When it comes to food, we often have to choose between health, convenience, and taste. Parents struggle to get their kids to eat veggies. The same daily salad can become boring or bland over time. Produce often withers in the crisper drawer.

Betterer Foods set out to make one of the world's favorite foods healthier. Rice is a beloved food across many cultures, but many people now avoid simple carbohydrates due to diet restrictions or health concerns. Innovations and alternative options have mostly been limited to products in the freezer section, like riced cauliflower.

Betterer Foods created RightRice: a dry, shelf-stable grain made from rice and vegetables, including lentils, chickpeas, and green peas. RightRice has more than double the protein, five times the fiber, and 40 percent fewer net carbs than traditional rice. But the product still tastes and looks like rice, and is faster and easier to cook.

RightRice founder Keith Belling, the founder and former CEO of popchips, asked IDEO to design a brand that would communicate the product’s benefits. The start-up needed everything from a defined target consumer and brand story to a stand-out package design, website, and go-to-market materials.

The team listened to people's challenges with rice and eating healthfully: home cooks find it difficult to store fresh foods without them going bad, busy professionals are strapped for time when preparing balanced meals, and parents sneak vegetables into dishes like casseroles or mac and cheese. Some consumers say they avoid rice because it’s a carbohydrate, which is forbidden in so many of today’s diets. People describe themselves as “carb phobic” or say they consider rice a “guilty pleasure.” Others don’t eat rice because it makes them feel sluggish or bloated, or is too difficult or time-consuming to prepare. Overall, people wished rice could be healthier, simpler to cook, and still taste delicious.

IDEO translated these insights into a brand foundation that helped RightRice come to life on shelves, online, and in the world. The package messaging emphasizes the vegetable ingredients, and the cut-out window lets consumers see that the product looks like rice. The shape of the window simultaneously forms a bowl of rice and a smile.

Rice is a household staple around the world. The RightRice brand makes it easier for consumers to have health, convenience, and good taste in one accessible product. RightRice launched nationwide in Whole Foods and Amazon in February 2019.

Since this launch, the company has expanded both its reach and product line. RightRice is now available in nearly 5,000 retailers nationwide in addition to Whole Foods and Amazon, including Sprouts, Wegmans, and approximately 1,800 Kroger stores. Over one million bags have been sold.

The company has received numerous awards and acclaim, including being named “Best Plant-Based” by People’s 2019 Food Awards. Building on the success of RightRice, Belling and his team launched RightRice Medley, a blend of RightRice, ancient grains, and vegetables, in 2020. This new product, which features the same branding the company created with IDEO, has doubled the company’s shelf presence at Whole Foods.

After 40 years of rapid development, China's economic growth has reached a critical turning point.

However, looking at the world, today is also the most complex and uncertain era in human history. The traditional engine of economic development is slowing down, while innovation and other emerging ideas are helping the economy burst into dynamism. To ride this trend, China has already put in place comprehensive policies to ensure that the country can achieve this magnificent transformation—not only to maintain economic growth, but also to achieve high-quality development. To this end, what China needs most is a group of new business leaders with a sense of cooperation and innovation to lead and realize this change as a pioneering force.

People of insight can often see the situation clearly with a forward-looking eye. China's society and economy are undergoing transformation and upgrading, and market demands are constantly changing driven by technology. While seeking business development, many mature entrepreneurs with successful experience have realized that they need to explore some of the most essential issues inwardly, including: The original intention and mission of the enterprise and the role that enterprise leaders should play. However, without a systematic approach, transformation and upgrading, strategic decision-making, management mode and cultural construction cannot truly serve the enterprise

As a top institution of higher learning in China, Tsinghua University has always placed an important strategic position on cultivating innovative talents for China. IDEO is the world's leading design and innovation consulting firm. As a pioneer of design thinking, IDEO has always been committed to applying design and innovation capabilities to solve the world's most complex problems. After discovering the need for China's economic and social transformation and the need for innovative leadership by Chinese entrepreneurs, Tsinghua University and IDEO jointly launched the "Leading China" program in 2018. This program is aimed at senior management of Chinese enterprises, and aims to train entrepreneur trainees to use new perspectives and ideas through a one-year innovative leadership course to seek solutions for the systemic changes that need to be achieved in the process of social transformation in China.

The students of the first "Leading China" program came from more than 30 entrepreneurs from 20 different industries. The teachers who participated in the lecture included 73 Chinese and foreign experts including Shan Jixiang, the former dean of the Forbidden City, Masahiro Kuroyama, the father of Japanese industrial design, and Jake Knapp, the inventor of "Design Sprint". As China's first innovative leadership course with design thinking as the core, the project is equipped with "design to open enterprise creativity", "reshape enterprise competitive advantage", "forge innovative business system", "innovate with the help of finance", "embracing Industrial Revolution 4.0" and "Win-win China Created 2030" six modules. The trainees traveled to nine cities in one year, and completed the courses in the interactive teaching of inspiration and the exchange and sharing of practical experience. Many students said that the course not only helped them find the direction and path of enterprise reform, but also improved their way of thinking, strategic planning and leadership models.

Liu Feng, the founder of Top Intelligence, gave an example of the inspiration brought by the six pillars of "vision-led" enterprise reform. Through "vision leadership", he not only sorted out the original intention and values ​​of the company, but also launched a series of measures based on this starting point, which improved the company's various aspects from the telephone customer service process to the organization of the annual meeting, and mobilized the enthusiasm of employees. This greatly improves the company's efficiency and flexibility. Ting Zhihong, chairman of Hongtu Logistics Co., for example, said that the biggest change brought by the course is her awareness of the importance of empowering the team. The company has now built many platforms to give employees more room to play, to create markets, to put decision-making on the front line, and to let employees play the role of company operators. Her company doubled its profits in 2018. Hu Chao, founder and CEO of Leyou Pregnancy and Baby, introduced that what most executive courses learn is knowledge, and what this course learns is people-oriented values ​​and ways of thinking.

The students of the first class of "Leading China" graduated in December 2018. Regarding the course of this year, Wang Jingwei, former assistant dean of the PBC School of Finance, Tsinghua University, commented: "Since the project was launched, we have not only witnessed the true value of design in a business context, but also experienced first-hand the use of people-oriented The difference between the designed executive courses is that the entrepreneurs who participated in the courses quickly entered a state of immersive learning, and many students quickly began to practice the methods they learned in the enterprise.”

On April 8, 2019, the list of winners of the 3rd "Changing the World Innovation Award" was announced, and the "Leading China" project was shortlisted for case nomination, becoming the only Chinese innovation case in the education category. The "Change the World Innovation Award" was announced by Fast Company, one of the world's three major financial and business media organizations.

As one of the world’s leading smartphone manufacturers, the Chinese brand vivo is widely known for its exceptional technological innovation and top-of-the-line photography and gaming hardware. But in an increasingly saturated phone market, vivo understood that it wasn’t enough to lead the pack based solely on technological excellence. To win the hearts of young Chinese consumers, they needed to become a beloved brand.

China consumes roughly 30 percent of the world’s smartphones, presenting a tremendous market opportunity to brands who wish to capture young consumers’ loyalty. In order to achieve that, vivo wanted to design a complete brand experience beyond the devices themselves—one that would express the joyful vivo brand spirit through services and retail experiences. One of their first key initiatives was to build its first concept store in an iconic building in Shenzhen, China.

Before building the concept store, vivo approached IDEO to explore what kind of in-store experience would resonate with young Chinese people. The concept store needed to convey joy in a meaningful, tangible way, while also setting the stage for vivo’s future brand systems. With this in mind, IDEO set out to explore how vivo’s young consumers experience fun.

After conducting research in four different cities, IDEO shared the stories of young Chinese consumers back with the vivo team. Their interviews revealed that young people value experiences that enrich their lives and create a feeling of positive personal transformation. They seek opportunities to expose themselves to new experiences, express themselves in different ways, expand and deepen their social connections, and build knowledge and skills.

Through this understanding of how young Chinese define “enjoyment,” IDEO helped vivo identify the value proposition of the concept store as expressing oneself in new and different ways. The store would allow every visitor to see something unique and find a fresh perspective. The vivo team took that value proposition into a design brief and later built out the space and interactive experiences.

The concept store launched at Shenzhen on March 22, 2019, featuring an upper level dedicated entirely to interactive experiences with photo booths, sound recording, and lighting technology. The engaging, lively and positive atmosphere of the store represents a major milestone in vivo’s transformation from a smartphone maker to a consumer brand.

WATCH: Official launch video provided by vivo.

As China's agriculture moves towards scale and sustainability, helping farmers grow healthier food with resilience is a matter of national economic security and individual livelihoods.

Bayer Crop Science—with its mission to accelerate China's agricultural modernization and benefit Chinese farmers and consumers—has provided high-quality products for millions of growers in China over 18 years. Yet its service relies heavily on multi-layered distributors and retailers across the country. The last mile of Bayer’s product delivery spreads across tens of thousands of highly fragmented retail stores, making the quality of service difficult to monitor and control.

Together with IDEO, Bayer Crop Science aimed to uncover new ways to engage with local farmers and retailers, and develop design concepts for its diverse set of retailers—establishing local relevance as well as the potential to scale nationwide.

With this ambition in mind, a team formed by Bayer Crop Science and IDEO launched into a design sprint in the rice fields of China’s Anhui province. Field research uncovered multiple challenges facing Bayer Crop Science’s retailers. First, each store needed to serve more than one hundred farmers, many of whom rely solely on the store owner to understand how to use the products. Retailers struggled to meet a high daily demand for direct support in a way that provided a positive customer experience.

In turn, farmers felt they had insufficient access to expert advice. While many farmers shared similar needs, there was no system for aggregating requests or arranging group instruction. Given that many rice farmers are illiterate, pre-printed educational pamphlets had limited impact, and retailers lacked tools for providing targeted support. And because the retail stores were also used for storage, little space remained for educational or community programming.

With these constraints in mind, the team needed to come up with ideas and design concepts that could be easily integrated into the daily lives of the retail store owners. The team brainstormed hundreds of concepts and quickly prototyped a select few. One retail store in Dangtu was transformed entirely into a live prototype set. Over three days, more than 50 farmers and retailers came through and provided feedback. From there, the team was able to make daily iterations of the concept, evolving the experience in real-time.

The Bayer team was energized by the potential of these prototypes to enable more customer-centered retail experiences. An exhibition of the concepts was set up during the National Annual Sales Conference of Bayer Crop Science in China, during which a much wider audience from Bayer experienced not only the concepts, but also the immediate feedback from farmers.

One year after the project’s completion, more than half of the design concepts have been included in Bayer's support kit for dealers. In 2019, these concepts will be rolled out in more than 1,000 flagship stores across China.

The work has also accelerated Bayer Crop Science’s efforts to build an ongoing engagement mechanism with its retailers and growers. Its online platform, Bayer Joy Grower, now has more than 10,000 retailers and will be expanded to growers soon.

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.