For 6-year-old Dave Jr., a long line at Disneyland triggered a massive meltdown. His parents were concerned and a little embarrassed, but not surprised; Dave Jr. struggled to keep his emotions in check.

Hoping to help, Dave Jr.'s uncle, entrepreneur Craig Lund, joined forces with researchers at Harvard Medical School and Boston Children’s Hospital, along with a video game designer who had worked on Quick Hit and NBA 2K. Together, they set out to design something that could teach coping skills to kids like Dave Jr. who need to manage “big emotions,” as well as children suffering from anxiety, ADHD, and other behavior issues, which are on the rise.

Their collaboration resulted in a video game called Mightier and a startup called Neuromotion Labs—a 10-person team of psychologists, game designers, and engineers who embedded at IDEO Cambridge for a one-month sprint to improve the game and get ready for launch.

To play Neuromotion's game, kids are first taught simple, calming breathing exercises. During gameplay, kids wear heart-rate monitors on a wrist or arm that detect spikes caused by stress or anger; as their heart rates go up, the game's difficulty increases. Kids have opportunities to pause and try deep breathing to counter the ramped up challenge. As it turns out, "gamifying" restraint builds strong incentives for kids to take charge of their emotions—they have to if they want to win.

Already activated around boosting mental and emotional health, IDEO's design team worked side-by-side with Neuromotion to study how parents and children experience Mightier. From home visits to group interviews to a summer camp-style design session with kid players, live feedback fueled the next iteration of the gaming platform and better product-market fit.

IDEO helped Neuromotion hone the visual design and mechanics of Mightier and expand it's suite of games. The team observed that the Mightier program was more successful the more involved parents of players became, which revealed a need for additional resources for adults. So they created new supports, including a more detailed orientation and a personalized coaching service for parents staffed by trained therapists.

But can a video game actually help kids cope? Early peer-reviewed studies showed that playing Mightier reduced outbursts by 62 percent, oppositional behaviors by 40 percent, and parental stress by 19 percent. After 12 weeks of using Mightier, a survey of kids and parents showed that 96 percent of parents saw positive behavior changes in their children, while 92 percent of kids learned new coping skills.

Shortly after the design sprint, Neuromotion secured its next round of funding and officially launched Mightier’s array of “bioresponsive games.” The games have already been played more than a million times, and Neuromotion has measured more than a 100 million heartbeats. Mightier games are helping kids and families across the country.

What about Dave Jr.? Recently, his sister told Lund she "accidentally" bumped Dave Jr.’s bike off a pier and into the ocean. She was expecting an outburst of anger, but after eight months of playing Mightier, Dave Jr. stayed cool. His uncle couldn’t be prouder.

Many of us have let vegetables wither in the crisper drawer, or thrown out a child’s half-eaten restaurant meal, but the sheer scale of food waste around the globe is hard to grasp. According to the United Nations, about a third of the food the world produces every year—1.3 billion tons—is lost during production or tossed by consumers, with North Americans throwing out the most food per capita. The average American wastes enough food each month to feed another person for 19 days.

IDEO received a series of grants from The Rockefeller Foundation to find solutions, given the power of IDEO’s human-centered design approach to address systemic challenges. Through a number of projects with The Rockefeller Foundation and other organizations, IDEO designers from across the U.S. devised novel ways to tackle food waste.

For IDEO’s first initiative, designers tapped into the enthusiasm of the broader creative community, in partnership with The Rockefeller Foundation, the City of San Francisco’s Department of Environment, the Closed Loop Foundation, ReFED, and other groups. In the summer of 2016, OpenIDEO—IDEO’s open innovation practice—launched the Food Waste Challenge, asking how people might curtail waste by rethinking our relationship with food. Between June and October, more than 20,000 people from 113 countries took part in the challenge, tracking their personal waste and brainstorming solutions.

Challenge participants submitted more than 450 ideas. A team of food industry experts helped select the 12 top proposals, which included software to help people buy food collectively from wholesalers and a service that delivers extra meals from corporate events to those in need. Ultimately, the Closed Loop Foundation chose to award Full Cycle Bioplastics a $50,000 grant to scale up its idea to convert inedible food and paper waste into a fully compostable alternative to oil-based plastic.

At the conclusion of the Food Waste Challenge, OpenIDEO launched the Food Waste Alliance, a platform for participants and experts to stay engaged with the most promising ideas and innovators. The alliance helped entrepreneurs share resources, prototype new concepts, secure funding, hire staff, and form partnerships. OpenIDEO invited hundreds to join the alliance, and 92 percent of members told IDEO they made progress in their work as a result. One member company, RISE, received funding from another participant who discovered RISE through the alliance. This investment let RISE prototype its concept for milling spent grain from beer brewing into flour for baked goods and ultimately join the prestigious Food-X accelerator.

The Rockefeller Foundation also supported IDEO’s work with City Harvest, a New York organization that collects 160,000 pounds of unused food each day and delivers it to soup kitchens and food pantries. City Harvest wanted to understand the habits of local families who visit food banks in an effort to ensure all the food the group distributes gets eaten. To get a peek into these families’ kitchens, in January 2017, IDEO researchers conducted observations and interviews across New York City’s five boroughs. Pantry customers cooked for the researchers, giving them an inside look at how the families engaged with the food they had available and what food meant to each of them: tradition, stability, even adventure. Based on insights from pantry visitors, IDEO made recommendations for City Harvest, including community-run cooking classes and a way for families to request specific foods or reserve pick-up times by text message. IDEO also created three video vignettes to help build even greater empathy between City Harvest and the people it serves.

In spring 2017, capping IDEO’s work with The Rockefeller Foundation, the organizations teamed up with World Wildlife Fund and Hyatt hotels in Florida, New York, and New Jersey to rethink all-you-can-eat buffets. IDEO studied diners and staff at Hyatt buffets and found that employees—from event planners to kitchen staff—each add a cushion of extra food to cover their bases, while guests overfill their plates to avoid missing out. In the end, diners eat just half the food organizers serve, while the rest goes to waste. This and other data-driven insights gleaned about diners’ habits led to subtle substitutions, including smaller plates of meats and cheeses that can be ordered from servers and individual pastries rather than whole cakes. These alternatives have not only built on Hyatt’s existing food waste management strategies, but have also helped reduce buffet costs at Hyatt Regency Orlando and continued to receive support from guests.

The problem of food waste is too enormous to ignore. Wasted food means squandered resources, lost money, and ultimately, hungry people—more than 15 million in the United States alone. Designers and innovators from coast to coast have helped find solutions to the crisis that fulfill a variety of needs, from preserving produce sent to food pantries to keeping plastic packaging out of the oceans. The Rockefeller Foundation and other IDEO partners are leveraging powerful design techniques to pave the way for a waste-free future.

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:

In today’s job market, there’s no such thing as being "done" with your education. This is particularly true in the fields of data science, machine learning, and AI, where significant advances are made on a monthly basis. To meet this need for more in-depth training, Metis—part of Kaplan—wanted to create a comprehensive data science program for students from all backgrounds. Metis asked Datascope to design the curriculum from scratch, drawing on the company’s deep expertise in the field.

Datascope spoke with practitioners across industries to identify the key skill sets that make them successful: a grasp of design; fluency with data management, coding, and algorithms; and effective communication with coworkers and the wider world. The team crafted a 12-week bootcamp that develops these specific abilities.

In order to prepare students for the work world, the bootcamp is structured less like a class and more like a company, where students are “hired” as data scientists—with projects to complete—starting on day one.

Students collaborate on group projects and presentations in a way that mirrors real workflows, and practice pair programming to learn from one another. Using techniques drawn from design, students are invited to refine their project briefs and continually reevaluate their approach.

Instead of a final exam, at the end of the course, students tackle five real-world, open-ended data science projects inspired by Datascope’s client work. One project involves using data from subway turnstiles to detect patterns in the volume of street traffic; another asks students to use data they scrape from the web to predict a movie’s box office profits using regression analysis.

After students complete the bootcamp, they receive an additional three months of career support, from mock interviews to site visits with potential employers. In addition to designing the curriculum, Datascope taught the first three student cohorts and helped Metis build its teaching team as it expanded the program from New York to San Francisco, Chicago, and Seattle. Metis now offers online courses, evening classes, and corporate trainings in data science.

If you’re going to take a data science bootcamp, it’s best to take one designed by data scientists.

You’re whizzing along on your bike, en route to a new restaurant for a client meeting. You reach an unfamiliar intersection; which way to go now?

Instead of dismounting and digging for a phone, you brush your hand along your jacket sleeve for directions, then double-tap the denim to re-start your music. Without taking your eyes off the road, you’ve taken care of the problem.

This intuitive interface for connected apparel began with Levi's, makers of durable workwear for 140 years, and Google, creators of forward-looking technology, which joined forces to fashion the first item of clothing with touch-sensitive, copper-core threads woven directly into the fabric. Once it was established that the first connected garment from the partnership would be a jacket within Levi’s Commuter line, with interaction on the sleeve, Google worked with IDEO, leaders in designing for human needs, to develop the gesture language of the jacket and industrial design of the technology within.

This is the first connected garment that helps us break free from devices. It seamlessly incorporates Jacquard by Google technology to perform digital tasks, such as navigation, communication, and music playing with a few swipes or taps on the sleeve.

Jacquard by Google—a platform that makes it possible to integrate touch and gesture interactivity into fabrics using conductive yarn and standard, industrial looms—was inspired by a curious twist of history. The Jacquard loom, invented in France in 1804, used punch cards to automate the process of weaving complex patterns into fabric. In the 1940s and ’50s, engineers employed a similar punch-card technique to program the first computers.

IDEO spent time on the project early on, collaborating with Google engineers and Levi’s clothiers on the jacket’s development, helping craft an experience that would make the intelligent threads intuitive to wearers.

Working alongside Google and Levi’s, IDEO’s work included:

• The industrial design of the electronics integrated into the snap tag and connector (the tag snaps onto the jacket’s cuff and connects to your phone via Bluetooth)
• A vocabulary of gestures on the cuff of the jacket that lets you interact with the jacket’s technology
• Early exploration of the basic design philosophy and conceptual design for the interaction model of a corresponding smartphone app that ties it all together (works with both iOS and Android phones)

The IDEO team’s first task was to validate what commuters of all stripes wanted from the garment, in addition to the work Levi’s did in researching with its consumers. In interviews, group exercises, and wear tests with urban cyclists and other workers on the go, the team learned that cyclists needed a way to stay connected, while still living in the moment. That meant being able to answer calls, hear text messages, get the next direction, and control their music without using a screen.

Levi’s, Google, and IDEO developed a language of movement for Jacquard-enabled fabric that feels familiar and human and builds on the ways people would naturally interact with a garment (a whole-hand brush along the sleeve, as opposed to a one-finger tap on a touch screen, for instance).

Then came the design and engineering of the snap tag on the jacket’s cuff, which gently notifies you of calls, texts, and other jacket interactions with light and vibration feedback. The flexible, lightweight strap incorporates the look and feel of a Levi’s jean button, while housing advanced electronics that capture touch data. The tag is removable, charges via USB connection, and works in conjunction with a mobile app that lets you configure settings for the garment, set notifications, and customize gestures and interactions.

The Levi’s Commuter Jacket with Jacquard by Google changes the game because it’s simply that—a jacket—with technology that adds new utility and value, allowing us to wear our everyday interactions on our sleeves.

The Levi’s Commuter Trucker Jacket with Jacquard by Google hit stores in October 2017.

IDEO and Google have a long history of collaboration. Learn more about our work on Google Bloks here.

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.