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.

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.

But we recognize that convergence, too, is an opportunity for creativity. These moments can contain sensemaking—the finding of patterns or shifting of perspectives that brings your team to a new, shared understanding of what you have and what lies ahead. In making choices, you are collectively committing to a common vision of what the future could be. It can feel optimistic, unifying, and clarifying. And we know it can be extra challenging to converge when you’re not all in the same room.

I started writing this piece a few months ago, before COVID-19 forced a lot of folks to shift from working in offices to working at their kitchen tables. I’m of the mind that every meeting deserves a warm-up, and I believe it’s even more true today. If your team is working remotely, they’ll be (virtually) walking in from a greater diversity of physical and mental places (for example, perhaps they’ve only taken 72 steps today and their brains and bodies have turned to video-call-induced oatmeal), so creating the conditions for focused, convergent work is even more important.

Here are 4 warm-ups to help your team creatively and remotely converge:

1. Rank this

Instructions: Before your meeting, using a live collaboration tool, set up a spectrum (a simple horizontal line will do) in the virtual space. On the left, write “least”; on the right, write “most.” Pre-create 3-4 Post-its or colored squares per person. Place them off to the side.

To begin, have everyone type a noun in each of their stickies. Then have one person propose an adjective and add it to the top of the spectrum. (If your adjective is crunchy, your spectrum would be least crunchy on the left to most crunchy on the right.)

As a group, as fast as you can, collectively sort all the noun stickies along the spectrum of that adjective. (For example, sort all nouns according to where they fall on the scale of least to most hairy, grumpy, or miraculous). Attempting to do it all at once should feel like joyful chaos.

Pick out a new adjective and re-sort, reminding folks that anyone can move any Post-it, not just their own. Go through a few rounds until laughs abound.

Why it works: Prioritizing is a critical and challenging part of convergence. And it is made even harder when the options you are deciding between feel like they exist on diametrically different axes. This warm-up will help you get comfortable in the ambiguity that is comparing apples and oranges (or perhaps even apples and orange shoes).

2. Goodbye, hello

Instructions: Ask everyone to come prepared to the meeting with a pen and something to write on.

Before you dive into the content of your meeting, have everyone reflect on something they let go of last year and capture a quick sketch of it. Then, separately, have them draw something that was able to fill that newly open space. Have everyone go around and share their drawings by holding them up to the camera.

Why it works: Saying no can feel like the hardest part of convergence, especially when people feel ownership over or connection to the ideas on the table. This reflection exercise will help folks remember there’s power and opportunity in choosing what not to do—because it allows us to focus more energy on the things we do choose to do.

3. Object convergence

Instructions: Ask everyone to come prepared to the meeting with a pen and something to write on.

Have everyone sketch a noun—things like a stapler, a mother-in-law, a glass of water—then go around and share. Pair people up and give them 30 seconds to brainstorm and find a new noun that connects what each individual drew (for example, stapler + glass of water = anchor). Have them do this using the chat function on your video call platform. Multiple conversations will be happening in the chat. But don’t worry, that adds a laughable challenge. Once each pair finds their linking noun, have one person sketch it, then go around and share.

Pairs pairs into quads and have them repeat the process, finding what connects those new things (anchor + lemon = scurvy). Repeat until the collective group has arrived at a single object that has united them entirely. (Hint: like in a game of telephone, this will likely look nothing like any idea anyone started with.)

Why this works: The way forward may not look like choosing person A’s idea or person B’s. It may require finding a third way that draws from the best of both. This warm-up will help you avoid the Frankenstein compromise, where, rather than making decisions, the team mashes all of the ideas together, and dilutes them all to uselessness in the process. In this exercise, teams practice the skill of looking beyond individual ideas to a higher connecting goal or purpose, and collectively aligning on this new vision.

Convergence can feel heavy. This will bring a bit of levity to the process, allowing your team to find the optimism and energy to build on one another’s ideas moving forward.

4. Shake it out

Instructions: Have everyone stand up and close their eyes. Then give these directions, while doing it with them: Reaching out all around you with your hands, shake them vigorously to manifest into the space the multitude of what if’s, what could be’s, and fears of the future. Now, use a pushing motion, clear a bubble of safe, fresh air around you. All together, let’s take a deep breath in and ground ourselves in this space.

Having everyone close their eyes creates an important sense of safety. No one can look like an idiot if they can’t be looked at. Worried that people have stopped wearing pants to video calls, and won’t want to stand up in front of their camera? Have everyone turn off video first, then give the instructions.

Why this works: Our physical state is intricately connected to our mental state. So often at work we ignore our physical bodies, thinking them a distraction, nuisance, or simply irrelevant. In the world of working remotely many of us spend our working hours glued to a screen, ceasing to exist in the three-dimensional plane. Getting your body in the right place (and remembering it exists at all) will help get your mind right too.

It is not infrequent that a team gets to a point of convergence and all feels like a swirling mess of hypotheticals. This warm-up will help create the mental clarity and space to step back and find the broader picture.

Go forth and prototype

Decision-making can be hard and stressful. You’ll probably have to kill some darlings. But you don’t want your team to walk away feeling unheard because the phrase most commonly used in your meeting was “we can’t.”

If instead you can galvanize them—catalyze their creative, collaborative brains in finding and forging the path forward—you will leave with teammates bought into a future they want to build together.

Take these warm-ups and hack them, make them your own, and iterate on them. How can you prime your collaborators to optimistically say “no” to make way for “yes,” find a third way forward, and see past the chaos to clarity?

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When I say “creative meeting,” what comes to mind? What’s the energy like? What are you and your colleagues doing? My bet is that you’re imagining a brainstorming session. Generating ideas. If you’re lucky, it’s joyful, full of potential, and exhilarating. What I’m guessing you’re not thinking of? Those moments where you have to make decisions. Prioritize, say no, and shut some doors. At IDEO, we call this part of the process convergence: the refining and focusing of options to move forward with a strategic set of choices.

Many say the food system is broken. But the problems that people, the economy, and the environment suffer as a consequence of the system aren’t so much a sign that it’s broken as that it wasn’t designed to generate good outcomes for the world we live in today. We shouldn’t try to fix the existing system but rather design new structures that nourish us.

Design unites what is necessary and desirable from a human point of view with what is technologically feasible, economically viable, and environmentally regenerative. We live in a world of intertwined, inequitable systems—food, education, health, and more—where the problems are dynamic, multifaceted, and inherently human.

By designing for adaptability, trust, dignity, and agency, we can build a more resilient food system.

Designing for Adaptability and Trust

Today’s system was designed for efficiency: We’ve built machines to harvest rows of a single crop, consolidated farms and processing facilities to achieve economies of scale, and established highly specialized supply chains.

COVID-19 has revealed that this efficient system is rigid—it can’t adapt to new conditions. People are trying to help: Grocers are buying produce from farmers and donating it to food banks, and restaurants are repackaging their bulk purchases into household meal kits. But it’s not sustainable to purchase extra food to donate or convert 50-pound bags of onions into smaller one-pound bags.

An adaptable system requires many changes, from digitization of operating systems, to more transparent data sharing, to improved distribution of food to where it’s most needed. Investment in processing and logistics infrastructure closer to farms is key, thus designing redundancy back into our highly consolidated system.

There’s also value in examining what makes the current system work and carrying these elements into a new structure. One positive enabler of today’s efficiencies is the network of trusting relationships that farmers have built over time.

Due to COVID-19 and other factors, it’s impossible to build new relationships in person. Farmers can’t travel to meet buyers. Instead, building on existing trust, farmers need innovative ways to establish new partnerships rapidly. Farm2People is helping farmers and fighting hunger by designing for adaptability and trust. The platform enables produce to be directed toward those who need it by connecting farmers to buyers and donation recipients.

• How might we design for trust in a contactless world?
• How might we look to circular economy models to rethink the supply chain?
• How might we apply technology to rapidly build relationships?

Designing for Dignity and Agency

The system’s resilience depends on the resiliency of those who power it. The essential workers who make the food system run are at the greatest risk of illness and the lowest paid. Many are people of color. Society’s racist systems—including the food system—have marginalized Black, Indigenous and people of color and left them more susceptible to the health and economic challenges of COVID-19.

The pandemic demonstrates how essential these individuals are and how tenuous their livelihoods are. Given the nature of their work, it’s impractical for farmers to maintain the social distance necessary to protect themselves, and for some employers, personal protective equipment is too expensive to provide.

Solutions have been swift and well-intentioned but short-term. Some restaurants created campaigns raising money to cover employee costs, and Portugal extended temporary residency to migrant farmers so they can access health care. Workers will need employment that can withstand advancing technologies, like automation, which will require training in a new set of skills. This is not just a food crisis but an education crisis. The interlinked nature of our systems means that solutions must have broad scopes and address multiple factors to be sustainable.

We have an opportunity to design for dignity and agency.

• How might leaders share the responsibility for worker livelihoods?
• How might we empower workers by having them design solutions for what they face?
• How might leaders help the industry become one of continuous learning to enable professional resilience?

No one knows what will happen. But as today’s system demonstrates, we know our actions will have impact for years to come. By designing for adaptability, trust, dignity, and agency, we can build a more resilient food system.

This essay first appeared in the Milken Institute’s Power of Ideas collection focused on building and rebuilding lives in the face of the COVID-19 pandemic. The essay series features insights from thought leaders across industries.

With hotels and schools closed, farmers are destroying millions of pounds of produce they can’t sell. Despite this waste, the number of people with food insecurity could rise from 130 million to nearly 300 million due to COVID-19. This estimate doesn’t address the millions whose means of making a living have evaporated. These challenges, while exacerbated by COVID-19, existed long before.

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.