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.

Two years, two photography classes, and a few countries later, I did a deep clean of my hard drive. Between filing away evidence of big parties in tiny apartments and hundreds of nearly identical photos of elephants, I realized that I had taken a lot of pictures of couples. Not five or 10, but closer to 100. And not of people that I knew, but of complete strangers.

On their own, these photos could have been easily overlooked amidst thousands of snapshots of friends and family, but seeing them all together gave me a rush of giddiness and warmth. So, I set out to gather more and began posting the shots on Instagram.

As soon as I launched the account, publicly declaring my habit, I found more and more moments of tenderness in everyday life. I shot from a distance to maintain a layer of anonymity and focus on the transfer of emotion rather than the individuals themselves. My intent wasn’t to get the story behind the shot, but simply to collect these unprovoked and unpolished moments. And as I collected, my definition of public displays of affection expanded to include heads on shoulders, joint selfies, synchronous footsteps—even the imagined closeness of two people standing in proximity to one another. I've found love on street corners, in subway cars, and at national monuments. Instead of walking around with my head down, I was discovering tiny moments of joy in the world.

And the more I found, the more I felt like at any given moment, anywhere in the world, hundreds of people are holding hands, or touching arms, or leaning in to each other. The act of looking for love led to finding it, which led to actually feeling it.

Head to @lookingforloveblog for your fix.

A few years ago, I spotted a tear-off paper flyer stapled to a telephone pole that read LOOKING FOR LOVE. Every tab had been pulled.

However, more data means more time spent managing data. So about four months ago, I pulled together this little helper, an automated assistant that I coded to save our design team a little time. We even gave it a little personality to make living with it more fun.

The bots

The inspiration for this bot came from our Chicago team, which was working to develop a health monitoring app for smartphones and watches, and wanted to include a prototype messaging system. Rather than spending time coding a system that would automate responses, they hooked up the Slack interface to a service that would send and receive text messages. The result was a system that allowed a non-technical design researcher to send targeted messages directly from Slack, freeing up the developers to work on the next challenge.

Meanwhile, in London, we were tracking the daily travel of more than 40 people. During the course of the project, we recorded more than 160,000km of driving, so we built a bot to help us keep tabs on our fleet. Each time a journey was complete, the bot would post a note into a special channel, allowing the whole team to see the activity without having to log in to a separate system. The bot also helpfully included a direct link to a separate dashboard, in case anyone wanted to dig deeper into the data.

The tech stacks

Chicago's bot was part of a loop that connected each of the participants’ smartwatches directly to a design researcher:

Each day, participants would log their activities using Siri’s voice-to-text feature. Siri then transcribed the voice message, and the text was sent to the database, where it was time stamped and stored. From there, a copy was sent to Slack, where each participant showed up as a team member in the chat interface.Then the whole stack reversed, allowing any member of the team to send a message to the participant. Each day, the design researcher simply had to send a normal Slack message and it appeared on the participant’s smartwatch.

We found their workaround really inspiring, so when we started our travel behavior project, we looked for similar ways to save time.

To start, we opted to store each trip in Parse. Once a drive was complete and recorded, we used Parse's Cloud Code functionality to send a message to Slack using the Incoming Webhook integration. The result was a message from the slackbot each time a drive finished. Cloud Code allowed us to format the message with a link back to the data, so it was easy for researchers to click to learn more about each trip. We could format the message however we wanted, so we gave the bot a small bank of phrases to use to add a little personality. We also gave it a few emoji so that it would fit in with the Slack communication style.

These messages popped up in a specific channel. Our team could choose to listen in, or mute it. Over the course of the project, it became a useful reminder that there were real people behind these driving patterns.

What we learned

The Chicago bot showed us that we don’t always need a technical person to manipulate complex systems. Not only did our bot save us time, we were also able to add a little magic to the prototype, which gave our participants a better experience. It also gave all parties—the design team, the client, and a technology partner—a better sense of what was going on, and a quicker way to jump into the data. We’re constantly working to find better ways to collaborate with our clients, and small touches like these make it easier to act on our research. Perhaps the most revealing thing about our adoption of these tools was how quickly we assimilated them into our teams. The new tool went from novel to normal surprisingly quickly.

The future

While adding intelligence to the bots seems like an obvious next step, it could be a dangerous move to outsource too much of our process. After all, we’re here to learn. I'd rather have a legion of simple "toolbots" shaving time off repetitive tasks than software that makes decisions for us, which could cause us to miss valuable insights. Our goal is to empower our teams, not to replace them.

See the London Bot on GitHub here.

Special thanks to Ben Syverson for his help on this post.

We’re always looking for smart ways to learn more in less time. This mentality has led our researchers to push the boundaries of the data we can record in our research process. Alongside the qualitative data we gather from interviews, we also pull together behavioral data collected over longer time periods. We might record someone’s steps per day, or the route they take to work, in order to find insights into the patterns of everyday.

A self-proclaimed “sports guy,” Marc first tried archery at 12. By 18, he was a competitive archer, training 4-6 hours a day and traveling across Spain to shoot arrows alongside the country's best bowmen and women, including members of the current Olympic archery team in Rio, Miguel Alvariño, J. I. Rodriguez, and Antonio Fernandez. (Although the modest interaction designer is quick to shun any comparisons.)

Marc left his custom-made, Olympic-grade bow at home when he relocated to IDEO Chicago for a 7-month internship, but he cheers on his country’s team remotely every night, binge-watching Spanish videos of the day’s competitions on his home laptop thanks to some clever, scrappy, and—ahem—ingenious online “workarounds.”

While firing arrows at a bullseye 70M away might be a thing of the past, archery taught Marc many lessons he pulls out of his quiver as a designer today: honing your technique, being honest about your strengths and weaknesses, staying open to new ideas and strategies, and improvising in the moment. Lessons that also apply to successfully launching a Finger Blaster to nab a coveted banana 10 yards away.

WATCH: The ever-hungry intern takes aim at a midday snack. Video by Sophie Feng.

But, then again, if this design thing doesn't work out, there's always Tokyo 2020!

Marc Exposito was born for the Olympics. Literally. The Barcelona native arrived into the world during the heyday of the city’s 1992 Summer Olympic Games.

Zimbabwe-born Natsai studied architecture at Edinburgh University, then at Central St. Martin’s Material Futures course. There she learned about synthetic biology, and met Dr. John Ward, a professor from UCL’s microbial molecular biology lab. He became a supporter of her scarf project, called Fold.

Natsai is at the forefront of an emerging field, biodesign, that aims to tackle the climate change problems caused by textiles and farming. Fueled by advances like the gene editing technique CRISPR, which is making designing with DNA simpler and cheaper, scientists and designers are looking to harnessing nature itself to ‘biofacture’ everything from leather, to meat, to medicine.

Companies like Bolt Threads are spinning synthetic spider silk, while Modern Meadow is growing meat in labs. Meanwhile Autodesk is creating design tools for the field—think AutoCAD for DNA.

Natsai joined IDEO’s London studio as part of our two week-long Fortnight residency, collaborated with the community here, and shared the resulting scarves. As part of her final presentation, she brought to life the potential of biodesign with a series of five tweets. Here, she explains the speculative future they’re framed in. It is a future in which synthetic biology is shaping brands, products, businesses, and people’s behavior.

Future Craft

“Hyper-specialized hybrid technologies signal the rise of the niche maker. #DIYbio #biomakerspace”

Natsai: I’m really interested in the dialogue between craft and technology. This tweet depicts my own reality: my craft is so specialized that I have to design the tools to create it, and I also have had to learn how to maintain the life that co-creates it, without any precedents to learn from. Imagine a world where our materials are alive or derived from living systems. Every maker will intimately know the biochemistry of their chosen species, and will find new ways of transforming those organisms’ behaviors into truly unique products and processes. We’ll be using other living systems and even amalgamating layers of digital technology to biofabricate.

Service Design

“Who owns your wardrobe? #panasonic4nike”

Natsai: I had a conversation with a colleague about how one might go about democratizing the production of ‘bio-factured’ products. At the time I was thinking about how to streamline the process for scaling up this technology, but he challenged me to think about new models of distribution that tap into DIY culture. Ultimately, his question was: if you can grow your own textiles, then who owns your wardrobe? The hashtag #Panasonic4Nike points towards a future that sees unlikely stakeholders coming together to offer true innovations in designing the products we use, as well as the services and hardware that enable us to do this in a personalized way.

Convergence

“Digitized biology has democratized the creation of complex biological consumer products. #autodesk #synbio #AI #IOT”

Natsai: I understand that not only do I work with a pigment-producing bacteria, but that medium is also a biological sensor. Producing pigment signals a crucial stage in the bacteria’s life cycle. This made me ask: how could we harness living sensors and build them into our everyday environments? The notion of technology convergence is definitely something I see happening further into the future. Wearable technology, household electronics and the Internet of Things, in my view, will expand and come together to create mutually-beneficial ecosystems of bacteria and digital technology.

Metabolic Materiality

“Biofacturing process & biological characteristics of an organism now define a brand’s identity and its business model. #bottomupprimacy #IP”

Working in a fashion context, I am hyper aware of how a brand’s identity communicates. The product itself needs to hold true to the values of the brand. This is the part that gets tricky working with a living technology: at some point I relinquish control to my bacterial colonies to finish the garments—conceptually speaking, I provide the structural parameters. The lack of control is a challenge and an opportunity to design interventions that end up in line with the brand identity. Creativity therefore becomes crucial, to push the aesthetics and craft processes in the development of each garment. Although it’s true of any industry, fashion is a particularly interesting space to consider a business model based on that uniqueness. Even before we think about synthetic biology as a way of manufacturing, designers can and should push innovation beyond a simple “genetically-modified organism 1 fixes problem A.”

Beyond Monoculture

“Happy Kombucha shares rally as merger with Kvadrat announced. #symbioticventures #closedloopsystem”

This really looks at future business models and ecosystems of information and skill exchange. Happy Kombucha actually exists and it’s my go-to for food and beverage bacterial cultures in the UK. They mainly sell starters and toolkits for brewing your own kombucha, kefir water and kefir milk. This tweet is a little tongue-in-cheek: it imagines that their business strategy has evolved to sell the SCOBYs (the symbiotic colony of bacteria and yeast that ferments tea, to make kombucha) as fabrics, leading to a merger with major textile manufacturing brand Kvadrat. It also speaks of the current and future reality of the trade of living organisms.

IDEO Fortnight with Natsai Audrey Chieza from Alexandra Whiting on Vimeo.

Vivid pinks, blues, greens and yellows form beautiful, organic abstract shapes on Natsai Audrey’s delicate silk scarves. But they’re not drawn by her, or silkscreened in a print studio. Instead, the shapes are the life and death of streptomyces bacteria writ colorful on silk, folded into a petri dish, in a lab.

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.