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.

Have you ever experienced one of those mornings when you are in the middle of an argument with your partner at home, but you’re late for work and you can't make peace? This was one of those days.

On my bike ride home, I get a text from her: Buy paper towels, please.

When your partner breaks the silence for something like this, you are either screwed or she is giving you a chance to reconcile. I already had in my head this image of the two of us, speaking words of love while wiping the kitchen counter with the newly bought Scottex roll.

So I enter the corner store down the road and find it. As I walk to the counter I see a bunch of red roses. Come on, cliche? I think to myself.

"I'll take them!" I say out loud. But how do I hold the roses on my last mile home?

It's then that I realize I have the perfect solution. I stab my bunch of roses through the hole of the paper roll so I can hold them under my arm, but no spike can sting me.

You might wonder if I made peace with her when home. I did. And I had also found an approach to conflict resolution. When in doubt, wrap your thorns in something soft.

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.

This requires finding people who are willing to share personal stories that can inspire and inform us as we design solutions. We call this Design Research Recruiting.

It’s a process that requires great trust and great responsibility. We know that if people are willing to let us into their lives, our most important job is protecting their stories and confidentiality. And without speaking with the right people, we can’t do our jobs.

So how exactly do we do this? How do we get vulnerable people just like us—or totally unlike us—to open up their lives and even their homes to us? And how do we protect their confidentiality as we do it?

Successful design research recruiting is equal parts knowing who to speak with and how to reach them. Here are five practical tips for recruiting people for your very own design research interviews.

Make screening surveys real conversations

Screening surveys are a useful tool and an important first step in figuring out whether or not someone is a good fit for your project. But they aren’t always the best way to make someone feel comfortable talking about themselves.

I don’t want screening surveys to feel like a standardized test, so I make sure to structure them like a conversation. I dive straight into gathering stories and perspectives and save the typical stuff, like collecting email addresses, for later.

Ask one or two thoughtful, open-ended questions that get applicants thinking creatively about the topic at hand, such as, “What gets you excited or frustrated about your commute?” Or, “What are some key ways you take care of your health and wellness?” Questions like these make the survey feel more personal from the get-go, and they enable you to understand whether a potential interviewee has opinions or experiences that might benefit your research.

Get the word out on social

IDEO's Design Research Facebook page is our go-to channel for sharing our interview opportunities. People can follow the page and apply for interviews that interest them directly, or share research opportunities with their friends.

These "warm connections"—people who've been referred by friends who feel they'd be a good fit—are key to ensuring interesting and qualified people are signing up to share their stories. Cultivating a strong social media presence and making use of these platforms' built-in advertising tools are powerful ways to reach the right audience.

Give interviewees a preview of what's to come

An on-point questionnaire isn’t enough to ensure you’ve found the person to talk to. Hopping on the phone for a 10- to 15-minute phone chat is the finishing touch to ensure you've recruited articulate folks who are just the right fit. It also helps them have a better sense of your mission and what you’re looking for.

I start the conversation by giving participants an overview of IDEO and the project they've signed up for, then answering any questions they have. This establishes some trust and familiarity before I start asking more about them.

The phone call is also an important opportunity to make sure recruits feel comfortable with what's in store for them—it’s never our goal to just get them to talk to us; we want them to be comfortable sharing their lives, and to feel assured that their confidentiality will be protected.

Keep it confidential

We have to be certain the personal stories people share with us—which can sometimes include intimate details about their lives, like health struggles or the loss of a loved one—are kept confidential and used for design research purposes only, never for marketing or promotional uses. In fact, IDEO is so serious about it that we have a whole book dedicated to the practice.

When I’ve recruited folks to discuss potentially sensitive topics, like experiences getting emergency contraception, I make sure to reassure them that we’ll never share their information. I also send a copy of our consent and confidentiality form ahead of time for participants to review, so they can familiarize themselves with our privacy practices and ask questions ahead of the interview.

Prioritize quality, not quantity

When I first started as a design research recruiter, I was obsessed with hitting target interview numbers. If a team requested eight participants for a group discussion, I felt obligated to recruit exactly that amount. What I didn't grasp is that numbers don't count for much if the group isn't filled with thoughtful, articulate people who can participate meaningfully in a conversation. Worse, a group dynamic can be ruined by one person who hogs the conversation or creates an uncomfortable atmosphere.

The latter once happened during a group discussion on an intimate topic: personal lubricants. Because I wanted to hit the target number, I ended up recruiting someone I wasn’t sure would be a good fit. I figured that they'd be fine in a group setting, but they ended up making comments that made the other participants uncomfortable. The project lead ended up dismissing the participant early, and I learned a powerful lesson that it’s not about quantity. Giving yourself enough advance time to recruit will ensure that you have time to weed out anyone you feel skeptical about.

There are multitudes of interesting people with rich stories ready to delight, surprise, and most of all, inform you. I hope these tips will help you find them.

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As designers, it's our job to solve real problems for real people. To fulfill that mission, we first have to understand what is and isn't working well about a product, service, or even experience—anything from wearing a football helmet to paying a hospital bill to optimizing commutes.

While Lotbot has started to calm down and find its rhythm, another story has emerged. It’s the story of how our studio has adapted to living with a robot. It’s a story about how the design of AI, no matter how small a role it might play in our lives, has implications beyond its intended use—and can even influence the culture of an entire organization.

As a researcher with a background studying and designing human-computer interaction, I was enamored by the social bot. I started observing Lotbot’s day to day operations, and over time, I noticed that while most people were interacting with the bot using commands that it was trained to understand (e.g. “spot today”), a small group of people were holding on to the social norms they’d typically use in interpersonal interactions. This made me think: What motivated people to use words like please and thank you, when they knew that the AI wouldn’t know the difference anyway? And what does this mean for future interactions with robot coworkers?

I launched a full-on design research project. With support from my colleague Justin Wan, I collected quantitative data from Lotbot’s Slack channel to understand how the studio’s language patterns had changed since the bot was introduced. I also conducted a series of surveys and qualitative interviews to understand what motivated people’s approach to interacting with Lotbot.

Here’s what I found—and what it means for how we consider the connection between AI and the culture of organizations.

Language has changed, but we're still holding on to something

Before reviewing the Slack data, I hypothesized that shorter messages of 15 characters or less (“Need spot today”) indicated that the user believed they were interacting with a “robot,” while longer messages (“I need a spot today, please”) aligned with a more human-to-human conversation style. I also looked at the change in frequency of polite language such as please and thank you to see how often people were holding on to human-to-human conversation styles.

It turns out that once Lotbot was introduced to the parking channel, the number of messages that had 15 characters or less increased significantly, while the percentage of total messages using polite language decreased significantly (from 30 percent to 10 percent).

As Danny DeRuntz, the creator of Lotbot, explains, the AI was trained to recognize the basic components of a request—the need (a parking spot) and the timeframe (tomorrow)— so it’s no surprise that our interactions in the channel had started to become more, well, robotic.

The survey data, on the other hand, revealed that some people thought about Lotbot as another member of the studio—they treated it with the same respect they would a human colleague. Others said that they based their interactions on the fact that they knew the rest of the studio was watching. People were conscious of how their commands came across to other human colleagues who do care about people’s attitude, even if the bot doesn’t.

The in-person interviews further supported what the survey highlighted. Those who continue to use polite language are motivated to do so because they feel that it’s important to show gratitude when you’re asking for a limited resource. As one of my colleagues put it, gratitude is an important part of the collaborative culture at IDEO, and that should not be lost just because there’s a robot among us—especially since that robot exists solely to help us do our jobs.

Learning goes both ways with AI

So what does it all mean? The prominent narrative about AI and robots is that they are learning to interact with humans, but this quick study highlights that the learning goes both ways. In the context of the parking Slack channel, the limits of Lotbot’s functionality trained the humans to interact in a different way. A way that, for some who resisted the changes, felt antithetical to our company culture.

A group of data scientists at IDEO recently published a set of AI design principles. One of these principles asks designers to consider how their designs can be sensitive to people’s context and culture. AI systems are designed to provide efficiency, but in some settings, that efficiency might compromise and conflict with other institutional and cultural priorities, like politeness and gratitude. A recent article in Fast Company echoes this concern, suggesting designers of social bots should consider emotional thinking, helping bots be better companions in their interactions with humans.

But what does this mean for the design of Lotbot? Should it be designed in a way that encourages expressions of gratitude? It wouldn’t hurt— but the stakes are low, and the occasional robotic conversation is overshadowed by a number of other rituals and activities that keep our culture feeling friendly and free.

But the question does bring up an interesting opportunity area for social robots and AI in the context of larger offices, especially those that haven’t scaled ritual and culture. As companies grow, corporate culture can be hard to maintain, and as automation becomes more common it could get harder. If social robots like Lotbot can draw attention to the social norms that matter to a company’s culture, we might be able to create and use them to support corporate culture at scale. Social robots may be able to serve as reminders of cultural practice and values.

The possibilities are endless, but one thing’s for sure—human-computer interactions are influenced first and foremost by humans, and the humans of IDEO have spoken. After sharing my research about changes in conversation style with the studio at a recent lunch meeting, my colleagues took to Lotbot’s Slack channel to declare their love and admiration for the tiny bot. In the weeks that followed, I observed an uptick in polite language as well. While I’m in no position to analyze the psychological motivations behind this outpouring of love, it did make me wonder if we all felt the need to make something more human after we found ourselves becoming more robotic.

In November, we shared the story of Lotbot, an AI Slack bot we built to manage parking spots at our Cambridge studio. Long story short: In building Lotbot, we utterly misjudged its personality and found ourselves on the wrong end of a tiny tyrant.

Growing up, I fell in love with the rituals I had to go through to listen to music. I’d flip through my growing collection of cassette tapes, assessing my options based purely on album artwork. Selecting a tape meant that I’d found the perfect companion of mood, time, and place for the present moment. As the music started playing, I’d follow along with the lyrics and analyze the liner notes so that I could try to understand just a little more about what it was I was hearing.

As preferences for personal music collections shifted from analog to digital, convenience overtook curation. Cassettes and CDs were dethroned by the $0.99 iTunes single and, eventually, the killer Spotify playlist. Today, I myself am a diehard Spotify user who eagerly awaits a fresh “Discover Weekly” playlist. But over time, something special was lost. For many, the act of listening to music was no longer reserved for a particular time and place. Now it was everywhere, on-demand, all the time.

This is how the idea for Art of Listening was born. I’d been reflecting on the fact that much of my time was spent with music playing in my ears. Whether during my commute, throughout the day, or simply as I was winding down at home, I had been using music as background filler. Artists hadn’t stopped making albums with deliberate progressions, so why had I chosen to stop listening to them that way?

I wanted to find a way for others to join me in honoring the full-length album as an art form. For each listening, I transform a casual gathering space into a fully curated experience. I put the album artwork on display so that guests see it upon arrival, preparing them for the coming event. Once inside, they’re greeted by a playlist of previous albums, former bands, collaborations, and b-sides from the artist. A screen alternates between quotes pulled from past interviews and snapshots from their social media lives, giving life and character to the people behind the sounds.

We sit and listen to the album all the way through, without any interruptions; after it's finished, people share their reactions as well as anything it may have prompted them to write or draw.

For the attendees, each event is just a short exercise in active listening. For me though, preparation includes several days of collecting and organizing all of the small things that will make up the event. The process isn’t unlike a design project—it can sometimes be all too easy to get wrapped up in the minutiae of day-to-day tasks as you’re working through them. Just as I’d been focused on individual songs rather than the album they were a part of, it’s important to take a step back from your work and try to look at the whole. Now, I try to keep an eye on the larger goal, and ask myself whether the things I’m diving into are in support of getting me there.

As I’ve continued developing Art of Listening, I’ve learned a few lessons that apply to other projects I’m working on:

1. Use subtle cues to guide behavior

By the time guests enter the space, seating has already been carefully arranged. I want to make sure there’s enough room for everyone, but I also want to encourage people to meet their neighbors.

2. People are human, leave room for the human stuff

At the first event, I was so excited for the listening that I didn’t leave room for a break before starting the music. Once the album finished, people ran out of the room, disrupting a key moment for discussion and reflection.

3. Build in opportunities for reflection and feedback

After the music had finished playing at the first event I was nervous to leave people sitting in silence. I resumed the ambient playlist from earlier in the night, only to find that it prevented people from freely sharing their reactions to what we had just heard.

4. Measure by more than just content alone

For me, Art of Listening is much more than just listening to an album in silence. It’s about the moments of surprise and delight as people learn more about the artist, and the connections that form when people physically come together in one space. I don’t measure a successful event by how good the album was, but by the experiences that people have.

5. See the forest from the trees

My goal with Art of Listening is to provide people an opportunity to pay attention and appreciate music in the format the artist had intended. To get there, I had to realize that the art form itself hadn’t changed, but that I had changed how I’d chosen to experience it.

A small group of people sit nestled together in a room. Some are concentrating, eyes closed; others are diligently writing or drawing in notebooks. A select few carefully bounce in place. Nobody speaks, but everyone is connected by a common thread—the music that fills the room. Together they are practicing the Art of Listening.

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.