Since its founding over a century ago, Tokyo College of Music (TCM) has trained countless world-class musicians. Despite its well-established reputation, however, the school was feeling a pressing need to reconsider its role in order to remain relevant in a changing world.

The college had plans to build a second campus in Daikanyama, a prominent area of Tokyo known for being a hotbed for new global trends. Taking advantage of this opportunity, TCM leaders asked IDEO to help them develop a new concept for the school, and to redesign the learning experience while preserving a focus on classical music.

To kick off the research phases of the project, IDEO designers interviewed TCM students, and traveled to London, New York, and Boston visiting educational institutions, music schools, and arts facilities.

The team observed that students at music colleges outside of Japan were giving serious consideration to their career plans at an early stage in their studies, acquiring a variety of skills and mindsets through a well-rounded education. By contrast, TCM students were focused on learning and performing classical music, but tended not to have a clear image of future career opportunities.

IDEO proposed four specific directions for TCM’s new campus, based on an overarching theme of “culture, fields, and people collaborating across boundaries.” The first aim was to foster a business mindset and entrepreneurial spirit among the students that surpassed their classical music training. Next was to increase opportunities for actual performances, collaborations with professionals outside the school, and joint projects. The third aim was to position the college as a platform that would encourage the spontaneous creation of communities within and outside the school. The final aim was to develop students who were digitally savvy and fluent in new technologies, enabling them to continue evolving in response to developments in the real world. These goals are reflected in the various spaces of the school, as well as in the design of the experiences that occur in those spaces.

The most symbolic of these spaces is the Creative Lab. Originally intended as a library, the space now functions as a platform where people from within and outside the school community can collaborate and generate innovative ideas. The open layout, which encloses a cafeteria for students and faculty, can be altered depending on programming needs. The Creative Lab provides a venue not only for live performances in which the students can polish their improvisational skills, but for holding workshops and other events on topics such as cultural exchange, business, and new technologies.

New furniture and objects were carefully selected to inspire spontaneous encounters and conversation between students from different departments and staff, creating a flow of activity.

Even the landings on the staircases, which tend to be dead space, were designed with this concept in mind. One student commented that the space facilitates meeting new people and creates “opportunities for deeper interaction with students from other departments.” This intentional, open design has transformed the space into a hub within the school and the local community.

Through the new environment and educational opportunities at TCM's Daikanyama campus, students now have stronger opportunities to apply their creative talents in numerous fields worldwide, creating impact informed by the various perspectives, skills, and relationships they have developed at TCM.

Georgia is among the most populous states in the American South. It’s a place with a storied past and promising future—on the rise economically, and continuing its powerful cultural impact on music, TV, cuisine, and tourism. Over 10.4 million people call Georgia home, and nearly all of these people will at some point navigate the state’s websites for securing everyday services. Ideally, this online platform would provide unifying and accessible government resources for everyone, whether they’re renewing their vehicle registration, seeking a fishing license, or looking up tax law updates.

Georgia’s Office of Digital Services (DSGA), part of the Georgia Technology Authority, was challenged with designing a platform to modernize the collective and individual online presence of 80+ state agencies, many of which used visually disconnected formats and color palettes that could leave the public feeling confused. DSGA recognized that they could provide more efficient and higher quality service to the public if they simplified the language, designed the site from the user's point of view, and created a more cohesive look and feel across agencies.

IDEO worked with the DSGA to identify the priorities of Georgia residents who use the various agency websites. On a road trip from Savannah to Atlanta, with stops in Macon and Dublin, the IDEO team immersed themselves in the rich culture of Georgia, connecting with social workers, low-income residents, state agency leadership and civic organizations to learn how Georgia’s digital properties could better address their disparate needs.

The design research underscored that there isn’t just one Georgia—it’s a tapestry of people, geographies and political orientations. Yet several common themes emerged, including:

Georgians want their government to “give it to them straight.” On the redesigned Georgia.gov platform, the people of Georgia can easily search popular topics to get the information they need. This includes learning how to apply for food stamps, renewing a business license, or simply finding out the location of a local office in their area. If a user has remaining questions, they can connect directly with a real human for further assistance, balancing direct information with warmth and a personal touch. User feedback on the site provides the opportunity for continuous design improvement.

Georgians want to take pride in the legacy and the future of their state. IDEO developed an entirely new design system with new navigational elements, fonts, and a color palette inspired by Georgia’s landscapes, all of which can be modified for individual agencies while remaining consistent with the state brand.

A distillation of the original Georgia seal adds authority, and new icons anchor the site’s menus and bring more clarity to the search function. The platform was designed to be Section 508 and WCAG 2.0 AA compliant, providing clear and accessible page content that adheres to federal laws and international web standards. To instill trust in Georgia’s online presence, each page also has a header that indicates it’s an official Georgia State website and outlines the uniform features constituents can use to identify this.

With improved navigation and easy-to-access prioritized content, Georgia.gov is a much more efficient platform for addressing requests from citizens. The site projects a happy-to-help, citizen-centered approach that aims to empower all Georgians so that they feel confident, informed, and prepared.

According to the Centers for Disease Control and Prevention, nearly 30 million Americans have diabetes, almost 10% of the population. The vast majority of these diagnoses are type 2, which is commonly treated through a combination of medicine, diet, and exercise. Today, one of the major barriers to better outcomes is access to trusted information. As little as 15 percent of people with diabetes receive adequate education from their healthcare providers on managing their disease and making recommended lifestyle changes.

Ascensia Diabetes Care, a global healthcare company, has been a leader in diabetes treatment for over 70 years, known primarily for producing blood glucose meters. IDEO has worked with Ascensia for more than a decade, helping develop and design their CONTOUR NEXT ONE meter in 2016. In 2017, Ascensia engaged IDEO with a new goal of moving the company beyond physical devices. Ascensia envisioned a first-of-its-kind approach to educating and monitoring diabetes patients. In partnership with IDEO, they wanted to build a comprehensive solution—one that would not simply take glucose readings and document food intake, but would consider all factors that impact a person's health.

Through deep collaboration, Ascensia and IDEO built a powerful app-based service. The project began with a strategic vision for the experience and ended with the delivery of an all-encompassing health offering, including training of providers, packaging, app design, content creation, and visual design.

The patient experience married data and tracking, real-life mentorship, and personalized content. When a patient signed up, they were paired with a Certified Diabetes Educator (CDE) who created a tailored program based on their needs and linked them to relevant articles on topics like cooking, mental wellbeing, and sexual health. The IDEO team led the charge in hiring and training guides, crafting the educational content, and even designing the content management hub.

The data engine behind the app is another one of the program's stand-out qualities. The app pulled data from multiple data sources—exercise bands and glucose meters—to provide constant feedback, track progress, and continually refine the experience. To generate empathy, as well as build the app's initial data set, IDEO's data scientists tested the product on themselves. One designer wore a wrist full of exercise monitors around the office and tracked her blood sugar after every meal.

The app-based service was tested with 60 people and demonstrated remarkable early results. Only two participants failed to complete the study—a stunning success rate when adherence to therapy for chronic illnesses in developed countries averages around 50%. Additionally, participants reported drastic improvements in both physical and mental health. One recently widowed 70-year-old woman emerged from depression, returned to swimming, and started having regular blood sugar readings.

The project required Ascensia to embrace new ways of working internally, adopt a broader view of their offering, and ultimately expand the way they serve people with diabetes.

When Mr. Gordon told his fifth grade students they were taking a field trip on a bus, many of them envisioned the city bus that they ride each day to school. But when they saw the Verizon Explorer Lab pull into the school parking lot, they realized a unique experience awaited them. Painted in bright colors, this bus promised something very different from their daily commute.

“Climb aboard, explorers!” says the Lead Explorer. The students walk through the bus’ sliding doors and inside, where instead of rows of seats, they find a sleek research lab. Suddenly, the lights dim. The bus makes a rumbling noise as though it’s about to lift off. And on a large screen, a vision of Earth from space appears. The students listen and point as the video narrator briefs them on NASA’s ongoing search for life in space.

Science education isn’t always this fun. Some kids have a chance to learn through interactive games, immersive experiences, or engaging field trips; but many lack access to rich educational experiences in science, technology, engineering, and math (STEM). As a result, they can be less likely to pursue careers in STEM, though many future jobs will demand mastery of these subjects. This not only impacts a student’s potential and future, but reduces the diversity and number of qualified STEM job applicants.

In under-resourced schools, students are often limited to the scarce tools available for STEM learning in their classrooms. Many kids rarely have a chance to leave their neighborhoods. For these kids, mobile learning experiences that come to their school offer unparalleled exposure to cutting-edge, technologically advanced, and—most importantly—inspiring gateways into these critical academic subjects.

As part of its focus on digital inclusion, Verizon partnered with IDEO to share the excitement of STEM learning with middle schoolers. To facilitate access and discovery of STEM, the team designed a learning experience that takes place on a coach bus and can be scaled to reach kids across the nation.

The team set out to transform the bus into the Verizon Explorer Lab: a futuristic research lab that transports kids to new environments, from outer space to under the sea. As part of the larger Verizon Innovative Learning program, the Verizon Explorer Lab offers delightful and rigorous content that meets national science standards.

A multidisciplinary team comprised of designers across interaction, communication, environments, games, and software partnered with Verizon to bring the Verizon Explorer Lab to life.

To keep the student at the center of the experience, the team designed alongside kids. Their gravitation toward play, interaction, and technology inspired the digital game that students play onboard the bus. When developing the game’s narrative, the designers turned to popular kids’ books and movies. What began as a card game prototype eventually became a 360-degree video and virtual reality expedition to Mars—complete with a custom musical score—that introduces middle schoolers to engineering basics.

After stepping through the bus doors and taking a tour of the solar system, Mr. Gordon’s students receive an emergency call from NASA: They must rescue the missing Curiosity rover, which is dedicated to collecting evidence of life on Mars. Eager to save Curiosity, the students become immersed in the adventure at hand. And through the adventure, they become immersed in science.

Students use tablets to design their own Mars rover. Each rover appears on a large screen and traverses the planet’s extreme terrain. The goal is to collect data that suggests life on Mars, including ice deposits, photos, and more. Students iterate on their rover’s design—wheels, power sources, and sensors—to test if it can stand up against dust storms and craters. The team consulted a NASA planetary scientist to ensure accuracy, as well as educators to establish cohesion with classroom curricula.

During the game, students are encouraged to compare designs and learn from each other: One rover may be able to travel long distances and take various photos, while another can carry large quantities of ice and sediment samples but can’t go far because of its size. At the end of the mission, the group finds Curiosity and sends all of the evidence they’ve collectively gathered back to NASA to aid the search for life beyond Earth. Before departing the bus, students watch an animated video that explains various jobs in STEM and encourages kids to pursue one of these careers.

The Verizon Explorer Lab teaches students the engineering design loop, the value of collaboration and teamwork, and what a career in STEM might look like. The mission to Mars game is just one of many potential STEM learning opportunities for students and integrated, customizable learning modules for teachers.

Since launch, the Verizon Explorer Lab has traveled to various parts of the United States and reached thousands of kids. It continues to be managed by Learning Undefeated, Verizon’s nonprofit partner. By designing for and with students, it’s possible to create educational experiences that facilitate meaningful learning and genuine fun. The Verizon Explorer Lab represents progress towards a more inclusive future for employers and the STEM field.

Direct feedback that teaches rather than chides requires trust, and trust takes time.

Unlike humans, AI craves to know when it’s wrong. The entire premise behind machine learning is that it learns from failure or success. For example, we may feel that weather algorithms always get it wrong, but they can only improve by comparing their forecast to what actually happened. It’s therefore our job to tell the system when it’s wrong and acknowledge when it gets it right—but that requires a level of trust.

We can often tell if our friends or partners are unhappy with our actions, even if they don’t directly tell us. We can read their facial expressions, subtle changes in their tone of voice, and body language. Machines, however, don’t have that kind of intuition. Until we’re all walking around with some kind of lightweight EEG machine strapped to our head, machines will need to find proxies for how to sense human emotions, desires, and preferences. The obvious way to do this is to just to ask us, but that is manufacturing a transactional relationship, not a trusting one.

All I’m asking AI is for a little respect

A good example of an AI asking for trust rather than earning it can be found in the personal styling services that are popping up. They are doing some amazing things in integrating data science into every component of their business to drive growth. But my experience put me in the awkward position of feeling like I needed to explain myself and share sensitive personal details with someone I’d just met.

Signing up for the subscription service begins with a long and detailed survey about body type and style preferences. I spent a good 30 minutes thoughtfully answering myriad questions to create my style profile, and yet I returned everything that they sent me in the first box. None of it jived with my personal style, and only one thing fit.

I had put the time into creating a relationship with the AI—training it with my intimate information, such as how my body was shaped—and that process had given me a false sense of mutual understanding. If it had just taken a look at my Instagram profile and sent me a box, I would have given it permission to get it all wrong. But its surprisingly clunky and unnatural way of “sensing” my preferences for clothes set an unrealistically high expectation of what was to follow. Questions about slightly nuanced styles of plaid let me to believe that it could understand I like simple patterns—and then it sent me a shirt better fit for my grandfather.

By asking me to train a system before we had established a relationship of trust, the AI had breached it before it had even formed. When I’m in a trusting relationship, I can forgive someone for an error. But this felt different—like I’d been duped into a false sense of intimacy. I’m going to try one more box, but I have a strong hunch I’ll be cancelling my subscription soon.

AI is a relationship

While rare, there are a few AI with whom I’m in a trusting relationship of mutual respect. I relish my moments of training them because they respect my time and provide me with value as I train them—even when the AI is mostly wrong. I’ve come to truly value those moments when they tell me I’m wrong, because they do so in a way that deeply respects my position as a human and their position as a machine.

The format of the playlist is likewise brilliant: I don’t need to rate the songs but simply listen to them or skip them after I’ve heard a bit, and songs that I love get added to my own playlists or saved to my phone. Over time, it learns my preferences and can dish me up even better tunes. There’s no artificiality to training Spotify, and each and every time I train it, there’s value back to me as the user. Most importantly, Spotify has earned my trust through helping me discover a slew of new artists and, in doing so, earned its right to be wrong. (I don’t really love St. Vincent, but I understand why Spotify thinks I would.)

But we’re not the only one doing the teaching. When it comes to “training” humans, Waze and Google Maps are setting the standard. Their features are clearly based on a deep understanding of the common human emotional conditions that we endure during traffic: stress, anxiety, impatience, and a deep temptation to bail on our algorithmically recommended route in favor of our own “shortcuts” (which are almost never shorter).

Maybe the most brilliant bit of human-centered design inside of these navigation apps is how they highlight alternative routes and how much longer they’d take. Instead of having to blindly trust the route the AI has chosen, it considers its own possible fallibility and assures us by showing us the other routes we might be considering. Thinking of bypassing the highway? That’ll take another four minutes. Want to cut through that residential area? Here’s some construction of which you might not be aware.

In this way, Waze and Google Maps serve as a sort of angel on our shoulder, counseling us away from our inner traffic-hating demons. They’re not “AI-splaining” or chiding us for considering alternate routes, but rather giving us the necessary information to make the right decision. They’re rooted in a deep respect of human agency.

At IDEO, we prefer to think of AI as Augmented Intelligence rather than Artificial Intelligence. Taking a human-centered approach to building relationships between AI and humans compels us to meet humans on their terms, building relationships of trust and respect, and always remembering that intelligent systems must exist in service of humanity, not the other way around.

Beautiful, human-centered, human-AI relationships are about understanding human beings and our wonderful, weird intricacies and inconsistencies. They’re about designing the experience of AI around humanity, rather than the other way around. AI can only function well if it learns from its mistakes, and that means establishing trusting relationships with humans so they’ll feel comfortable saying when it’s wrong.

This article was originally published in Quartz Ideas.

Illustrations by Cassandra Fountaine.

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It’s awkward to correct a stranger when they’re wrong. How did you feel when Miguel from IT, whom you’ve only met once, told you that “learnings” wasn’t a real word? Or when Robin lectured you about the correct pronunciation of “macaron” at the office holiday party?

But, for the most part, that relationship is passive. And that begs the question, what if we could teach our machines more actively? Could we school them on very specific things that are important to us? That thought became the perfect setup to build a little experiment involving selfies.

A self-portrait or a selfie is actually more than just one picture. It’s one picture out of endless tries which all look pretty much the same ... except that they don’t. At least not to the person taking the self-portrait. That person’s individual aesthetic, packed with subtle and subjective nuances, must be captured at exactly the right moment. Adding to the challenge, it's hard to explain to someone else the way you squint your eyes when you nail your smile or how you purse your lips to look roguish.

Enter Brainchild: a machine learning–based camera that can be taught individual preferences and make them accessible as a function. You can train the camera to understand how you like to see yourself without going through 100 iterations. And most importantly, it allows you to share your sensibility with somebody else.

Brainchild is just a prototype for now, but I'm hoping others will be inspired to build on the idea.

Beautiful, baby, beautiful

Machines are a billion times faster in quantitative tasks than we are. For a long time, the problem was one of not understanding quality. But that has changed with the improvement of so-called deep learning techniques—a subset of AI or machine learning.

By teaching Brainchild how you would like to be portrayed, it can assess the quality of what it sees in real time, and give you haptic feedback when it perceives you looking your best, so you can simply take that one picture.

It also allows others taking a snapshot of you to see you as if through your own eyes. Taking portraits is a very intimate art. Rather than taking the human out of the loop, Brainchild augments this human-to-human interaction by making it more collaborative.

A feel-good feedback loop

The intervals between interacting with machine-learning products and experiencing their learnings are often very long. There are many technical challenges, but more accessibility and immediate feedback would help us teach more actively and develop a better intuition for them. In return, machines could learn better and become more personal.

Brainchild is designed to provide immediate feedback. You teach it how you like to be portrayed, instead of letting it guess, and every picture you take based on its haptic recommendation serves as feedback on how well it learned and how well you taught it. (Plus, it's private. Brainchild works offline and stores all of your information locally, so there's no danger of it being shared.)

Smile!

How does the Brainchild prototype work? There are countless technical parameters we could talk about, but in the most simple terms, it makes use of a so-called transfer learning process based on a fine-tuned convolutional neural network—a technique frequently used in computer vision.

Brainchild needs to be taught five fundamentals:

1. What a human face looks like
2. How to learn about new faces
3. How to isolate the face in a picture
4. The way the portrait subject looks normally
5. The way the portrait subject looks when they deem themselves looking their best

The first two points require huge amounts of coding, data, number crunching, and time. That’s what consumed most of my time (next to working on the wrong file for a day!).

The third point addresses the fact that when you take a portrait there is always something behind you. To focus only on you without distraction, Brainchild extrudes your face from the background. That is something it learns before you use it.

Then you become the teacher. In order to learn how you look your best, it needs to know how you look normally. So, you feed it a few examples of both, either by taking new snapshots, or by using pictures stored on your phone.

To help Brainchild differentiate between the two picture sets you simply twist the front plate, switching between two learning modes. The serious smiley means every picture you take will teach Brainchild how you look “normally”. Switching to the happy smiley means every picture you take will teach it what it looks like when you look your best. This is how you get to know each other.

As soon as the camera spots you in a way that matches what you taught it about looking good, it will gently vibrate and light up the camera’s trigger button. The vibration and brightness increase the closer your match with your own ideal.

Brainchild doesn’t snap the photo for you, it just signals you at the optimal moment to do so. You can also hand the camera to someone else to capture you in the way you like to be captured. And the more you teach it, the more accurate it becomes.

It might seem mundane to teach a camera how to take a better selfie, but the technology has already inspired one of our clients to rethink parts of a high precision medical device that could dramatically reduce treatment costs for patients, and another software engineer to work on a playful version of FaceID.

I myself am now working on a body pose add-on for fashion photography, and am curious to see all of the other ways we might actively teach our machines and help them augment us in more personal ways.

Instagram: @brain_children
Concept and Technology: Jochen Maria Weber
Visual Design: Tiffany Yuan
Industrial Design: Leo Marzolf
Special thanks: Tobias Toft

We teach our machines every day. Voice assistants learn how to talk to us based on what we say to them. Navigation apps guide us based on the routes we take. Without millions of teachers like you, our machines would be much dumber.

What do you do when a panel is truly the star of the show? Can you still design meaningful participation from your guests beyond the Q&A?

This was our challenge when IDEO CEO Tim Brown, pioneering social entrepreneur Jacqueline Novogratz (Founder of Acumen), and visionary CEO Carlos Rodriguez-Pastor (CEO of Intercorp and Founder of Innova Schools) sat down for a conversation about design and bravery in our New York office. We knew these three would inspire guests with heroic stories of using design to create change at scale and challenging orthodoxies. But could we keep the crowd inspired after the conversation ended?

Our best bet, we decided, was to design a series of activities that would send guests on a heroic journey of their own—from hearing the call to adventure to facing fears to celebrating triumph over adversity. The result? A happy swirl of exploration and discovery, with guests staying late to gather around the hands-on exhibits like family in the kitchen at the holidays.

Here are seven ways to leverage a panel discussion and design an event they’ll never forget.

1. A moment to unwind

Create a ritual to help guests wash away the baggage of the day and be present for all that follows. We invited guests to partake in a sonic shower, an immersion in music that stretches the ears and awakens the senses.

Try this: An aromatherapy bar for deep breaths of invigorating or relaxing scents.

2. Active imagining

Even the most thought-provoking panels amount to a type of passive contemplation for listeners. Follow a panel with a prompt to actively imagine. We asked guests to hear the call of service, by imagining they were a person they serve and writing in that person’s voice in response to questions like, “What would it take for you to feel confident about the future?”

Try this: A finish-the-doodle mural wall or a listening booth with a guided meditation.

3. Space to be vulnerable

Offer your guests the surprising jolt of inspiration that comes from being vulnerable and naming your fears. We designed an anonymous confessional, tricked out with blacklight and digital wizardry, where guests wrote their fears on a private screen, then watched their words magically appear on a monitor in type for party guests to see.

Try this: Pair strangers up using matching name tags and asking them to find each other and swap secrets.

We designed an anonymous confessional to help guests embrace vulnerability.

4. Fast-tracked inspiration

Inspiration can also be fast and light. We sent guests on a tour of themed rooms devoted to New York’s legendary cultural movements—Punk, BeBop, Hip Hop, the Beats, and the Harlem Renaissance. Each room was chock-a-block with images, sound, and strips of paper bearing anthemic words from the movement. It was a blast of culture felt through the senses.

Try this: Give guests a deck of cards created from your favorite inspirational Instagram memes.

Guests were invited to tour the most iconic cultural movements in New York history.

5. Skin in the game

Putting one’s body on the line—through movement, physical sensation, or embodied action—is the ultimate form of engagement. For our biggest test of bravery, we dared guests to stick their arm through a hole in a black screen to blindly receive a semi-permanent Jagua-ink tattoo from an artist on the other side. No requests or restrictions permitted.

Try this: Ask guests to enter a space through one of two thresholds marked by declarations of identity, like “I’m an artist” or “I’m an activist.”

The ultimate trust exercise—blindly allowing a stranger to draw on your skin with semi-permanent ink.

6. Making

Who doesn’t like to roll up their sleeves and craft something fun? Making gives your guests an outlet for any new, creative ideas your event has inspired. We handed guests shortbread cookies, pipette bags full of icing, and examples of exquisite cookie decoration to emulate.

Try this: A collage-making table with old magazines, construction paper, scissors, and glue sticks.

7. Silly celebration

Even the most buttoned-up among us appreciate the chance to let their hair down. We gave permission to get silly with an IDEO designer’s GIF Dance Party, accompanied by another designing spinning live music. Guests grooved in front of a camera for a few seconds, then watched their avatar populate a digital dance floor on monitors throughout the space.

Try this: A box of masks and capes and the promise of a free drink for anyone who orders as a superhero.

We asked guests to get jiggy with it, and they obliged.

To summarize: Get creative. Get physical. Get weird. Your guests will thank you for it.

Got an idea for an out-of-the-box event activity? Share it with us on Twitter using the hashtag #DisruptThePanel.

Ever attend a conference? Then it won’t surprise you to know that every event planner out there wants to disrupt the panel conversation. (We’ve been experimenting with the format for years and sometimes a panel is still the best choice.)

There was a lot to celebrate. We’d launched an innovation lab and piloted new products as part of a larger, multi-year collaboration to expand the organization’s human-centered design capabilities and enable culture change.

And our collaboration had revealed something crucial: In order for the product to be successful we also needed to support the underlying organization, which meant looking more holistically at strategy, process, tools, and incentives.

That became an opportunity for me, an interaction and product designer by training, to apply my trade through an organizational lens. It turned out that the prototyping methods that I had learned could also be applied to people and processes. By experimenting, responding to feedback, and iterating, we could help nudge behavior change within the organization.

Here are the five big lessons I took away:

1. Speak their language

We were working with product managers, engineers, and designers, so instead of explaining what we planned to change with academic research and abstract frameworks, we used language they already understood. We were going to run scrappy experiments, learn quickly, and iterate. If the ideas didn’t work, we’d pivot and try something new. But instead of prototyping products, we were experimenting with people and processes.

Big insight: Meet people where they are. Ground organizational design in a familiar context, and make it tangible in order to build trust.

2. When facing big change, start small

Behavior change is hard. So, we started with small experiments. What was the least that we needed to design in order to learn—the minimum viable product (or MVP)—and to help nudge new behaviors? In one instance, to test our hypothesis on the need for a company-wide training program, we started by creating a workshop for one multi-disciplinary team of 10. Its success soon paved the way for a broader rollout.

Big insight: Organizational change doesn’t have to begin with big initiatives. Starting small with prototypes can lead to big learnings and start to shift behavior.

3. Measure impact in creative ways

Email surveys are an obvious way to take the pulse and determine whether experiments are resonating with individuals, but they can easily fall to the bottom of a priority list. We tested more lightweight, in-the-moment feedback methods. After prototyping a beer and knowledge-sharing gathering, we asked attendees to place a magnet on a board to indicate their responses to a few questions, like: “Would you come again?” and “Did you learn something?” It was an easy and immediate way to figure out if the idea was worth evolving.

Big insight: Simple and in-the-moment measurement tools can be enough proof of concept to move forward quickly.

4. Find the right ambassadors

Early on, I was determined to get all of the senior executives involved in our prototypes. What was I thinking? Their understandably divided attention and packed calendars made that next to impossible. In the end, some young, energetic community managers were the ones who embraced our ideas and helped push them forward. Not only did they have the time and passion for the projects, but they were also trusted leaders within the company. Community managers helped us organize an informal gathering of product people to share methods over beers. (Yes, beer again. When in Germany!) We asked a VP to simply show up. When he saw the overwhelming attendance and impact on the community, he became one of our biggest advocates. Teams that had been working in silos started to meet regularly. The more we demonstrated quick wins, the more senior leaders got on board to encourage new behaviors throughout the organization.

Big insight: The best agents of change may not be the most senior folks. Look for individuals with passion and social capital.

5. Make it stick

There are two things that we did that helped ensure that our ideas lived on after we were gone. First, we found owners within the organization who would commit to moving our ideas forward. Second, we helped create an internal group dedicated to maintaining momentum. This group provides leadership training and coaches teams to ensure both a top-down and bottom-up approach to behavior change.

Big insight: Prototypes are just the beginning. Organizational transformation requires dedicated owners and a multi-layered strategy.

It all adds up to a set of behaviors: Get scrappy, get tangible, find your people, and learn by doing. It never hurts to do some reflection from a rooftop, too.

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Not long ago, a coworker and I found ourselves contemplating the eclectic Berlin skyline. We were on the rooftop of our client’s office—a leading European brand in online retail—and thinking back on what we’d learned from embedding with them for a year.

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.