In 2017, IDEO acquired longtime partner Datascope and integrated the company’s data scientists and engineers. Datascope team members aren’t just passionate data scientists; they’re human-centered designers who happen to work with data, as illustrated by successful collaborations like this one:

If Procter and Gamble (P&G) were a city, it would be the size of Boulder, Colorado. The company employs more than 100,000 people in 70 countries. Its research and development team is made up of more than 20,000 specialists working across locations, languages, and areas of expertise, from cleaning chemicals to paper products to over-the-counter medications.

P&G approached Datascope to help the company connect these researchers to one another and the rest of the organization. In working with P&G leaders, Datascope found that the company needed a better way to access and leverage employee expertise. Managers routinely got requests from researchers looking to work with others in their subject areas, but didn’t know how to identify the right partners or set them up for fruitful collaboration.

Datascope gathered internal data, including unstructured research data on the scientists’ interests and who they partner with most often. The team used that information to develop two new systems that bridge the gap for P&G researchers and managers. The first is an internal search engine that lets managers quickly find and connect the right experts across P&G offices worldwide. The second is a data visualization tool that highlights subject areas ripe for more collaboration among experts and research teams, who may already be asking similar questions. This intelligent tool can surface relevant, timely information managers need to connect their teams.

P&G already had a practice of collecting information for product research, but it wasn’t until Datascope came on the scene that the company took advantage of large, multi-layered data sets and made them more intelligent, so leaders could expand P&G’s expertise through new global partnerships.

In 2017, IDEO acquired longtime partner Datascope and integrated the company’s data scientists and engineers. Datascope team members aren’t just passionate data scientists; they’re human-centered designers who happen to work with data, as illustrated by successful collaborations like this one:

The second a smartphone debuts, buyers, bloggers, and journalists begin writing comments and reviews—and users start troubleshooting. Motorola Mobility wanted to tap into this river of data, but didn’t have the right tools to collect and respond to it.

Motorola’s design, engineering, and service teams hoped to identify product problems early, address them quickly through customer support, and ultimately fix them in future releases.

So Datascope built a custom engine that aggregates and analyzes feedback from hundreds of millions of phrases and internet references, drawn from consumer sites, user forums, news coverage, social media feeds, and product reviews. The tool parses key, product-specific information and routes it to the right Motorola teams: hardware, software, connectivity, and interface design, to name a few.

The analytics and visualization engine not only studies product performance in real time, but it also uses algorithms to gauge customers’ emotional reactions: Do they like the phone or hate it? Do they have complaints? Are they recommending it to friends?

Datascope’s tool translates all this data into simplified to-dos that are sent to the correct service and repair staff before user issues can mar a product launch or even the company’s reputation. And as engineers discover more about how a phone performs in the real world, they learn how to avoid making similar mistakes in the future.

The tool proved valuable as soon as it launched in 2012: When Motorola released the RAZR M smartphone, customers had a hard time figuring out how to use wifi and voice features at the same time and lodged complaints online. The engine recognized the pattern of complaints and alerted Motorola's customer support team, which was able to post responses with clear instructions in every relevant forum, turning a potential customer satisfaction problem into a positive interaction.

Motorola continued to use the engine to address issues in later releases of the RAZR M. The advance warning made engineers’ lives easier, while better handsets and software made for a more seamless customer experience. Improvements were also evident in the RAZR M’s well-reviewed next generation, the RAZR MAXX.

Based on the tool’s success, Motorola used it to improve the company’s supply chain and product development process. And beginning in 2014, with the Moto 360 smartwatch, Datascope’s analytics engine has been used to gauge performance and public sentiment not just for new smartphones, but for Motorola Mobility’s entire line of products.

For most parents, ensuring their child’s proper nourishment is a top priority. But that’s not always easy, especially for parents on the go. Plum Organics, an organic baby food company, set out to solve that problem by providing families with pureed fruits and veggies in pouches, making it easy for them to feed their babies. Plum approached IDEO for help designing a non-pouch package that could showcase the vibrancy of the ingredients within.

By conducting research and in-person interviews with families, Plum set out to ensure that the new product was both desirable and functional for parents and their babies. By joining families in their homes, IDEO was able to gather essential insights that helped inform prototypes and the final design, like the fact that nothing can replace the feeling of making an intimate connection with a child through spoon feeding; that baby food is often wasted if a parent can’t remember how long a product has been in the fridge; that families struggle with how to spoon-feed their children on the go without making a mess, and that both parents and retailers were concerned that baby food jars don’t stack securely on shelves.

With those insights in mind, the team designed a transparent bowl that allows consumers to see the natural color of Plum’s vibrant, organic food. A resealable lid makes it easy for parents to store food between feedings, and the container includes a feature that allows them to track the day that they opened the pack to ensure that they don’t end up throwing away perfectly good food. Lastly, the new package is easily and safely stackable and includes a divot in the lid for parents to rest a spoon on, making for a much cleaner and more sanitary feeding experience.

Baby Bowls for Plum are now available at retailers nationwide and are a natural evolution for the brand, helping Plum continue to provide high-quality, organic baby food for consumers and their children, even if they’re eating on the go.

Accessing our genetic code is as easy as spitting in a tube, but how can we benefit from all that DNA data? IDEO surveyed more than 1,000 Americans about the gene sequencing services they want. "Give me things I can act on,” one respondent said. “Give me advice, action plans, apps, and tools. Information is just air until I can put it to use." As it turns out, tools that can translate our genetic information into better life choices—to improve our health, chart our family history, or even find an effective exercise routine—are hard to come by.

Inspired to organize and apply the wealth of genetic data in all of us, Helix envisioned the first online platform for products that offer insights based on a person’s unique DNA sequence. The startup’s founders approached IDEO to help them get to launch by identifying their future market segments and designing their brand and product offering.

Helix sequences all 22,000 of your genes from one saliva sample—sent in a mail-in kit—and hosts a marketplace of products developed by trusted brands and innovative developers that explore your health, ancestry, entertainment, family, fitness, and nutrition. Similar to the Apple app store, Helix lets you pay individually for the products you want and is a platform for developers to launch new offerings over time. After you've provided a DNA sample once, every product in the Helix store is made available to you on-demand. So, as new products are launched and new discoveries are made in the field of genomics, the data from your original sample is all you’ll need to keep exploring your personal genetic insights.

IDEO engaged a range of users, including early adopters of at-home genetic tests and “quantified self” enthusiasts, and surveyed potential Helix customers across the country. That qualitative and quantitative research validated Helix’s “app store” business model and provided key insights into the products people were most interested in.

Through the partnership, Helix uncovered what users need most from a genomics company:

• to prioritize the accuracy and privacy of DNA test results
• to encourage a sense of discovery and exploration of our genes
• to celebrate each individual’s unique qualities

A team of ethnographers, data scientists, and designers at IDEO helped direct the startup’s brand approach (including its name, Helix) and crafted a blueprint for how the company connects with customers and presents its product. The Helix store launched in July 2017.

Our DNA used to be a mystery—something we guessed at by observing our parents. Now, easy access to our genetic code—and the tools to truly understand it—arrives on our doorstep.

What they found through their conversations took them a bit by surprise. There was a deeper malaise afflicting everyone they spoke to—something under the surface, under the symptoms.

Loneliness.

Months into a pandemic, the isolation that’s always been below the surface is even more extreme. It was in this context that I had the pleasure of talking with Dr. Murthy. We spoke about what leaders can do to facilitate connection, and why it is mission-critical for organizations to address loneliness and support relationship-building, even when we’re physically distant. Especially when we are physically distant.

I'm sharing some excerpts from our conversation here. I hope they inspire you and prompt useful explorations into the health of your communities.

Three types of loneliness

The feeling of being isolated from each other, Dr. Murthy discovered, is at the root of so many of our deepest ailments. He reminds us that we are social creatures, and that community heals us. Especially in these divided times, the way to a more happy and healthy society is both obvious and profound: human connection.

Connection in the workplace

Our professional lives—the experience of working and the quality of what we do—is heavily influenced by what’s going on in their rest of our lives. Yet there’s a hesitance to be vulnerable, share challenges, and ask for help. As a result, colleagues sometimes miss opportunities to help one another. It’s a loss, because through helping each other, we deepen our bonds. Empowering employees to help each other can be one of the most powerful ways for organizations to strengthen their teams.

The potential for something better

While our present moment lays bare how technology can isolate us and ideologies can divide us, it also shows us that new ways are possible now and in the future. My conversation with Dr. Murthy explored the role design can play in creating human-centered systems that make us all feel more connected—from the scale of individuals and teams, all the way up to systems, institutions and governments. We all have the power to design conditions that prevent loneliness, cultivate community, and foster good health.

The strain on our systems caused by COVID-19 reveals an opportunity to take new approaches to our work and our infrastructure— from how the government sets policies to how businesses empower employees. In rebuilding the world post-pandemic, we need to keep in mind the tangible benefits that human connection can support: mental health, physical wellbeing, academic and professional success. We can design policy to optimize human connection, ensuring our government recognizes these principles when thinking about housing, public health, or education, for instance. The question for leaders is, what changes are required to create connection and maintain cohesion, even as our structures and processes shift? The opportunity for leaders now is not to go back to how things were, but to imagine something better…and make a new “normal” built upon what supports us as, as Dr. Murthy points out, social creatures who need care and connection.

Original photograph by Meredith Nierman

There’s a story in Dr. Vivek Murthy’s book, Together: The Healing Power of Human Connection in a Sometimes Lonely World, about the tour he made across America in 2015, while he was U.S. Surgeon General. One of my colleagues at IDEO, Ann Kim, served as his Chief Design Officer and joined Dr. Murthy’s team as they set out to learn about the health crises gripping the nation—opioid addiction, chronic disease, violence—from the people who were suffering the most.

As pixels become a hidden quality, what would it be like to expose and celebrate this tiny landscape? Maybe it’s some sort of nostalgia for the pixel, but I thought it would be fun to prototype a game where part of the gameplay is uncovering this “hidden world” of pixels inside these new displays—and so the world’s smallest pixel art game was born.

Looking through the loupe

To start the project, I needed to see these tiny pixels up close. I bought a cheap jeweler’s loupe—basically a magnifying glass—and pressed it up against an iPad. Things looked promising with a 10x loupe. The level of magnification allows you to see the individual pixels, but still see a decent amount of the play area around the character. However, if your eye is pressed against the eyepiece of the loupe, it would make touch controls a challenge because you can’t see anything but the small area in the magnifying glass. To work with this constraint, I wondered if I could make the loupe itself the controller for the game.

The way iPads and most tablets sense touch is using a “capacitive touchscreen.” This type of display creates a grid of areas that hold electrical charge. When a fingertip touches the screen, the charge at and around the point of contact decreases, communicating where the finger is to the tablet. Electrically conductive gloves and styluses are able to work on these screens because they allow the properties of your finger to extend through the conductive material. So using the same idea as a conductive stylus, I put some aluminum tape on the loupe to transmit the capacitance from your fingers to the display. This allowed a player to move the loupe around the screen, and through doing so, interact with the game.

Exploring a tiny world

Next, I needed to develop the game. I borrowed from some of the classic role-playing-game tropes from games I played as a kid, building out a landscape that included many different climates—a desert, a lake, a forest, a deep forest, an ice tundra, and more. I created a tiny character that the player guided around the landscape by moving the loupe.

The idea is that the whole game is played on a single static overworld screen that never moves—you can explore an entire tiny world without ever moving more than a few inches. There are even a couple of fun ways the character interacts with the environment. For example, the player can force the character to fall into the lake, where he splashes around and quickly jumps out. I also created a hidden cave that shows how a game might work with inside and outside spaces that can be explored.

Overall, I’m pretty satisfied with the way the experiment turned out. There’s something about looking through the magnifying glass and into this new world that brings back some of the awe and wonder that came with exploring new worlds on my Nintendo when I was growing up—it just goes to show that screen technology doesn’t need to be pixel perfect to transport us.

Chart your own pixel territory

Want to try it for yourself? Here’s how to get your own version of this experiment up and running:

1. Build the loupe controller

Get a loupe, and some aluminum tape. I made two separate “T” shaped pieces of tape, and wrapped them around the edge of the bottom of the loupe. This metal transmits the capacitance of your body down to the edges of the loupe, simulating two-finger touch.

2. Load the game

There are two ways to do this. First, make sure you have Unity, then download the project from Github. You’ll also want to install the Unity Remote app on your tablet.

To quickly test the project, you can plug the tablet into a USB port on your computer and open the Unity Remote app on the tablet. In Unity on the computer go to Edit > Project Settings > Editor and select the tablet. Then press the play button at the top of the main Unity window and the game will appear on your device. This will let you try things out but it will be very slow to react and move the character because it’s running on the computer and sending each screen as an image over the USB connection. More detailed instructions can be found on the Github project page.

Alternatively, if you want to run the application natively on a device at a reasonable speed, you will need to follow the directions on building for mobile to set up your device with Unity.

Either way, once you’ve gotten the game up and running, you’ll have a good sense of the game mechanics and can go into the project to edit it to create your own tiny world—changing things like the landscape and character actions, creating new characters and interactive objects, and even extending it into an actual game. Happy exploring!

A quick shoutout to some of the great resources I used to create this demo:

• Tiled: A fantastic tool for creating tiled backgrounds for 2D games. This was extremely helpful for putting together the overworld.
• Tiled2Unity: This tool helps bring the tiled data into Unity seamlessly.
• opengameart.org: A great repository for free to use game art assets. My main tiles were modified from surt’s Blowhard Chronicles.
• rm2kdev’s 2D Unity RPG Development series: A super helpful video series on developing 2D games in Unity.

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When’s the last time you had to design for something as small as a pixel? In recent years, with the advance of retina displays on computers, tablets and phones, it’s easy to forget that pixels are still the building blocks for everything you see on the screen. (These new displays still use pixels; they’re just so small they can’t really be seen.) In the past, user interface designers had to build to pixel-perfect precision to avoid blurry aliasing effects and issues with displaying fonts on lower-resolution screens; today, this is all but a thing of the past.

Designers prototype everyday. It’s an essential part of the design and development process that involves translating early ideas into tangible prototypes that we can test in real life with real users. Prototyping is about being able to understand a challenge or an opportunity and find creative ways to move toward a solution, step by step. Essentially homing in on “building the right thing,” before “building that thing right.”

But the prototyping process doesn’t have to be limited to what you do for work. In fact, bringing this approach to your everyday life has the magical effect of turning common challenges into moments of playful exploration. It’s not necessarily about finding the ultimate answer, but enjoying the opportunity to experiment, improve, and learn along the way. You can prototype anything as long as you have the right mindset and get creative with your tools.

Here’s what it looked like when a sous-vide experiment took me down a prototyping rabbit hole (and how it could take you down one too).

Step 1: Get inspired

Inspiration can come from many places, like frustration with tools or objects that are not easy to use or the simple joy of creative exploration. For me, the latter happened when I stumbled across a recipe that used sous-vide, the technique of slowly heating meat or fish to its perfect core temperature so it doesn’t become dry or overcooked.

I thought it would be fun to try out for a dinner party, but didn't want to invest in a professional sous-vide machine. A typical moment where my prototyping obsession kicks in…

Step 2: Start out low-fidelity

An essential step while prototyping is identifying the simplest way to obtain the intended result—to achieve more with less. Isn’t the sous-vide technology just slowly heating up ingredients and stabilizing the temperature over a long period of time? That seemed pretty simple. So I gathered my materials: heat-proof bags, an electric thermostat, and of course, a couple of beautiful steaks.

I sealed the steaks in the heat-resistant bags, put them into a pot of water and used my oven to heat them up to 53°C/127 °F (the perfect core temperature for a medium rare steak). Unfortunately, the thermostat of a regular kitchen oven is relatively inaccurate, with the actual temperature being ±10°C/18°F compared to what it shows! That can make the difference between your meat being bloody as hell and completely overcooked.

That meant I had to place myself in front of my oven for over two hours, staring at the tiny LCD display of my electric thermostat and manually balancing the inaccuracy of the oven by turning the temperature up and down.

Step 3: Analyze your results

The good news: the meal was perfect—the meat medium rare—and my friends were impressed. But sitting in front of my oven, watching a thermostat for multiple hours, was less than ideal. This was the perfect starting point for the next iteration—looking into ways to automate and refine the temperature stabilization and improve my personal user experience.

Step 4: Iterate on key features

That’s how I found myself on a Saturday afternoon hooking up a simple heating rod, my electronic thermostat, and a milk stirrer with an Arduino board.

I mounted my thermostat to the top of the pot and coded my Arduino board to activate the heating rod as long as the temperature of the water bath stayed below 53°C/127 °F. Triggering the milk stirrer every once in a while ensured that the temperature stayed consistent throughout the pot. My prototype ran this process every 10 seconds and freed me up to focus on other parts of the dinner preparation while delivering another round of perfectly cooked meat and fish.

Step 5: Repeat until satisfied—or pivot

Each iteration of a prototype will reveal more detailed feedback and help you get closer to an actual solution. That’s why prototyping is the best way to learn while moving forward, and to de-risk decisions on product innovation or bigger investments.

Using my sous-vide prototype several times helped me identify multiple opportunities to improve it, like how to make it as compact as possible for easy storage (a great design and prototyping task in itself!). But most importantly, by using the prototype, I realized that I missed the sensorial experience of cooking. Simply waiting for ingredients to reach their core temperature in the water bath felt like an artificial, chemical experiment and was not the rich sensory experience I was looking for when spending time in the kitchen on weekends.

So I decided to pivot. After not using the prototype for months, I disassembled it and freed up the components for my next prototyping rabbit hole. Even if the sous-vide prototype actually never made it into a final solution, it helped me better understand what I enjoy most about cooking, and taught me something that I’m sure will be applicable to a future experiment—because the prototyping obsessive’s job is never done. Now, on to the next project!

On a Saturday afternoon (pre-COVID), I found myself in my kitchen, hooking up an Arduino board to a heating rod with one hand, and handling an electronic thermometer and a milk-stirrer with the other. How did I end up here? A hunt for the perfectly-cooked steak—and a typical result of my obsession with prototyping.

For years, I’ve watched smart companies buy into big data. Yet despite huge investments, some of them fail to reap the rewards. A 2017 MIT study revealed that 63% of executives expected to see a large impact on their offerings from AI in the next few years. But of the 14% of executives who reported already seeing a large impact, most cited examples in automation, decision-making support, and operational diagnostics for internal capabilities. Those kinds of advances can contribute to higher profits and short-term differentiation, but operational efficiencies do not generally help organizations grow beyond their peers. They also aren’t the deciding factor that will carry you through a yo-yoing economy. So how, exactly, do successful organizations unlock sustained and differentiated value in an AI-enabled world, at a time when immediate change may seem necessary just to survive?

It starts with experimenting and iterating with data—in a responsible way— to find your organization’s unique value proposition. Intentional experimentation mitigates the risks of failure by ensuring that you learn which data skillsets are critical to your organization, while at the same time identifying product-market fit. It’s a process that can happen before, during, or after a broader digital transformation, and there are three different ways to approach these intentional experiments: scaling internal offers, piloting to stretch, and purposeful venturing.

Scaling internal offers

In 2004, a web design company called 37signals needed a project management tool to keep all of its work streams on track. Initially, its solution—Basecamp—was meant to be a tool that would help the company be more efficient, and serve as a single source of truth for all its projects. But the more valuable it became internally, the more the company realized that it could be valuable externally. Eventually, Basecamp became 37signals’ core business; it adopted Basecamp as its name, and folded other offerings under the new brand.

Scaling internal offers is a smart way to create new revenue streams that can also help drive an organizational purpose. It’s a particularly good approach for companies that value creating internal capabilities and investing in their employees.

Another example comes from a liability insurance company that had recently gone through quarterly reviews. The company took a deep dive into large lawsuits, setting case direction and identifying where liability existed and standards had been breached. These observations were used to set financial reserves and, after months of manual curation, create risk-management training materials. While this company had already developed a technique for improving best practices, leveraging data to create a digital tool would give them an opportunity to scale up dramatically. The resulting in-house product allows the company’s claims and risk management representatives to rapidly identify new and emerging trends, as well as strategize case management on the portfolio level, saving thousands of human hours and much more in lawsuit expenses over the course of a year. With a bit more refinement, the firm could offer a version of its tool directly to policy owners, which could allow them to adopt best practices in real-time.

Piloting to stretch

A classic example of this approach comes from Netflix, which started offering streaming video services in 2007, alongside their penalty-free mail order DVD rentals. When the streaming service was born, it was a digital replica of the video store experience, browsing and selecting movies from a wall. But as Netflix accumulated ever more data about what people watched and their preferences, the streaming service became a data-driven way to personalize and recommend content, better fulfilling its purpose of “entertaining the world.” In fact, developing this data-driven capability in-house has given them sufficient insights into viewers’ preferences, which they are now using to create their own content, dramatically shifting the entire media landscape because of the data they own.

Piloting to stretch is a method of launching a new venture that brings in cash and stretches the organization to more intentionally fulfill its purpose. Often, that can require an entirely new business unit, with a new culture and team, so that it can grow without absorbing existing constraints. This approach is particularly appropriate for organizations that are seeking a new lever for growth, or are looking to disrupt their industry.

For Ascensia Diabetes Care, it was about recognizing a service gap for patients newly diagnosed with type 2 diabetes. Most people, shortly after receiving their diagnosis, are scheduled for a brief consultation with a certified diabetes educator (CDE) who helps them learn the basics of managing the disease. But the short time a CDE spends with a client isn't nearly enough to establish new habits and enable sustained lifestyle changes. Ascensia saw an opportunity to create a new remote care service that would allow people with diabetes to interact with CDEs over a prolonged period of time through a telehealth platform, helping them better acclimate to their condition. To design the right program and path for each patient, Ascensia created data-driven tools that would help CDEs know how and when to interact with users. Initially, the company piloted the app with 60 people, and early results showed that users were willing to adopt and adhere to the program. 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%.

Purposeful venturing

Google may have started as a search engine, but in 2015 Alphabet emerged as an umbrella organization that made space for Google to pursue other ventures, some that might seem far beyond the scope of the core business. Alphabet’s interests— everything from life science (Calico) to transportation (Waymo)—are all in service of doing the right thing, and separating Alphabet’s other ventures from Google kept them from getting mired in particulars of the Google organization. This nimbleness has allowed Alphabet to fulfill its broader purpose, even during the extreme uncertainty of a global pandemic; the company quickly launched one venture, Verily’s Project Baseline, to research COVID-19, while Google and Apple have partnered to develop an exposure notification system.

Purposeful venturing is a way for an organization to create new business lines that drive growth. These ventures operate independently, with their own teams and cultures, and may require dramatically different ways of working that would be distracting for the core business’ operations. It’s a good fit for companies that might have many different ways of achieving their purpose, or for firms that can create symbiotic effects with auxiliary offerings.

In practice, it can also look like this: A nimble venture firm called 1848 Ventures (a subsidiary of Westfield Insurance) recognized that staffing is one of the biggest uncertainties business owners grapple with. Over-staffing eats into their already razor-thin margins; under-staffing means long lines and lost revenue. By rooting their innovation efforts in their purpose—to help their customers mitigate risk and uncertainty—the firm saw an opportunity to create a service that would help small businesses better manage their expenses through a tool that combines large data sets and an intuitive interface to optimize operational decisions. This new product was piloted with restaurants to help them offset the thin margins they need to survive.

Regardless of whether you experiment by scaling internal offers, piloting to stretch, or purposeful venturing, there are ample opportunities to simultaneously unlock product-market fit while getting a better grasp of the capabilities your organization needs to grow. Design offers a way to mitigate the risk of missing product-market fit and improve your odds of success in a way that dovetails with your existing capabilities and long-term vision. So after you pick your path, get out there and start prototyping early and often with data products, just like you would with anything else. It’s the best way to make sure that your data investment will push you past operational efficiencies, to sustained and real growth.

Illustrations by Nate Kitch

Over the past six months, the pandemic and the economic uncertainty it ushered in have sent companies in every industry flailing; to survive, many have leapt to major digital transformations. Scrambling CEOs have bought into the hype around data and AI that has been swirling for the last decade, all in hopes of making it to the other side. It’s a smart move. Even in a moment as stark as this one, with no sure path to a return to normalcy, data has the potential to ethically deliver unprecedented value to consumers, organizations, and shareholders. But just because the potential is there doesn’t mean the full value of these investments is being realized.

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.