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.

In an effort to be more conscious of our own health and the health of our planet, we’re being told to eat a plant-based diet, while, at the same time, lab-grown meat is gaining traction. How do we wrap our heads around all of it?

We think design can help. But a few things have to shift if we’re going to drive the global food system toward greater sustainability. At the consumer level, it’s about supporting people to make healthier decisions about how they eat. At the level of large companies or complex systems, it’s about helping organizations reinvent themselves, ask bigger questions, and make more thoughtful changes from within.

In either case, change isn’t easy. To help our clients in the food space get inspired and energized, we often recommend looking for insights in unexpected places—we call it “analogous inspiration.” It’s easy to get caught up in what you already know and mired in the same cyclical ways of thinking; to innovate, you have to break out.

Here are a few ways for folks to innovate in the food landscape (and beyond):

1. Design for emerging behaviors

During a recent project to help a global beverage company think beyond its current business, we set up interviews with people outside the industry, including one with a company that makes charging stations for electric vehicles. When the car charging company was just starting out, leaders assumed they would follow the model of gas stations by building stand-alone charging stations spread throughout a city. That’s how people had fueled cars for decades, right?

But it turns out consumers don’t want to stand around for 30 or 40 minutes while their cars charge; instead, they want to fold charging into another errand, such as a trip to the grocery store. Because their lives are increasingly complex, they want to streamline wherever they can. This insight prompted the charging company to completely rethink its approach.

Though the beverage businesses has nothing to do with cars, seeing the charging company’s abrupt change in tactics to address a human need inspired our client to think far beyond existing consumer behaviors and to advocate for big changes in the business model.

The takeaway: Instead of taking the established route, innovators should be on the lookout for new and emerging behaviors that indicate an alternative path to designing for the future.

2. Get up close and personal

A lot of living happens outside of conference rooms and surveys. In order to capture what’s really on folks’ minds, we often spend days or weeks shadowing people and looking for unconscious behaviors that can influence how we design for them.

Recently, we were working with a baby food company looking to expand its line of products. We met real customers and shadowed them for days—at home, on their commutes, while shopping, and when preparing food. By traveling on the subway with them during feeding time, watching them buy groceries, and sitting with them in their homes, we noticed how many workarounds they used when feeding their infants and a few common issues they faced with existing baby food.

These insights, while seemingly small, helped inform how we designed our client’s food packaging. It was the little observations we made by diving in head-first with parents that enabled us to create a feeding experience that feels a bit more parent-centered.

The take-away: Double down on real human interactions and don’t overlook the small stuff. Sometimes, subconscious behaviors and common workarounds indicate the need for a redesign.

3. Look beyond your industry

When you walk into a hotel room, you’re often greeted by signs encouraging you to save water by reusing your towels or foregoing a change of sheets. While no longer new to most of us, these reminders were fairly revolutionary when they first appeared and have helped to save millions of gallons of water since.

When we set out to help the Rockefeller Foundation find ways to reduce food waste, we looked for examples of waste reduction in other industries, including hospitality. Hotel signage cueing visitors to reuse towels is more than just a pesky reminder to save water; it’s a way for people to incrementally change their behavior while feeling like they’re a part of something bigger for the betterment of the planet. In this case, understanding what motivates people resulted in a drastic drop in water waste.

With the Rockefeller Foundation, we tapped into data around food waste and were able to use it to predict human behaviors and test subtle changes in a number of industries. Hyatt Hotels prototyped some of this thinking in their buffets—by switching from whole cakes to individual sweets, for example—resulting in a 10 percent cost savings for the company and an enormous reduction in food waste.

The take-away: Instead of looking within your own walls for inspiration, look outside to other industries and sectors to see how they’ve solved similar problems.

We've found these three design approaches useful. Have other ideas? We’d love to hear them! Tag @IDEO and use the hashtag #designforfood.

The world of food contains all kinds of internal tensions: On the one hand, we’re faced with hunger and food shortages, while on the other we’re fighting an obesity epidemic.

And as with any technology, AI can have a dark side, too. Whether it's Cambridge Analytica exploiting personal information for political gain or Northpointe developing prejudiced algorithms for bail and sentencing hearings, danger lurks.

This is a moment for design. A moment for us to imagine the kind of future we want to see. What might it feel like?

To explore those questions, and give shape to the immense benefits that intelligent machines can bring to our lives, work, and society as a whole, we created a speculative design exhibition for Munich Creative Business Week called Hyperhuman.

Here's a peek at the products:

The Purpose Compass

What if a machine could help you better understand your strengths? What if it could help you succeed in a machine-augmented future?

Armies of robots already populate the factory floor and digital lawyers write our contracts. As intelligent machines become a fixture in every aspect of our work and lives, they inevitably start challenging our contribution to society, begging the question, do humans still matter? What is our purpose?

The Purpose Compass helps you determine your unique worth in the future. It understands what you are good at and helps you decide what to focus on to stay relevant, productive, and happy in the long term. Turn towards larger purpose goals—teaching, leading, inventing, or caring—to set a course and learn which skills you'll need to pick up to get there. Over time, many skills will be automated, freeing you up to learn new ones.

Purpose is shaped, not given.

The Expertise TV

What if a machine could identify gaps within an organization’s knowledge and help you figure out how to fill them?

We have unprecedented access to information, but the sheer volume of it prevents us from gaining deep understanding of a wide range of topics. We either specialize in a specific field or become generalists, making assumptions to fill the gaps in our expertise.

Enter Expertise TV: Twist its knobs and it instantly directs you to experts whose knowledge sheds light on unanswered questions that are holding your organization back.

Knowledge resides in people, not machines.

The Creativity Mixer

What if you could describe your personality, and ‘mix’ a visual identity that expresses you?

Even with a creative mindset, people often lack confidence and ability to shape and express their ideas at the highest level.

What does your brand look like? Turn the dials of the Creativity Mixer (produced in collaboration with creative.ai) to set your personality ("playful," "stubborn") and it calls up images, fonts, and colors for you to use when executing ideas. When settled with your choices, hit print for your very own brand style guide.

Creativity is latent, tools make it accessible.

The Empathy Writer

What if you could find the exact right words to express your feelings? And nothing got lost in translation?

Our globally connected lives mean we’re frequently brought into contact with people from different cultures and backgrounds.Despite the opportunities these networks present, we often struggle to communicate, as we are not equally fluent in the other’s language and don’t share the same cultural
mores.

What if you could find just the right words to express your feelings? And nothing got lost in translation?

The Empathy Writer helps you convey what you mean in a way that will be easily understood. Using the character trait tiles, I describe myself and you, then the machine helps me compose a message in a way that reflects who you are.

Empathy is amplified.

The Belief Checkout

What if tomorrow’s supermarkets considered your values and ethics when automatically buying products for you?

We outsource more and more tasks to AI. But how do we know that the decisions AI makes on our behalf are aligned with our beliefs and values? How do we impart them to the machine?

The Belief Checkout’s shelves are full of products that represent values. Pick the ones that reflect you to help steer the supermarket’s algorithm. Say you value sustainability. While eating red meat may not sound like a sustainable choice, eating an overstocked steak might be. The supermarket can help you make choices that square with your values.

We let go of control, but our beliefs stay in tact.

Hyperhuman was a collaboration between IDEO Munich, London, and Chicago. To find out more about our Protopian perspective on augmented intelligence email europe@ideo.com.

We’re in the midst of a revolution. Intelligent machines are able to augment our humanity in ways that seem lifted straight out of science fiction. Self-driving cars, bipedal and quadrupedal robots, even our thermostats learn from us and get smarter over time.

I took this picture at the train station right next to our Palo Alto office. At first glance, I thought it was an unusual fashion statement, but then I realized that the woman in the picture solved a common problem in an elegant way: When your bike lacks a chain guard, your pants can easily get stuck and you risk destroying them—or even causing an accident. By wearing a cut-off sock above her pants she kept them protected from the chain. By going with a chartreuse sock, she made sure she wouldn't be overlooked in the aggressive Bay Area traffic.

Unfortunately, I discovered this helpful little hack the day after I ruined my favorite yellow pants with chain oil. But don't pity me too much; in the end my dry cleaner saved my day, and from now on, I'll always carry a cut-off sock with me.

Human-centered design requires us to observe human behavior with beginner's eyes, so that we can spot the innate ways people interact with the world around them. We call these intuitive and unconscious reactions Thoughtless Acts, and IDEO designers collect photos of them to inspire their work.

In exploring the topic, I soon realized the issue was not the lack of stuff he would leave behind when he passed away, but rather quite the opposite. Today, a digital information overload is present for almost all of us.

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As the techie of the family, I’ve taken on the role of digital archivist for two close loved ones we’ve lost over the years. My brother died in 2003, and 15 years is a very long time ago in technological terms. Nonetheless, I was able to build an archive of his photos, MP3s, school papers, personal documents, and other digital fragments. I felt closer to him because of this.

Today of course, we have social media, and it’s a cultural trope to say that we live out our lives publicly on it. But social data only represents a limited and curated self that we share with the world. Our digital footprint is vast. Beyond our social data, we have our emails and chat histories, the photos and videos we take, the photos and videos others take of us, and our web searches—all of which are rich with metadata, including time, date, and location.

IBM estimates that humanity is generating 250 billion gigabytes of data every single day, and that 90 percent of all the data ever created by mankind has been generated in the past two years alone. In just two years, we’ve surpassed the volume of the entire record of human knowledge from cave paintings up until the end of 2015.

Consider that we’ve only had photographs for a few generations. I can look back at this photo of my young grandfather and his rugby team in County Sligo, Ireland, but we have no photos of his grandfather. Until quite recently, most of humanity never had any record of how their ancestors looked—something we take for granted today. Even the written word was not always ubiquitous; just 200 years ago it’s estimated that only 12 percent of the world’s population was literate.

The digital records for people over a certain age are inherently incomplete, but the younger you are, the more complete your picture is, whether you created it yourself or it was captured by your parents as they documented your childhood to share with Grandma. In the historical blink of an eye, our digital footprints have gone from spotty to distinct—a complete picture of our online lives.

This begs the questions: What if we left our digital footprints behind intentionally? How might we curate, filter, or amend our digital records as we plan for our own end of life?

There are a number of emerging technologies and techniques that can help us design our digital afterlives. If you’re interested in training a chatbot to mimic you, you can begin today with Replika.ai, a bot that learns to be more like you the more you use it. The team behind it has even open-sourced their underlying chat tech on GitHub.

VocalID is a company that allows people to preserve their vocal legacy by recording a set of voice samples. Its primary customers are people who lose their voices—for example those with ALS or Parkinson’s. Could people give these voice samples to family members after their deaths, or request that their voices die with them?

Beyond text, researchers at the University of Washington have shown that with a broad enough set of video samples, we can train an AI to create entirely new video clips of the same subjects. And emerging technology called “deep fakes” can use machine learning to swap faces in online videos.

Synthesizing Obama: Learning Lip Syncing from Audio. University of Washington.

The collision of our immense datasets with rapidly advancing abilities in machine learning is not only inevitable, it’s happening now. Roman Mazurenko is a digital avatar of the real Roman built by one of his grieving friends after his death. Anyone can download it/him from the app store.

This is not about the singularity or transhumanism; I’m not talking about uploading my consciousness to the cloud to create Virtual Sean. But rather, how might our loved ones experience us differently after we pass?

In the future, we’ll have new ways to preserve more bits and pieces of ourselves— our voices, photos, texts, etc.—and new ways for our loved ones to experience this ephemera. There will be new challenges as well. Much of the data we create is invisible to us and is not under our direct control or ownership. When we pass, this data will live on, whether we like it or not.

I expect that you might be simultaneously intrigued and concerned by this topic; that’s to be expected. But just as we must one day face the end of our lives, we must also grapple with our digital identities and digital legacies.

Let’s get the dialogue started.

A few months ago, my cousin asked me about his digital legacy. He asked how his kids could explore his personal artifacts—his ephemera—in the digital age, when there are no vinyl records, physical photographs, or even MP3s to hand down.

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.