their leaders, particularly in low-income contexts, often lack the necessary resources and support.

But given the right tools, school leaders can be the key to bringing this much-needed change to their schools. Knowing this, The William and Flora Hewlett Foundation partnered with IDEO and the Stanford d.school to create School Retool, a four-month-long professional development fellowship that trains principals to take a do-it-yourself approach to school change by conducting small, scrappy experiments called “hacks.”

The best part: They use the resources they already have available to address their schools’ needs now, without waiting for external funding or assistance. School Retool is available to principals at public schools where 60 percent or more of students qualify for free and reduced lunch, which is a common measure of poverty. The School Retool program provides research-based strategies for improving student outcomes, as well as training and one-on-one coaching on how to redesign school culture through easily achievable changes.

A Scaled Approach

School Retool addresses a common challenge in creating change across schools: Each school has its own people, culture, and needs, so programs need to be flexible. The fellowship helps school leaders define their aspirations, and provides them with inspiration through “Big Ideas” that have proven to be successful in different contexts in education. It then supports them to start small with hacks that help them learn how to implement these ideas in their own school. The program scales through regional cohorts of principals who learn from each other as they go through a process of setting goals, designing hacks, reflecting on the learning and progress, and making improvements to the next iteration.

Small Steps Toward Big Change

As School Retool has rolled out at schools across the country over the past two years, it’s becoming evident that small changes are adding up to major progress, and that the small hacks approach is helping leaders go from planning to doing. Take, for example, Marthaa Torres, the principal of a low-income San Francisco high school who started with a small experiment with one struggling student, trying to create a more personalized learning plan for him. “The hacking approach is a framework that will help me eventually get to the kind of school that I’m trying to create,” Torres said. To build on the learnings of her “hack,” she created and expanded a personalized coaching program for the student’s peer group of older Latino boys. Her goal is to roll out additional advisory support in the next school year. What started as a “hack” to give agency to a single student is beginning to affect the school-wide culture by incorporating student voice into decision making.

Creating a Movement

The School Retool fellowship launched in 2015 with a pilot for 16 principals from seven San Francisco Bay Area school districts, reaching more than 12,000 students. School Retool has since hosted cohorts for school leaders in Washington D.C., Detroit, Virginia, Idaho, and Colorado. By the end of 2016, 164 school leaders of over 114,000 students had participated in the fellowship program.

In addition to the in-depth work with school leaders, School Retool is creating a national dialogue around change in schools. Its first national effort drew more than 1,500 principals in the Shadow A Student Challenge, who spent a day walking in students’ shoes to build empathy and gain insight into their students’ school lives.

Learn more about how more school leaders are enacting change: bringing a sense of true belonging to a school’s culture; engaging students as active learners; hacking towards literacy; retooling for equity; and more.

WATCH: Marthaa Torres: Adopting a Hacking Mindset on Vimeo.

Remember your first View-Master? The sound and feel of that iconic camera-snapping motion, the excitement of seeing those vivid images in the form of your own personal slideshow? Introduced in 1939, this stereoscopic toy brought beautiful landscapes and famous attractions to the eyes of kids around the world.

Flash-forward more than 75 years, and the View-Master has been reincarnated to spark that same sense of wonder for the digital age. The redesigned model, the result of a project collaboration between IDEO and Mattel, is a modern case that bridges technology with play. The new View-Master preserves the classic features of the original toy, such as the original lever and wheel, but offers a much more immersive, 360-degree virtual experience.

Here’s how it works: Download the View-Master app and slide a smartphone into the sleek new red-and-white headset. From there, the phone’s camera will scan the QR codes on the reels to view a wide variety of images, such as wildlife, outer space, and a dinosaur landscape. Two slightly different images are displayed side by side on the device's screen. As each of your eyes looks at just the image directly in front of it and tries to reconcile it with what the other eye is seeing, a 3D effect is created. By moving your head around with the viewer over your eyes and taking advantage of the sensors within your phone to sense direction and position, you can travel through each of the scenes, exploring each of the different settings.

After working alongside Mattel to understand the heritage of the View-Master brand, researching the potential for VR and play, and exploring a variety of materials for the new device, designers created several prototypes that they tested with their core market: kids. As a result, the final design accounted for things like whether it could pass a drop-test or fit into kids’ hands.

Beyond the joy of pure play, the technology that powers the new View-Master also opens up a new world of possibilities for learning. Imagine turning a page in a textbook and seeing dinosaurs come to life. Or a virtual tour of an art museum through a set of View-Masters.

"We view this as just the beginning," said Doug Wadleigh, a Mattel executive, in an interview with CNET. "Obviously, we're getting in this space pretty early. The goal is to create the View-Master brand for the next 75 years."

Genentech is a biotech company that tackles difficult-to-treat medical conditions across the globe by creating innovative treatments. As a sponsor of the TED2012 conference, Genentech approached IDEO to partner in creating a “social space” for the TED exhibit hall that would captivate participants in an interactive brand experience and garner excitement around the future of personalized medicine.

To make leading-edge science more accessible to the masses, the team landed on an exciting new provocation: What if we could turn genes into music? IDEO worked closely with Genentech to develop an immersive genetic experiment that could incorporate traits of the TED community, using the company’s brand new technology for overnight gene analysis. A TED participant would choose a colorful trait pin packaged with a cheek swab kit and corresponding barcode, allowing them to leave a genetic sample one day and return the next day to discover that four SNPs of DNA had been analyzed overnight and translated into a unique musical track.

The IDEO team developed the concept, prototyped it with scientists, musicians, and sound engineers, and designed every element of the physical and digital experience—from the swab kit and packaging, to the built space and listening stations, iPad app, and other digital touchpoints. At the heart of the experience was music, including an algorithm that could generate 6500 unique musical combinations to reflect the genetic diversity of the TED participants.

Genentech’s “Infinite Variations” exhibit at TED2012 created the world’s first genetic symphony, an innovative and colorful blend of science and music. With the exhibit, Genentech sparked novel, approachable conversations about the role of genetics in medicine.

Of the 1850 attendees, over 1100 joined the genetic experiment in music and walked away with a new understanding of personalized science—and of their own genetic makeup.

What happens when you serve kids food made with cricket flour? And what do parents think? That’s what IDEO and Bitty Foods sought to learn during a collaboration to explore new kinds of lunchbox foods as a means to discover opportunities for alternative sources of protein.

We talked to Megan Miller, cofounder of Bitty, the Bay Area startup that makes delicious foods with cricket flour, about the collaboration.

Listen to the full audio story below, or go to Soundcloud.

Some of these you may know, but others may surprise you. These six hard and soft skills are not just things to look for in a data science hire, but are also things to cultivate in yourself to prepare for a successful and fulfilling career in data science. We made this list to help identify ideal students for our data science bootcamp, people who will make great students and great hires.

1. Statistical thinking

Data scientists are professionals who turn data into information, so statistical know-how is at the forefront of our toolkit. Knowing your algorithms and how and when to apply them is arguably the central task to a data scientist's work. However, to do this well can be an art and a science.

A good data scientist can model any data he is given and implement a toolbox full of algorithms to make statistically-informed predictions and recommendations. A great data scientist can smell something 'fishy' in the results she gets, senses that he needs to ask the client or stakeholder a few more questions before retreating to the code cave, and can make the difference between a game-changing insight and an expensive blind hunch.

Cultivating statistical thinking: Quantitative thinking sinks in the fastest when it is relevant to you. At Datascope, we keep our statistical thinking sharp by calling each other out on our bold claims, sometimes making friendly bets, and figuring out how to resolve it with statistics. For example, here’s one you can try on your friends: how many wikipedia articles contain the word “the”? All of them? Nearly all of them? We put the over-under at 90%, wrote a script to calculate the wikipedia document frequency of the word “the”, and shocked ourselves to find out the word “the” only appears in 85% of wikipedia articles.

2. Technical acumen

Data scientists write code and work with teams to produce tools, pipelines, packages, modules, features, dashboards, websites, and more. We write code on the back end and the front end. We do structured and unstructured. We sift through unfamiliar formats and legacy code, and "roll our own" tools when we can't find the solution we need.

A great data scientist has a hacker's spirit. Technical flexibility is as important as experience, because in this field the gold standards change with an alarming rate. Data scientists work together, love open source, and share our knowledge and experience to make sure that we can move at the speed of demand. If your data scientist is a quick study, you've made a sound investment beyond the current trend cycle.

Cultivating technical acumen: Write code, every day if possible. Learn about the tools you want to use, but don’t just read about them, try them. Follow a tutorial. Change it and see what happens. Break it. Check out someone’s projects that are written in a language you don’t know. If you read about a new tool or service that interests you, start by just making a “hello, world”. Work in small bites.

3. Multi-modal communication skills

When the analysis is finished running, most of the time the results aren't pretty. That's not to say they are unhelpful, but they are often trapped in opaque readouts, or in plots that are sensical to the expert's eye but hieroglyphics to the rest of the team and stakeholders. Algorithmic output has to be interpreted and communicated to make the leap out of the data science team and into the hands of the rest of the company to be put to service in alignment with their usefulness.

A great data scientist can contextualize and translate a problem and its solution to interested parties of wildly varying backgrounds using common ground, metaphor, skillful listening, and storytelling. This includes the written communication that goes into a statement of work or a report, visual communication for clear and intuitive plots and visualization, and spoken communication for presentations, project specifications, check-in meetings, and iterative design. If your data scientist can stop a meeting when it's clear that not everyone is on the same page, draw a sketch on the whiteboard and elicit consensus from a diverse team, you have a deeply valuable person on your team.

Cultivating multi-modal communication: Practice writing and talking about your technical projects to “normal” people. Edit yourself down to the important parts. Learning to edit yourself is key. Practice visual communication with “crayon wireframes”—we use these all the time, and they help us to think visually and iterate quickly. Sketches are also a great way to gut check if everyone is on the same page. If the words you’re saying seem to match each other, but the pictures don’t jive, you may have nipped some future problems in the bud.

4. Curiosity

So your data scientist is a technical and statistical whiz who can explain a Markov chain to a supermarket checker. What else separates the elite? The first of our trio of invaluable soft skills is curiosity. Many who are drawn to data science find most alluring the opportunity to work on a constant stream of new and challenging puzzles. They are people who have been asking "why" and "how" since their mouths could form the words.

A good data scientist will take a request, implement it, and deliver the prediction or analysis with confidence. A great data scientist will come back asking for access to more data, or to interview users, or to try something new in the next iteration, because something he did triggered that curious itch. Curious data scientists might have a disdain for machine learning competitions because they can't access all of the levers and choice points to ask questions and dig deeper. Masters of curiosity are quick to question their own assumptions.

Cultivating curiosity: Are there stupid questions? Actually, probably… yes. But who cares? In our experience they are largely indistinguishable from really great questions that no one has bothered to ask yet. So we don’t discriminate, and we ask many many questions that may or may not be stupid. Ask enough stupid questions and eventually you’ll land on something brilliant. Seek out people different than you to talk through ideas. Let your mind wander. Raise your hand and ask questions. And never assume that the experts see everything that you do -- don’t ignore that inner voice when it’s telling you something isn’t adding up. You might ask a stupid question (and learn), or you might ask a brilliant one (and discover).

5. Creativity

Creativity goes far beyond the obvious applications in communication and project design. Of course, a data scientist who can create an attractive and easy-to-grasp report or visual out of results that would take a couple of master's degrees to fully understand is a skill with enormous returns. Creativity provides the fuel for skillful communication, and that is not a hard sell.

Beyond aesthetics and communication, however, the best data scientists are creative problem solvers and have a peculiar relationship with the word "no." Your data scientist really wants to include those user-level data sets in the algorithm, but they are locked down in another silo within the company? She figures out a way to model their effects from the population statistics, or she generates a simulated report using dummy data to convince the c-suite that building a bridge between departments is well worth the risk or effort. The client wants to know how much foot traffic their potential new outlets will see, next Friday, and those data don't exist or aren't available? He uses publicly available transit data to build informed estimates and proposes a small and inexpensive sample-gathering project to build a turnstile-count-to-total-pedestrians conversion heuristic.

Great data scientists get annoyed by “no,” so annoyed that they find a way to get around it, over it, or through it, or they back up and take another path altogether. Design constraints are infuriating and intoxicating. A data scientist who says "no," followed quickly by "wait, hold on… let me think," just might be a great creative thinker.

Cultivating creativity: When you have an idea, do it, and let go of judgment. Foster an environment that invites questioning, thinking outside the box, and a “yes, but” conversational atmosphere. Creativity is ingrained in culture: give people around you the safety to “fail,” without judgement or criticism, and they’ll likely grant you the same. When you’re surrounded by people thinking and working creatively, you’ll find your own creativity flourishing, too.

6. Grit

In all of the characteristics and skills above, we've talked about technologies that appear, demand attention, and fade faster than songs on the top forty, messy data that should but don't quite fit into the model the client had in mind, dead ends, wrong turns, roadblocks, and red tape, teams full of mixed agendas and personalities; budgets, deadlines, clients, teams, and contractors; and the unicorn-magician-programmer-statistician who is supposed to bring it all together. Those who survive have a healthy inner store of grit.

All of these challenges and roadblocks could drive a reasonable person to an unplanned leave of absence. Grit is that inner drive that pulls us over obstacles, recasts setbacks as design constraints, propels us through fear of failure, keeps us walking through actual failure, helps us to resist the impulse to take things personally, and brushes that dirt off our shoulders. When grit is working, we’re less competitive so we can encourage and learn from each other. We get the taste for tackling the new and the unknown.

Cultivating grit: Let go of perfectionism. We encourage ourselves to think of quick and dirty ways we can resolve problems or test solutions. We share our early efforts and listen to the feedback we get. Keep in mind that every expert has to start as a beginner, and a beginner trying to masquerade as an expert fools no one but himself. Don’t be afraid to let your warts show—what seems like a weakness, handled properly, is a powerful tool for leadership and growth.

What does it take to be a great data scientist? We thought long and hard about this while we were designing a data science bootcamp for Metis.

Read the article online at Harvard Business Review.

Leaders now look to innovation as a principal source of differentiation and competitive advantage; they would do well to incorporate design thinking into all phases of the process.

~Tim Brown

Want to dive deeper? Learn more about design thinking with IDEO U.

In an article for Harvard Business Review, IDEO CEO Tim Brown shows how thinking like a designer can transform the way we develop products, services, processes—and even strategy.

“While I had done a good deal of research and was familiar with evidence-based design in an academic setting, I had little knowledge about design-related career paths,” she explains, a scenario she sees as typical for a lot of BIPOC (Black, Indigenous, people of color) students. “I think there are only certain paths presented to you as viable,” she says, “which is unfortunate because I think a lot of the systems and things that need redesigning disproportionally affect people of color.” And yet less than three years later, the public health and sociology major would find herself working on an IDEO design-research team.

She got there viaColor by Design (CxD), RepresentEd’s newest fellowship designed for BIPOC in partnership with IDEO. The first cohort of design-research fellows will finish the program in June, and the experience has been groundbreaking: for IDEO and, we think, for the fellows, fewer than five of whom came to the fellowship with any previous design experience. That’s, well, by design.

“The program is about increasing access to design—not just to IDEO but the design industry as a whole,” says RepresentED CEO and founder Rashida Hanif. “CxD has served as a proof of concept that someone can go from zero design knowledge to designer and bring value from day one.”

After completing a three-month part-time professional training course that ran from September through November 2021, the 14 fellows have been integrated as full members of the IDEO community during their six-month fellowship. They’ve been working alongside IDEO employees on key client projects, among them engagements with a major tech company, projects around access to abortion, and the reimagining of the student experience at colleges like NYU.

They’re a month away from wrapping up, and IDEO had planned to keep the ball rolling by launching the application process for the next round of fellows this month. But we’ve decided to take a beat and will be postponing the next cohort until 2023. It’s not hesitation, it’s preparation. Together with RepresentED, we have a shared eagerness to keep growing and expanding, but that’s paired with a shared commitment to scale the program in a thoughtful way.

So many rich learnings have emerged since September. Rather than try to synthesize them and make adjustments in real time, we want to spend more time with our questions and give ourselves space to put our insights to work.

One of the biggest ones is that the fellows only participated in design research. We want to expand and scale CxD to other disciplines—perhaps communications design and experience design—and other divisions of IDEO have made it clear that they’d love to welcome fellows of their own. The opportunity is there, but it’ll take some additional work to put the pieces in place.

We’d also like to finesse the bootcamp aspect, the three months of training that precede the paid, full-time fellowship. As it stands, the bootcamp is largely focused on design thinking as a whole, with modules about design research, methodology, etc. We realized some of our fellows need deeper design research support, and we’d like to get ahead of that earlier in the bootcamp.

Getting the foundation right is important, and we are glad to be able to provide it. One fellow in this cohort was a freelance graphic designer who worked as a bartender. He told me CxD has changed the trajectory of his career and his life—and that’s a real gain for the industry. The fellows may not have deep design backgrounds, but they bring rich and varied experience to the table. Another worked as a doula and felt ready for a career change. Yet another worked on the White House’s National Economic Council. Others did content marketing for international fragrance companies, spearheaded community initiatives to inspire change, and co-founded creative agencies.

The reality is that if not for a program like this, IDEO would have probably overlooked their applications. There are so many barriers to entry within the design industry, and Sasha puts it so well: “It’s not that the fellows don't have experience that would make us successful designers, but that what is seen as relevant experience is often so narrow.” RepresentED has an uncommon ability to take a wide view, which has in turn allowed us to welcome folks whose perspective is missing.

The design industry has long been a homogeneous one (IDEO is no exception, with a U.S. community that is still only 5 percent Black, less than 1 percent Indigenous, and less than 7 percent Hispanic/Latinx.) We needed to expand access, and RepresentED excels in recruiting non-traditional candidates and among communities of color.

“Our sweet spot is people who studied the social sciences and humanities, the ones always told, ‘What are you going to do with that major?’ The ones who are told they have to get a graduate degree, or go into academia,” says Rashida. “They often aren’t aware of how vast their options are and how to present their skills to the job market as viable candidates. English students are incredible writers. Anthropologists understand people and culture. Transfer students bring an amazing life context to the table. We teach them how to use human-centered design to their advantage.”

She thinks of these candidates in a striking and insightful way: “I often feel like we live in a society where we like to throw away the beautiful things. I see them as this collage of beauty. There’s more of that than there is of the status quo.”

And CxD is proving to be a viable way to shift that status quo. It has also shifted things in IDEO’s internal structure. The program touches so many different parts of IDEO—the marketing team; team building, which oversees project teaming and staffing; IDEO’s Research and Insights cohort; and IDEO U, IDEO’s online learning platform. In the process of building up the program we’re learning how to create more equitable structures and thinking about how we onboard employees differently, too.

The fellows very intentionally have a strong network of support. In addition to their interactions with the CxD leadership team, each is assigned a manager and a craft mentor as well as a steward, an IDEO designer who holds a non-evaluative role and creates a safe space for the fellow to take any challenges to. As Sasha puts it, “It helped with building creative confidence. The attitude is, ‘You’re supposed to be here, but if you have a question you know where to go.’”

As for Sasha, she spent 14 weeks on the IDEO design research team that partnered with a major baby retailer to reimagine the registry experience. “The video of a Zoom interview I led with a parent—the first interview I had led—was used continually throughout the project,” she recalls. “That always felt like a rewarding moment: being reminded that those were insights I helped to uncover and the affirmation it provided that I had done a good job.” She moves to a new project this week.

“I’ve developed confidence in myself as a designer. I’ve been equipped with this toolbelt of skills that will be useful no matter where I end up,” Orewa says of her experience. “Last week I had a call with someone who saw I was a part of CxD but had a background in public health and reached out on LinkedIn to ask questions. That makes me excited, that there are people like me who are learning that the opportunities are out there. It’s the ripple effect.”

The next CxD cohort will launch by the end of 2023. We will share updates as we get closer to the recruitment season. If you have any questions, please contact info@representedleadership.org.

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By the time Sasha Orewa graduated college in 2019, she had been exposed to plenty of things. Design research wasn’t one of them. Ditto UX, interaction design, or experience design.

What should a passenger’s experience feel like? How much space should be allocated to each passenger? What were the tradeoffs? The folks in marketing had one idea, while the folks in engineering had another. Spreadsheets were involved, but we weren’t making much progress.

Our project team didn’t have all of the answers either, but we thought of one way that we could help. We took over a section of our San Francisco studio and spent a week building a full-scale shell of a plane out of wood, foam core, and cardboard. Our intention was to create a dynamic space for physical and digital experimentation. We then invited our clients to host their next meeting inside the “plane.”

Once inside, the trade-offs were clearer. The team could picture what different seat configurations might feel like; they could move things around as they visualized various options. Prototyping revealed a level of granularity and specificity the team simply couldn’t access over Zoom or through conversation. What started out as a series of abstract questions suddenly became tangible.

When you work in the mobility space, the projects you work on are big—literally. It’s not just the size of a car, but the size of a train, an airport, even a city. While creating low-fidelity prototypes of products and systems of this magnitude might seem impossible, prototypes are a tried-and-true tool for learning about your customers and refining your product design. They are also equally valuable for learning, aligning, and collaborating as an organization. When it comes to larger-than-life challenges in the mobility space, here are three ways prototyping can help.

Prototyping breaks down barriers

Many established mobility companies have spent decades developing processes that have allowed them to build safe, high-quality products at scale. But those methods don’t always work when adapting to a rapidly shifting market. When it came time for our team to work with a leading automaker to rethink the future of the commercial van, we all knew it would demand new ways of working. Together with their team, we built a new collaboration space in the heart of their engineering building to shake people out of their usual workflow. The walls were covered with pictures of vans in action, quotes from potential users, and in-progress work. In the middle of the space sat “the rig,” a purposefully unfinished prototype van made from modular aluminum and hand-cut cardboard parts. This was far from the polished models of car shows.

Instead of putting this space under lock and key, the team put up posters throughout the engineering building inviting folks to join them. When that effort didn’t get much traction, a member of the team proposed an idea. He simply wedged the door open and posted a sign that declared: “open door policy.” The message was simple. We wanted people to build with us. And the people, and the ideas, followed.

Unfamiliar faces started to pop into the space and populate the prototype van with new mirrors, door handles, and smart sensors while other groups debated strategy across the room. What started with a single project space grew, eventually morphing into a dedicated innovation lab that is collaborating across the organization to tackle the future of mobility.

Prototyping challenges assumptions

Several years ago, IDEO worked with Toronto Pearson International Airport to revitalize the airport’s operations from the passenger experience to the baggage handling process. Baggage handling operations are particularly important, as they’re a key metric for measuring airport efficiency, service quality, and performance. They’re also very complicated. Baggage handling involves multiple organizations, thousands of contract workers, and even more suitcases, moving between planes and carousels all around the world.

As contractors, baggage handlers aren’t often brought into the process to help redesign operations. But their perspective is invaluable. So together, IDEO and Toronto Pearson decided to hold a “baggage olympics” for operations employees, passengers, and baggage handlers to test, build, and improve prototypes of early baggage handling ideas. They landed on a simple but effective solution: color-coded signs, clear iconography, and guidance on where baggage should be placed. Not only did the exercise streamline airport operations, but it also changed everyone’s idea of how different groups of people could work together and how operations should work in the future.

As Darin Juby, Director of Baggage Services, told IDEO: “The work to reimagine baggage handling taught us how to prototype and collaborate—it reprogrammed us with a new mindset and way of working. When the pandemic hit two years later, because we had laid the groundwork, we were able to pivot quickly and cost-effectively in the midst of an unforeseen crisis."

Prototyping reveals unexpected needs

Bringing in potential customers to test out prototypes is a pretty common practice among design teams. But often in the automotive space, users do not have a chance to interact with prototypes until much later in the design process. Even then, they are often restricted to testing out highly refined models in tightly controlled sessions.

It’s far more rare to bring parents and children into your design space and invite a range of stakeholders with different perspectives, hypotheses, and critical questions to watch them play in an early prototype firsthand. But that’s exactly what we did with our partners at one of the world’s largest automobile manufacturers.

While we had been talking about bringing people into the lab, it wasn’t until families were engaging with our designs that we realized just how eye-opening it was. In one session, we watched alongside marketing, design, strategy, and product development leaders as a family played a game in the front of the car. Halfway through the game, a child pulled her mom to the back for some one-on-one time, pretending they were looking out at stars.That seemingly simple interaction inspired our team.

The team renamed the prototype Stargazer, and it helped changed the conversation about these vehicles. Decision-makers for this vehicle portfolio were bringing an empathy for the lives of these users into meetings, and talking more about how to foster quality family time than vehicle features and functions. Seeing our prototype in action extended customer empathy and understanding beyond marketing execs, ensuring that teams across the multinational organization were considering user needs from the outset.

Prototyping unlocks possibilities

Throughout my work on mobility projects at IDEO, prototyping has been the best tool for shaking up entrenched thoughts about how teams should work together. It not only provides teams with an opportunity to test assumptions and generate radically new ideas, but it also helps spark alignment and build confidence across disparate stakeholders. In some projects, embracing prototyping has even led to the development of new ways of working and labs that live on far beyond the launch of a product.

For those tackling challenges within the mobility space, and are eager to experiment with prototyping, start small. Take over a conference room, invite different voices in, construct a cardboard model, and watch your organization transform.

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Late last year, we sat on a Zoom call with executives at an organization redefining commercial aviation. They had some critical decisions to make about their first commercial aircraft.

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.