Increasingly, digital spaces are proving detrimental to youth mental health. By co-designing with youth, Kooth and IDEO set out to flip the script, creating a positive digital space for young people to safely explore their mental wellbeing. 

When Kooth, IDEO, and Blackbird, IDEO’s longtime development partner, first started working on the project, the window of opportunity was narrow, and the stakes were high. The group was up against a nine-week deadline to create a working proof of concept app. Also on the line: a $188 million contract with the Department of Health Care Services (DHCS)—one that would open an entirely new line of business for Kooth. 

The app needed to do more than demonstrate functionality—it needed to prove its value. To ensure that they were creating an asset that truly fit the needs of young people, the team turned to an initial cohort of 13-25 year-old co-designers who explored early features, created video diaries, and shared their questions about and experiences with mental health. These young people often gravitated toward self-service tools that helped them take action based on their feelings. With their feedback, the team created new expressions of clinically-validated behavioral health tools like journaling, breathwork and white noise—and built novel tools, such as Starboard, an expressive drawing tool and a nod to art therapy. 

The team took inspiration from content the co-designers liked to consume, such as story-driven video games that enable freedom of exploration, deepened by a unifying mythology. That led them to a constellation theme, which made the experience more intriguing and playful. The co-designers also recommended a dark color palette, because they preferred exploring the app at night. 

With these insights, the team refined the proof of concept, and then conducted a one-week pilot with another 50 young people across California. Their positive feedback gave the State the confidence to invest in a $188 million, four-year contract for Kooth to bring the app to a platform at scale. 

Over the next year, the team engaged another 150 young people to help design, shape, and test the app. At the same time, Kooth and IDEO created a clinical oversight group, which included a pediatrician, therapists, and other clinical specialists. This group anchored the platform in the practices of Acceptance and Commitment Therapy (ACT), cultivating psychological flexibility—the mindful acceptance of positive and negative emotions. Young people are invited to complete short reflections and surveys throughout their journey with the app, which includes rigorous, science-backed measurements to assess the therapeutic benefits.

Behind the scenes, the team developed a clinical-facing service and digital platform that empowers Kooth’s peer specialists, social workers, community curators, and clinicians to support the youth experience, all while protecting privacy and confidentiality. They also navigated a complex landscape of state requirements and government legislation, ensuring that the platform could cover topics like substance abuse and gender identity, and that users could access coaching within 24 hours, and choose from a diverse set of experts. 

The last step was to select a name that worked across multiple languages, trademarks, and competitor branding, and didn’t come off as a mental health service, something the youth co-designers believed was critical. IDEO and Kooth landed on Soluna, a name that alludes to the app’s presence in both the bright (“sol” for sun) and the dark times (“luna” for moon). 

Now, Soluna is available for free to all youth in California, and the state has set ambitious targets for reaching all young people at scale. Soluna is a living platform that will continue to receive product and design updates for years to come, all deeply rooted in youth co-design.

The US Surgeon General named mental health “the defining public health crisis of our time,” and cited social media, online bullying, and the isolation exacerbated by the COVID-19 pandemic as major drivers that have significant negative outcomes for youth.
‍

In California alone, more than 284,000 youth cope with major depression. 66% of kids with depression do not receive treatment. Between 2019-2020, the suicide rate for kids ages 10-18 increased by 20%.
‍

In 2022, California Governor Gavin Newsom’s Master Plan for Kids’ Mental Health set aside $4.6 billion to increase access to mental health and substance abuse support, the largest commitment to youth mental health ever made by a state.

94%

of proof-of-concept app users would recommend the Soluna app to a friend, and believe that engaging with the app would be a positive addition to their daily/weekly routine

6 million

young people in California had access to Soluna at launch in January 2024

Creating a better cervical cancer screening experience is an important mission, but also a challenging one. Not only would Teal have to address the regulations that face healthcare device companies, it would also need to build a comprehensive telehealth platform and a physical product—a wand that could easily collect an adequate cell sample, even in the hands of an untrained person. 

The first challenge was to create the wand. The device would need to do a lot: It’s impossible for a person to see their own cervix, so the user would have to be able to find the cervix blind, collect the sample themselves, and remove the wand from their bodies without contaminating it on other parts of their anatomy. Because this is something users are likely to do in their bathrooms, where there is no space to lie down, they would need to be able to use the device while standing—and with one hand. From the beginning, the IDEO team set out to design functional, testable prototypes to make sure the idea was viable, and incorporate diverse voices into the research process, including trans, minority, and disabled women. 

Because the product is meant for people who aren’t medical professionals, the team worked to design something as simple, intuitive, and unintimidating as possible. They used a 3-D printer to create multiples of every prototype, autoclaves to make sure that the designs they were creating were sterile, and leaned into shapes women are already used to, like the cylindrical shape of a tampon. The wand they created has that same basic form, but with a soft sponge that the user can deploy with the turn of a dial to collect the sample, then close to protect it from contamination on the way out of the body.

With working prototypes in hand, Teal set out to test their efficacy. In an initial study with 220 participants varying in age, race, socioeconomic status, and geography, Teal found that not only were participants able to successfully self-collect samples, they also preferred them over the speculum, the device doctors typically use during a screening. Some 92 percent said if they knew the results were equal they would prefer self-collection, while 87 percent reported they would stay current with screening if Teal Wand was an option. Self-collection took the vast majority under two minutes to complete, and 97% of study participants reported it was very easy or easy to use. The Teal Wand recently received a patent for its unique design.

The IDEO team also worked on the packaging and unboxing experience, which plays an important role in supporting the user through the self-screening process. The team built in thoughtful design cues to give users reassurance that they are using the wand correctly, and to provide the same level of confidence they would have in the results of an in-clinic screening. 

In January 2023, Teal raised an $8.8 million seed round from Serena Ventures, Emerson Collective, and Metrodora, and later that year, launched a nationwide clinical trial with leading health organizations including Johns Hopkins University, Yale University, the University of Colorado, Washington University, and others. In 2025, The Teal Wand became the first FDA-authorized device for at-home cervical cancer screening, with virtual medical provider support. Today, it's available in all 50 states. i’s an enormous step toward its North Star: catching cervical cancer earlier and saving lives.

Cervical cancer is nearly 100% preventable when it’s caught early, yet one in four women in the US are not up to date on their screenings.
‍

More than 12,000 people in the US are being diagnosed with cervical cancer every year, and more than 4,000 people die of the disease, which disproportionately impacts Black, Asian, and Hispanic women.
‍

More than half of cervical cancer cases are found in women that are not up-to-date on their screenings.

97%

of clinical study participants said the Teal Wand was very easy or easy to use.

87%

of participants said they would be more likely to stay current with screening guidelines if Teal Wand was an option.

94%

of participants said they would choose to collect their own sample from home rather than the current standard of care where a clinician collects it in-office.

2025

The Teal Wand becomes the first FDA authorized device for at-home cervical cancer screening, with virtual medical provider support.

Cities United already had a strong foundation with its stated mission, vision, and values. IDEO brought those to life with a new visual and verbal brand identity system that celebrates Cities United’s inclusive approach to building relationships and reimagining public safety.

To help Cities United with its verbal identity, the IDEO team defined the organization's voice, tone, and key messages, making it easier to tell its story more consistently and clearly, a crucial step toward engaging stakeholders.

To define the new visual identity, the team created a new logo, a letter C composed of interwoven shapes that represent the three tenets of their vision—“safe, happy, and hopeful;” a new design language that references city grids; and a typographic system anchored by the typeface VTC DuBois, inspired by W.E.B. DuBois’s own custom lettering and designed by the Black-owned Vocal Type Co. The team also designed a color palette that embodies the textures of city life with hues reminiscent of asphalt, sunrise, and brick. 

To amplify the refreshed branding, the team designed a new responsive website, citiesunited.org. The intuitive site shares the organization’s mission, resources, ongoing projects, and partner network, inviting stakeholders to join in their transformative work. IDEO also created a video to humanize Cities United’s mission and showcase its nationwide impact. It underscores the unity, resilience, and hope embodied by the organization through a chorus of voices.

This comprehensive rebranding widens Cities United’s reach and impact, helping the organization share its goal of creating safe, healthy, hopeful communities for young Black men, boys, and their families, and reintroduces the organization to a national audience. 

The Cities United work was supported by IDEO’s Racial Justice Impact Fund, part of a commitment IDEO made in 2020 to ​​address systemic racism and advance equity within our own organization, our client work, and beyond.

Cities United is committed to reducing the epidemic of homicides and shootings among young Black men and boys ages 14-to-24 by 50%.

Between 2009 and 2019, the number of Black children who “did not go to school at least one day in the past month because they felt unsafe at school or on their way to or from school” increased by 84%, according to Cities United.

Homicide is the leading cause of death for Black men and boys from birth to age 44, according to the Centers for Disease Control and Prevention.

2023 SF Design Week Award

In recognition of IDEO’s brand work with Citizens United

Sleep is a critical resource for shift workers—and their employers, too. Together, IDEO and Somni worked directly with people with acute and chronic sleep challenges to create concepts that could support their sleep goals, and provide employers with the means to improve employee health.

When IDEO and Somni first partnered, the startup was an early-stage company, so the team started small, with focused sprints and workshops to redesign the core aspects of the company and product offerings. The team interviewed shift workers about their sleep patterns, which can vary quite a bit. Even when people keep to a specific schedule on work days, they often have to change their patterns on days off to spend time with family and friends, leading to a very disruptive sleep cycle. Research revealed that many third shift workers were dealing with sleep and health issues, but also a pervasive “machismo” culture,  pressure to “tough it out,” and a reliance on energy drinks to deal with lack of sleep. 

To address those issues, the team designed a digital experience for sleep cohorts, support groups where members could share their experiences and sleep strategies, and work with a coach and sponsor who already had been through the program. The platform analyzed workers’ data, and provided AI-enabled recommendations for improving their sleep. The big takeaway? Data by itself wasn’t necessarily helpful, and could be confusing for folks who were less digitally-fluent. Providing context, like a calendar that displayed sleep experiments at a glance, was crucial. 

The IDEO team also created a new user experience for a genetic testing program that could uncover factors associated with sleep issues. Somni aims to use a saliva-based genetic test to monitor for DNA damage caused by circadian disruption, then leverage its sleep improvement program to prevent further damage. Because biomarker testing is a differentiating offer for Somni, it was extremely important that the team get it right, both to make sure that users could understand its utility, and for Somni to provide real value. The design challenge was unique—and not just because of data privacy concerns. Presenting data about DNA damage in a non-human-centered way could increase the anxiety workers had around their sleep.

At the end of the project, Somni leveraged the insights the IDEO team surfaced to improve products like its sleep coaching service, and to refine its biomarker testing offering. Based on this work, Somni has also created a pilot with a Fortune 100 company, which is currently in progress, as it works to mitigate the ill effects of disrupted sleep for employees and the companies they work for.

In the short-term, circadian rhythm disruption leads to an array of jet-lag-like symptoms, and in the long-run, it may contribute to weight gain, obesity, metabolic syndrome, type 2 diabetes, and cardiovascular disease.

It also impairs people’s ability to work, affecting productivity, creativity, and the overall work environment. Productivity loss can lead to employer baseline healthcare costs that are 26% higher, and over time, insomnia can result in an average cost of $4,267 more per employee per year.

In June 2019, the International Agency for Research on Cancer classified shift work as a probable carcinogen.

75%

user retention in Somni's sleep program

$2,450

savings per year per employee for users who complete the program

33%

improvement in sleep quality, and 41 more minutes per night

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.

‍

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.

‍

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.

‍

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.

‍

In this episode, Becca Carroll, IDEO's Chief Strategy Officer, talks with Sida Li, co-founder and CEO of Shared Context Lab, about staying anchored to a human need while the technology around her keeps changing shape, why she treats her business model with the same rigor she'd bring to a product, and what it feels like to build a company at this particular, disorienting moment in AI.

‍

The conversation also gets into how Sida makes design decisions: the language Cue uses to describe itself, the tradeoffs behind building inside iMessage instead of a new app, and a real story about a business idea that didn’t pan out.

‍

This is the second in a two-part series profiling founders from IDEO's Startups-in-Residence program. The first conversation is with Johannes Seemann, founder of Sooner, on designing GenAI for the emotional side of money.

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.