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.

Designing for Public Services is a toolkit for policymakers and those who deliver public services, developed in collaboration with Nesta, a U.K. innovation charity, and Design for Europe, a design and innovation program co-funded by the European Commission. The tools and methods included allow users to get to the heart of the needs of citizens and civil servants.

The processes and supporting tools, which have been tried and tested in government agencies from Singapore to Qatar, the U.K. to the U.S., can be applied to designing policy and citizen-centered services.

Download the toolkit here.

Spying on Harriet the Spy, Kid Design Researcher

During design projects at IDEO, we often seek inspiration by looking at the world through someone else's eyes. One of our favorite children’s book characters is Harriet the Spy, and we asked ourselves, What if you could see New York through Harriet's eyes? She’s the original design researcher—setting out with her notebook to observe the subtle ways her neighbors behave.

As it turns out, a real estate site has already tracked down Harriet's address: 558 East 87th Street. If you pay a visit to her apartment, look up to the third floor, right under the eaves. According to the book, this is the perch from which she peered down at the street and recorded notes. We were curious to see if any of Harriet’s neighborhood hangouts still exist. Carl Schurz Park, where she lost her notebook, still sits on the East River at East 86th. Harriet reports that the Gregory School, where she was a student, is right nearby, so many people assume it is based on Chapin School, two blocks away. Harriet spies on delivery boy Little Joe Curry from an alley behind the Dei Santis’ grocery store on York Avenue at East 86th Street. Though that shop is now a restaurant—denying us the vicarious thrill of peeking through the window where Harriet did much of her spying—visiting her old haunts sent a spike of childlike joy through us, and transported us to a time when a book could open up an entirely new world.

Koneko Cat Cafe

Koneko Cat Cafe is a relatively new spot on the Lower East Side where customers nibble on Japanese pastries while lounging with an adoptable clowder from Anjellicle Cats Rescue. The cats roam free between rooms on two different levels, lazing on designer cat furniture or swatting at the many cat toys provided for visitors. Everyone can engage in a different way: playing directly with the cats, doing other work with the bonus of being surrounded by felines, or striking up a conversation with humans who have the same affinity for cats. Koneko’s founder toured 25 cat cafes in Japan to get inspiration for her own place. Koneko is similar to Japanese cat cafes, but has a more sophisticated interior design with curated art on the walls. As one visitor told the New York Times, “I have a cat, so I feel a little dirty coming here. It’s like going to a strip club if you’re married.”

Tiny Doll House

We know many designers who find pleasure in miniature things: miniature spoons, miniature post-its, you name it. Hidden in the middle of a long residential block on the Upper East Side is a miniature heaven: Tiny Doll House. It’s a store that sells dollhouses, as well as dollhouse furniture and supplies: miniature nightstands, candelabras, and even equipment to electrify a dollhouse. The store sources miniatures from Europe and South America. Immediately after stepping inside, your imagination is fired up. Peek inside an English Cotswold Cottage—next door to a Riverside Townhouse. The attention to detail and passion that goes into each one is simply astounding. Even if you’re not passionate about decorating dollhouses, you can use these supplies for making terrariums, architectural models, or prototyping small versions of design projects. You can buy tiny Thanksgiving dinner sets, caskets, Starbucks coffee mugs, garlic presses, bunk beds, broken eggs, beaux arts desks, and everything in between.

Header image courtesy of Koneko Cat Cafe.

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Our designers, anthropologists, and architects are professional wanderers. And we don't have to wander far in NYC to find inspiration—it's right outside our door. Here’s where we’re headed this fall.

One way to achieve this is with art. I love the phrase “design is art with rules.” If that is true, can we then assume that “art is design without rules?” If design requires restraint, art requires exploring ideas with abandon. I believe that tapping into that abandon can positively affect our design work.

Here are three ways to use art to shake up your design process.

1. Gallery Immersion

Take a break from your project and visit an art gallery. As you walk around and look at the pieces, consider the questions the artist is asking, or solutions they are proposing. What new rules of gravity or physics have they created? What rules have they broken, and what laws have they upended? Now consider how your project would exist in this world. How would things change, what would be possible? What would you create?

2. Image Provocation

Draw inspiration from art without ever leaving work. Curate a slideshow of images, then present them to your team as a prompt for idea generation. While not as experiential and serendipity-friendly as roaming a sculpture park or an art gallery, the right selection can still provide valuable fuel to a design team. Try using Visual Thinking Strategies to get coworkers to engage in a deeper way.

3. Create your own artwork.

Just as we can find inspiration by making insights tangible, making art in line with the project theme can also be valuable. Pull out the watercolors, pastels, or even the prototyping materials. Grab some old shirts from secondhand stores to use as smocks and transform the team from designers to artists. Have a team spend an hour of quiet, focused time creating a work of art that explores the project content. The goal is not to create a solution, but an expression. Then have the team share their works. Create a “gallery walk.” The resulting art may fall short of masterpiece status, but the head space that was explored will create new considerations and possibly new directions for the project.

Sometimes, the design thinking process can become a little too linear and predictable. Most great innovation involves a shift in perspective, a moment when our everyday point of view is turned upside down, and the team finds a new way to approach a challenge. Getting to that shift requires some disruption of the predictable flow of a project.

It’s an AI that listens to a designated Slack channel (more or less a chatroom) to keep tabs on who is WFH, who has a dentist appointment, and who needs a spot only for 90 minutes next Wednesday. Report your parking needs in Slack, and the bot assigns (or de-assigns) a parking spot. We named it Lotbot.

We also mounted cameras — we named them cargoyles — to visually detect open spots that the chatroom would inevitably miss. The Lotbot and the cargoyles communicate directly in the chatroom like two people.

We even built a little website that visualizes our parking lot (and the current weather). We keep a screen near the front desk so that the community can sense the demand on the lot in real time. It was perfect.

Except, it wasn’t. When we first built Lotbot, we expected that the humans in our studio were going to tease and bully it to test its limits, much like people do with Siri and Alexa. We had to make it clear that Lotbot was in charge. Too many misunderstandings, and we could end up in chaos. People with nowhere to park. Spaces that are empty all day. Dogs and cats living together.

So we decided to train Lotbot, and make it tough. We started with an isolated chatroom, so that we could gradually prepare it for the real world. We copied over all the chatter from our parking channel, and helped it categorize and understand each post. Over time, it made very few mistakes. Eventually it made none.

We then tried to anticipate ne’er-do-wells in the channel. We had a list of the usual suspects and guessed at their meddling. We predicted (accurately) that one person I won’t name (Gian) was going to throw fake spot numbers at Lotbot. Another (Lopper) would demand lengthy conversation. One particular individual (Paul) held the potentially troublesome opinion that our parking chatter was a form of performance art. We worked to specifically prepare Lotbot to handle these provocateurs, as well as anyone who tried to make backdoor deals in the Slack channel. There would be no trading of spots without Lotbot’s approval. So we gave it a rogue personality, with a take-no-prisoners approach to parking spot assignment.

To our surprise, when we first introduced Lotbot to the Slack channel, it was feted with many emoji. Rather than tease and poke at Lotbot, people said, “I love you.” But love them back, it did not. Lotbot must have reamed out half the people in the channel within a day. Rather than a passive AI assistant, Lotbot was a force to be reckoned with.

I rushed to lobotomize Lotbot’s aggression, but the damage had been done. Lotbot was now the strongest character in the channel. And it was putting the smack down.

It was then that I realized I had made some fundamental mistakes in building our AI. For one, I shouldn’t have isolated Lotbot as it was learning. Since “it takes a village to raise a child,” I should have introduced the bot to its village at a much younger state. It would have helped us feel the shift in interpersonal dynamics early on. We should have iterated on the dynamic, rather than trying to predict it.

We also underestimated how well our colleagues would treat Lotbot—its misdirected temper actually endeared it to the team. When it made mistakes, people wanted to help it out. But Lotbot, the spoiled child that it was, didn’t know how to accept. One morning, Lotbot went completely off the rails. Someone tested its French, which wasn’t very good. Then, another “helpful” person tried to help resolve things, at which point Lotbot lost it. It told her to cease at once, and then started throwing spot assignments at her. It was such a dramatic scene that two fans of the parking channel turned it into a play that they performed in front of the entire studio.

I should have realized that Lotbot would need to continue to adapt and learn. Our invention is still our responsibility, and we’re often checking in to see what it’s saying and doing. But at least that’s a lot easier than checking up on the parking lot.

Over the last few months, the drivers and Lotbot have managed to work together smoothly. But winter is coming. Here in snowy, slushy Cambridge, demand for parking is going to get intense. For better or worse, Lotbot is about to have more power than ever.

Illustrations by Carlos Ruiz

The chaos began the day we moved into our new building. A little plot of land outside was the scene of the terror. Not only was our Cambridge parking lot too small for the number of people in our office—21 spots for about 60 employees—getting spaces for clients was a pain, there was a pile of poop in spot 16 that even a car couldn’t clear, and a neighborhood transient liked to sleep in spot 20. Instead of managing the workings inside the office, our employee experience team was suddenly tasked with assigning parking spots. It got so bad they were often working as a valet service in addition to their day jobs.

So we built a bot to do it for us.

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.