

Designing a school system from the ground up
Scaling an entire network of schools for the growing Peruvian middle class.
How do you lift up the middle class in a developing country?
That was the challenge facing Peruvian entrepreneur Carlos Rodriguez-Pastor, who hired IDEO to build an entire network of schools powered by a progressive new learning model. IDEO’s mandate: to redesign Innova’s entire K–12 learning experience, from the curriculum to the teacher training to the school buildings, with an eye toward expansion and a goal to provide international-quality education at an affordable price—about $100 a month.
Innova Schools is a part of Intercorp, a family of 35 businesses that span everything from banks to retail stores and added schools to its portfolio. In 2010, the company had five existing schools but realized that its existing model could not grow. The shortage of well-trained, high-quality teachers in Peru, combined with rising land costs, meant the schools would need to radically change course to succeed.
To learn about scalable school models around the world, IDEO researchers visited inspirational schools and learning programs, and looked to analogous systems like retail, hospitality, and health care to understand their approaches to scale. Throughout the project, they collaborated with teachers, students, and the Innova Schools team in co-designing the work itself.
Together, Innova Schools and IDEO developed the curriculum, teaching strategies, buildings, operational plans, and underlying financial model to run the network of schools.
"I was blown away by Innova Schools," said Salman Khan, founder of Khan Academy. "It's inspiring to see such an affordable school deliver a quality of education that would rival schools in the richest countries."

The new Innova Schools combine teacher-led, project-based learning in small groups with self-directed time using digital learning tools. Teachers monitor students’ work online and offer personalized guidance. Parents can view their children’s progress online as well.
Dynamic learning environments include community spaces, media labs, rooftop study areas, amphitheaters, and cafés that are optimized for flexibility: furniture on wheels, movable walls, and efficient uses of space to allow for different modes of learning.
An online Teacher Resource Center includes a database of more than 18,000 custom lesson plans based on a progressive new teaching approach. The center helps teachers learn their craft and gives them a chance to connect across the network.
The business model of Innova Schools was developed at the same time as the school experience. Designers leveraged the economies of scale that come from building a network of schools and centralized tools, such as data systems that allow all the schools to learn together.
The project has allowed Innova to open more schools at an affordable cost to families, ultimately giving more of Peru’s youth the chance to compete in the global economy. This comprehensive approach to system design ranks as one of Latin America’s most ambitious privately funded educational projects, and is on track to become the largest private school network in the region. To date, Innova has opened 63 schools in Peru that are serving more than 50,000 students.

A good system design doesn’t end with strategy. The work on Innova Schools also had a huge influence on the company, according to Rodriguez-Pastor. Through the creation of new roles and an aligned set of values, Innova’s central office has become a much more nimble and creative organization. They’re constantly scanning the world for inspiration in how to best educate their students, while building out the new innovations. They realize that design thinking can become an integrated part of their daily management of this growing network of schools.


Designing a top-selling hard drive
Through a long-term collaboration, Western Digital and IDEO have created one of the world’s best-selling hard drives.
Western Digital, the leading provider of external digital-storage solutions and a pioneer in the field, and IDEO collaborated on a number of products that produced reliable, secure, high-performance hard drives for personal and professional use and have won numerous design awards.
The projects include:
- MyBook external hard drive: IDEO and Western collaborated to find a new design language for their external hard drive MyBook. In just six months, MyBook became the number-one hard drive in the Americas, and grew US market share by more than 50 percent.
- MyBook II: Looking to regain MyBook’s original number-one position in the hard drive market, IDEO and Western came together again to refresh the original design, finding ways to further differentiate the product and the brand, and winning a 2008 Spark Bronze Award.
- MyPassport: Western and IDEO designed the 320GB, ultra-portable USB-powered hard drive that appeals to the mobile user, which won both the 2008 IDEA Bronze Award from IDSA and BusinessWeek, and the 2009 iF Award.
- MyBook and MyPassport 3.0: Again, IDEO and Western collaborated on bringing the popular MyBook external hard drive to the next level in the hardware, the software, and the packaging. IDEO also created in-store merchandising, the graphics and information featured on product packaging (and the “out-of-box experience”).


Designing a city emergency plan
Helping cities prepare for emergencies with a resourceful toolkit.
The city of San Francisco wanted to help its people become better prepared in case of emergency. While no one feels totally prepared for a natural disaster, people who are most connected within a local network fare better in an emergency.
So the San Francisco Department of Emergency Management (SF DEM) and IDEO teamed up to create SF72, a revolutionary platform that helps to reach people where they are. In times of emergency, the city will need citizens to be self-supporting for 72 hours (or longer) before local services or outside help kicks in. With that in mind, IDEO developed an accessible platform to help people prepare for those 72 hours in simple ways that fit into their daily lives.

The SF72 website helps people with five important tasks: Get connected, gather supplies, watch stories, make a plan, and have access to an updated Google map. SF72’s content is hyperlocal, but IDEO and SF DEM also created an open-source toolkit for cities worldwide. From San Jose to Denver, other locales are using the simple toolkit to create a City72 platform of their own. Most recently, the city of Oakland collaborated with Code for America to develop its own platform. The City72 Toolkit enables SF72’s ethos of social connection for resilience to scale and grow—city by city.


Designing a global plan for disaster response
Creating a network that connects veterans across continents.
Team Rubicon, formed in 2010 as a response to the devastating earthquake in Haiti, is made up of former military veterans who swoop into help in times of disaster. The organization started with six vets in the US who were eager to transfer their battlefield readiness in to frontline relief efforts, and has grown to more than 28,000 volunteers across the world.
To explore its growing global effort and to shape the future of the organization’s venture, Team Rubicon approached IDEO for help. After an 11-week collaboration with government, military, and veteran groups, a vision for Team Rubicon Global emerged. Inspired by sources as diverse as TED and The Hell’s Angels, the three-tier model consisted of an anchor network to share best practices across the organization and two supporting platforms designed to help countries with varying capacity and needs.
Team Rubicon Global coordinated its first deployment in April 2015, when a quake struck Nepal, sending US and UK teams to double down on the rescue effort. According to Vince Moffit, Team Rubicon USA Incident Commander, that incident alone validated the network effect of IDEO’s work. “We couldn’t have done this without Team Rubicon UK,” he said.
And for the veterans who are part of Team Rubicon, the shared desire to serve—applying skills ideally suited for disaster response—creates a renewed sense of purpose, community, and leadership that helps reintegration to civilian life.


If You Can’t Have Fewer Meetings, Have Better Ones
Our best tips to help you design a non-boring meeting (yes, it's possible)
At IDEO, we like to breathe new life into the mundane with design. In an effort to shape a new paradigm of meeting-dom, here are some of our best resources on making your next conference-room gathering stand out—in a good way.

1. When you want to kick things off with a bang
Stretch! Sketch! Dance! Build in a few minutes for a new opening exercise and you’ll have a team that’s fully present and ready to get down to business.
READ: 6 Ways to Kick Off Creative Meetings

2. When you have a mixed bag of introverts and extroverts
An IDEOer once called the San Francisco space an “extroverted office full of introverts.” If you have a team of folks all across that spectrum, these exercises will strike a balance between team-together-time and solitude.
READ: 5 Brainstorming Exercises for Introverts

3. When you want people to really get to know each other
Whether bringing together a brand new team or sitting down with old colleagues, a jam-packed room can make for an overwhelming and impersonal experience. Ditch the canned icebreakers and try one of these instead—any of these exercises will help reveal your group’s commonalities.
READ: 5 Exercises for Breaking Down Barriers

4. When morale needs a boost
Do any of your meetings have a jingle? Didn’t think so. Reset your whole meeting philosophy with some out-of-the-box tips.
READ: How to Design a Meeting That Doesn’t Suck
Meetings. Maybe you’re in one right now. (Are you paying attention?) Maybe you have one in ten minutes. (Are you prepared?) We know them well—and we know they’re not usually the highlight of your day. In fact, they can be quite the opposite.


What a Computer Learns From Watching Hours of Cartoons
Exploring how an AI’s output is shaped by the data we provide it
A GAN (Generative Adversarial Network) is a type of AI that pits two neural networks against each other, each one training the other to improve its ability. Unlike other types of AI, GANs don’t just recognize objects—they can create them. GANs borrow a feature from biology and pit two competing neural networks against each other. One network, the “generator,” produces synthetic images, while another network, the “discriminator,” tries to guess whether the images are synthetic or real. The discriminator learns from both synthetic and real images, getting better over time. As it improves, it challenges the generator to produce ever more realistic synthetic images.
During a bite-sized sabbatical from my day job at IDEO CoLab, I dove head first into building and exploring the visual potential of GANs. I learned a lot about the differences between how humans and computers see the world, and how an AI’s output is shaped by the data we provide it. As designers, it’s important for us to understand the limitations of emerging technologies likes GANs—or else we risk creating products that harm, rather than help, humans. Here’s what I created, and what I learned. (Want to learn how to set up your own GAN? Read more here.)
1. Choosing a dataset
GANs can generate convincing fake pictures of almost anything—faces, cats, and even anime characters. How do they do it? It all depends on the dataset. GANs need to be fed a large set of images (think tens of thousands or more) so they can learn patterns. For example, GANs that produce faces learn that they tend to be roughly round, have two eyes, one nose, one mouth, and possibly hair on top. They learn pixel-level patterns, too—the textures that make up skin, eyes, and hair.
The trick with GANs is finding sets of images large enough and diverse enough for a network to pick out patterns. There are plenty out there—like CelebA (hundreds of thousands of celebrity faces) or LSUN (images of scenes like rooms and buildings)—but these are all meant for this kind of research, and training with them tends to illustrate how successful GANs can be.I wanted to do the opposite. What if we try to stretch GANs to their limit, so that we can get a better understanding of how they work? In this case, we’re using images from The Simpsons.

2. Training the GAN
Once I had my dataset of images from the show, it was time to train the GAN. For those familiar with machine learning, read my step-by-step process here. For everyone else, here’s the gist of it: I installed an open-sourced machine learning software called TensorFlow on my computer, which I souped up with a hefty graphics card originally bought for virtual reality and gaming. I then used a series of tools to reformat and resize images from my Simpsons dataset.
I trained the network overnight (sometimes over multiple days) and saved examples of images created by the generator network. The video below documents the learning process of the generator. With time, the images began look more and more like the actual Simpsons.
Scrub through the video to see the network’s progress. At 1:10 (about 13 hours of training), the first outlines of Simpsons eyes appear. At 2:00 (about 23 hours), the color scheme becomes noticeably brighter and figures start to emerge. At 3:00 (about 34 hours), there is less variation as shapes start to solidify and the networks reach some stabilization on what is classified as “real.” At 5:00 (about 57 hours) and beyond, the shapes start to vaguely resemble Simpsons characters, though the result is still too psychedelic and abstract for us to truly classify the images as real Simpsons frames.

3. Making sense of the output
The GAN manages to generate very Simpsons-esque images, but they’re definitely not going to fool the human eye. What’s going on? GANs (and any neural network or machine learning method, for that matter) only learn patterns that are in the training data. As humans, we have a deep and complex understanding of what people and objects should look like, including Simpsons characters and scenes in the show. The GAN, however, doesn’t bring any preexisting knowledge. It has to learn everything from the raw pixel values of the images it sees, and more complex patterns take more examples to learn.
In this case, the GAN easily learns the color palette of The Simpsons and its simple, flat illustration style, and starts to learn the features of each character. With enough training data, it may learn more complex patterns, like complete images of characters, or which characters show up in which settings (like the Simpson family at home, or Mr. Burns at the power plant).
What’s it all mean?
The varied and strange outputs of these networks are a succinct example of both the promise and risks of building products, services, or systems with machine learning inside. They’re seemingly magical, learning from patterns in data without being told what to look for, but they’re also limited by that data. Imagine you came into this world yesterday and had to make sense of it all just from still frames of The Simpsons—how would that inform your thinking?
Biases in training data, intended or not, will be reflected in the output of the network, which, if embedded into a product or service, can codify the bias at an unprecedented scale. As designers, we are uniquely positioned to help with this problem. As Kate Crawford, cofounder of the AI Now Institute has said, the problem is neither a specifically social nor technical problem: It’s a socio-technical problem. Designers have a responsibility to understand the unique role data plays in machine learning, so that we can create networks that equitably serve human needs.
Learn more about training GANs on IDEO Labs. Special thanks to CoLab’s Adam Lukasik for his help wrangling GANs for this post.
Pop quiz: What the heck is a GAN? You might not have heard the term, but you’ve likely seen one in action. From generating images of fake celebrities, to creating training data for self-driving cars, and even recreating suggestive (and weird) nude portraits, GANs are everywhere these days. But what exactly is this bleeding-edge technology, and what can we do with it?


This Artist-CEO Built a Collective That Tells Immersive Stories Through Art
Meow Wolf's mysterious, larger-than-life work dots New Mexico's desert—with more coming soon
In one sentence, who are you?
I am Vince Kadlubek, CEO and cofounder of Meow Wolf in Santa Fe, New Mexico.
What do you do? How did you learn it?
I am a momentum artist. I have dedicated my life to the study and sculpting of momentum, which primarily entails finding authentic, collaborative understandings and influences with the brilliant people around me.

What does a typical work session look like?
I'm usually dealing with these questions: What is the brightest vision? How do we articulate that vision? What steps are necessary for the most effective articulations? Work sessions are meetings or checking email. Those are the two kinds of work sessions I have these days. Sometimes I get to have creative work sessions, which are really just big meetings with beer and Indian food.
When it came to building something like the House of Eternal Return, we imagined, then found scrap armature materials, started producing structure and skin, utilized a bunch of air drying sculpting medium, and started turning large amounts of the exhibit into plaster forms. Lots of stuff was sculpted around the armature produced by the architects and general contractors, using more standard finish practices like painting.

3 favorite possessions?
Oh gosh. Together, “favorite” and “possession” are kinda an oxymoron for me. All I can think about are non-physical things like my memory, my spirit, and my compassion.
How do you get over creative block?
Collaborate with someone who is not stuck in a creative block.
What was the last item on your to-do list?
The last item on my to-do list was to donate money to Beto O'Rourke. But as for work, my last to-do item was to send our SVP of art direction a copy of a PowerPoint that she can use in an upcoming presentation.

How do you see the world in 2078?
Um... well, warm. And I also see a massive network of interconnected spatial computing, photo-realistic artificial intelligences, the liveable internet, monumental creator tools that result in instant manifestation—essentially, we will have transitioned into the 5th dimension.

What’s your number one bucket list item?
Chilling poolside in the Oia Village in Santorini, Greece with a bottle of Krug Clos d’Ambonnay 1998 and three of my closest friends.
Who are you creative crushin’ on lately?
Young Thug, constantly. It is actually a problem. I have a hard time getting excited for any other musician. And I have recently fallen for food and cocktails, so Grant Achatz from Alinea in Chicago is on my mind a lot. LeBron James is creating a reality that is mind-blowing and way beyond basketball; the world is wrapped in his storytelling. And finally, I am a huge coaster guy and what RMC is doing in the coaster world is unbelievable—Steel Vengeance at Cedar Point has completely flipped the script.
Vince Kadlubek is a visionary. He leans into tension, ruffles feathers, and has spent more than a decade constructing new worlds with the art collective Meow Wolf. In 2016, they transformed an abandoned 20,000-square-foot bowling alley into the House of Eternal Return—an immersive experience full of creativity and curiosities—drawing more than a million people to Santa Fe, New Mexico for a dose of childlike wonder. Now their sights are set on two new activations in Las Vegas and Denver, as they aim to create the modern-day Disneyland. As an immersive experience designer, I’ve been personally inspired by Meow Wolf and the big-thinking and resourcefulness of Vince, the collective's CEO. I was stoked to chat with him about his inspiration and aspirations for the future.


5 Business Leaders Share Their Best Advice for Organizational Change
Put your company on a self-improvement regimen
The answer is yes, of course. And when companies don’t fix themselves, we feel it in our products and services. The company has designed something—often a digital thing—that fails to give us what we need, and we walk away cursing the air, wondering if the leaders of the company have ever used the service themselves.
But making things that work for humans isn’t easy. We change every five minutes. How can organizations be confident that what works today will work tomorrow? It’s a lot easier to just slap on a Band-Aid and hope it won’t rip off with the first sudden move.
There are vastly different perspectives out there about how to make change happen and stick, and we’re curious about them all, so this fall, we invited five friends who’ve led major transformation projects at their companies to IDEO’s London studio and for an open conversation.

Here are the top 5 takeaways from our Make Change event:
1. Be a curious leader
“The problem I see in a lot of organizations is they have a lot of great tools but the top leaders don’t use them. If you’re not prepared to do what you’re asking everyone else to do, then why should you expect them to? If you want to understand what’s broken in your company, try entering your own expenses.”
—Mike Bracken (Public Digital), the guy who led digital transformation for the UK government (GDS), a model that’s been replicated in Canada, Argentina, Peru, Australia and the U.S. (and he has a letter from Obama to prove it).
If Mike had one piece of advice for making change happen, it would be this: “Go and sit next to a user when they’re using your service or product. I make sure to do six hours of that every month.”
2. Question accepted behaviors
“If you’re in a self-contained moment as an organization, I’d highly recommend that you build an innovation team that sits on the side and role models something really weird and strange, questioning the accepted behaviors. Having a constant dialogue and exchange with other perspectives is what makes companies competitive. But not a team that sits in the ivory tower. Our innovation team has reinvented itself three times in three years according to what the business needs."
—Anne Pascual, VP of Design at Zalando, Europe’s leading online fashion platform, which delivers to 24 million customers and grew its revenue to around €4.5 billion last year.
Anne's advice? “Think big. We tend to be obsessed with the details, but there’s much bigger opportunities out there.”
3. Don't build an innovation lab
“Innovation is far too important to be outsourced. I’m not a believer in gluing an innovation lab onto the side of your organization. If your culture is not innovative, that’s not going to sustain. You’ve got to fix your culture first if you want to be in this for the long term. It’s got to be everyone’s job when they wake up in the morning. And you then have to create the air cover as a leader for that to happen, which is all about creating a no-blame culture. You can’t innovate as fast as we do without sometimes screwing up. We do it regularly, and when we do, we try to learn from it, but we know it just goes with the territory of being a disruptor.”
—Paul Clarke, Chief Technology Officer at Ocado. After a deal with Kruger in May, Ocado’s market cap blew past Marks & Spencer's—a sign of the tectonic shift happening in retail.
Paul's advice would be this: “Tell the truth about what's broken.”
4. Be a DJ
“A good leader is like a DJ—they play the music that makes people move, but they should accept that people will move in different ways and what’s important is that you move to the same rhythm and move forward.”
—Beatriz Lara Bartolomé, former Chief Innovation Officer of BBVA, and EMEA Advisor Director of Globant, a digitally-native technology services company.
To make change happen, Beatriz would advise you to “ask your teams what they think should be improved.”
5. Launch beacon projects
“Launching a product to market in a short period of time is the best organizational change program—you’re going to learn the most about how the company behaves. We call these projects that have a change agenda 'beacons.' Select them for their ability to help you build a new muscle. If you’re not building a new muscle with every project, you’re wasting an opportunity to learn.”
—Luis Cilimingras, IDEO partner and managing director of our London studio. He leads digital transformation and change projects, including starting an innovation studio called La Victoria Lab that creates new products, services, and experiences for Peru’s emerging middle class.
Luis's best advice: “Keep seeking out inspiration. It’s your job to be inspired.”
Take a behind-the-scenes look at the event.
People are always looking for ways to improve themselves. But what about companies? Companies are just collections of people, so it makes sense that they’d build up all kinds of bad habits over time. Shouldn’t our organizations be on a self-improvement regimen, continuously trying to fix what’s broken?


Lindsey Turner
I’m passionate about building brands, products, and experiences that help organizations show up with meaning and momentum.
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.


Rachel Young
My work helps organizations see who their products aren't working for—and build the will and the tools to do something about it
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.


Brian Pelsoh
I lead with craft, ensuring our work is creatively excellent: rooted in deep human insight and imagination, while also grounded in the realities of business and technology.
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.


Tony Wong
I am responsible for IDEO’s long-term success in China and working with clients to use design as a tool to enable growth.
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.
Building a personal AI for the messiness of life: Sida Li
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.
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.
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.
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.
Designing GenAI for the emotional side of money: Johannes Seemann
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.
The curious leader's edge in uncertainty: Scott Shigeoka
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.
How constraints make us more creative: David Epstein
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.
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