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.

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.

Creativity Challenge #8: Empathize with customers, employees, and other end users.

One way to develop more empathy with—and gain new insights about—your customers is to look beyond the narrow definition of your offering and consider the customer’s total experience. The more broadly you define the customer experience, the more opportunities you can identify for improvement through design.

Say, for example, you make interior house paint. You could focus narrowly on the characteristics of the product itself, on making the paint less drippy or making it cover a surface in a single coat. But you’ll find many more opportunities for innovation if you think about the arc of the customer experience. In something as simple as repainting a bedroom, there are probably a dozen steps (each one of which is a chance to innovate): from getting the customer to realize that it’s time to repaint, to helping them choose the color, to shortening the preparation and cleanup time, to keeping track of which colors are on which walls for future reference when it comes time for touch-up.

A journey map helps you think systematically through the steps your customers—internal or external—have when they interact with your product or service. We use maps to synthesize what we learn from interviews and observations. (Or, during field research, you can also try asking your end user to map out his or her own journey.)

Tool: Customer Journey Map
Participants: Solo or groups of two to six people
Time: 1-4 hours
Supplies: Whiteboard or Post-its

Instructions

Step 1: Choose a process or journey that you want to map.
Step 2: Write down the steps. Make sure to include even small steps that may seem trivial. The goal is to get you to consider the nuances of the experience that you may normally overlook.
Step 3: Organize the steps into a map. Usually we display the steps sequentially in a timeline. Your map may include branches to show alternative paths in the customer journey. You could also use a series of pictures or whatever method fits your data.
Step 4: Look for insights. What patterns emerge? Anything surprising or strange? Question why certain steps occur, the order they occur in, and so forth. Ask yourself how you might innovate each step.
Step 5: If possible, show the map to people familiar with the journey and ask them what you’ve overlooked or gotten out of sequence.

Tips from the Field

Here is an example using this method:

Think about a trip to the hospital’s emergency room. Of course the most important moment is at the point of care, when the doc is diagnosing the problem or delivering treatment. But when people complain about (or, less commonly, rave about) their emergency room experience, it’s not usually the skill of the doctor they are talking about. A simple version of the patient journey might include moments like these:

• Experience the pain or discover the symptom
• Consider home treatment versus going to the hospital: the go/no go decision
• Choose transportation to the hospital
• Arrive and park (or pay the taxi, etc.)
• Enter the hospital and find the emergency room
• See the triage nurse
• Fill out the insurance forms
• Wait. And wait some more.
• Get ushered to the treatment room
• Put on an uncomfortable hospital gown, and wait some more
• See multiple preliminary nurses and technicians
• See the doctor for an assessment and sometimes preliminary diagnosis
• Undergo additional blood tests, X-rays, and so forth
• Receive a firmer diagnosis, which can lead to getting: instructions for home care, an outpatient procedure, a prescription, a follow-up appointment with a general practitioner or specialist, or admission to the hospital

As you lay out every step, ask yourself how you might cost-effectively innovate and turn the ordinary experience into something extraordinary.

Because emergency healthcare is often high-anxiety, we’ve discovered that patients are calmer if you spell out the journey ahead. We sometimes call that “journifying” the journey—taking an amorphous or scary process and breaking it down into tangible, predictable steps. We’ve found “journifying” helps people not only in the emergency room, but in any number of healthcare situations: taking your newborn home from the hospital, going in for surgery, or beginning a new treatment regimen.

This post was taken from Chapter 7 of Creative Confidence. Purchase the book for more on how to use creativity to solve problems, or read more from this series of creative exercises on the IDEO blog.

Everyone is creative. This belief runs through everything we do at IDEO, and in 2013, it led my brother David and me to write a book that would help others—even those who don’t think of themselves as “creative types”—to unleash their creative potential. Creative Confidence has inspired thousands of people to adopt a creative mindset and apply it to the diverse real-world challenges they face. In this series, we’ll share some exercises from the book that can help you approach your challenges from a new perspective.

I spent my afternoons on a small wooden pier, relaxing and staring up at clouds, looking for shapes. That pursuit is an exploration of pareidolia, the psychological phenomenon in which the mind responds to a stimulus, usually an image or a sound, by perceiving a familiar pattern where none exists. It was in that leisure time, trying to make sense of the clouds, that I found the comfort that I’d been seeking.

Nine years later, I found myself back in America, interning at IDEO Chicago, where I had far less opportunity for leisurely cloud gazing. Without the spare time to hang out on a pier, I wondered if I could engineer the same kind of comfort. Could I design an experience that brought back those long dreamy pareidolia days with the help of an app?

After all, people in my age bracket, between 25-34 years old, only spend an average of 13 minutes per day relaxing, according to the American Use of Time Survey, and experts say that we need to acknowledge and accept that we’re leisure-limited. Maybe this could be a shortcut to that leisure we’re missing.

So I created “Pareidolia,” an app that searches the sky on my behalf. It’s my way of trying to keep a part of my mind exploring, even when I need to be inside, working. If the app thinks it sees something in the clouds, it pings me to take a look.

To create Pareidolia, I set up a Raspberry Pi and a camera on the terrace of our Chicago studio, and programmed it to look continuously at the sky, searching for interesting shapes. The project uses computer vision, tensorflow, and keras to perceive images in clouds, then snaps an image, generates a drawing of what it imagines it might look like, and shares them via Slack. (The code can be found and downloaded from this Github repo.) It tells us what it sees in the sky in real time and invites us to go out and look for it.

As I started to share Pareidolia with colleagues and friends, my creation was met with mixed reviews. Ross Weijer, a data scientist here at IDEO Chicago, thought that it created efficiency while offering a different perspective. “Technology is something that speeds up your life and, lets you do things quicker,” he said. “So I think it’s subversive and helpful to have the aim of this project be to spare your imagination. It’s saying, ‘Stop, stop, take a moment to consider this.’”

Others, though, felt that the payoff wasn’t seeing images in the clouds, but actually, the act of searching for them. “I look at the sky so little, that when I do it’s because I am looking for an escape,” said Kevin Matuszeski, regional director of business operations “There are very few places left without the presence of screens or where you have to read something. So the pure joy of staring at something just for its beauty should be respected."

In other words, for some people, the joy lays in the process, and Pareidolia seemed to eliminate that.

Pareidolia didn’t turn out to be quite the leisure fix that I hoped it would. And it didn’t quite prove to be an antidote to homesickness, either. But it did encourage me to get outside, take my eyes off a screen for a few minutes, and enjoy nature as much as I could from the concrete of my downtown Chicago office. And even if it wasn’t a total fix, it does brighten up my days.

I was only 16 when I moved across the Atlantic to Vancouver Island, Canada, thousands of miles away from my home in Spain. In this strange new world, I found myself struggling to find something that felt familiar, and could give me comforts of home.

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.