American businesses are on notice: To be competitive in today’s market, you must diversify your workforce.

One way to widen the talent pool is to pay closer attention to people who have acquired their skills through alternative routes. Millions of Americans learn on the job, in community colleges, at boot camps, or through life experience. According to Opportunity@Work, more than 70 million Americans are overlooked because of degree requirements. Despite their abilities, these “STARs” (those who are skilled through alternative routes) find themselves stuck in jobs for which they’re overqualified and underpaid.

Opportunity@Work, an innovative social enterprise, reached out to IDEO to help collaborate with companies, talent developers, and STARs seeking career growth. To make this overlooked talent pool more visible, we created a campaign and video to rally companies. We also designed a data dashboard to help regional employer networks identify qualified talent and potential partnerships with skill-building programs. And to provide STARs with direct support, we scaffolded the job-seeking experience, focusing on key moments like the interview process.

It’s time for businesses searching for talent to open their eyes, look to the STARs, and see what they’re missing.

83% of HR professionals said they had difficulty finding suitable candidates in the past 12 months.

62% of Black people, 55% of Hispanic people, and 50% of non-Hispanic white people have become skilled through alternative routes, such as community college, workforce training, boot camps, certification programs, military service, or job experience.

Over the past 40 years, inflation-adjusted wages have increased 8% for college graduates with a bachelor’s degree while decreasing by 15% for people with only a high school degree.

Thousands

of state jobs in Maryland no longer require a four-year college degree

skills-based

The White House is adjusting educational requirements for I.T. professionals in favor of a skills-based approach

For many organizations, frontline workers like grocery store clerks, nurses, hospitality workers, and transit employees are an essential part of doing business.

So much so that they continued to show up at the office throughout the COVID-19 pandemic even as everyone else went remote. As the point of contact with customers and key systems, these workers often know exactly when, where, and why things don’t work, and they come up with powerful hacks and workarounds to make things better. Yet these insights and innovations rarely make it to the corporate office. And that’s a problem: large organizations often hire design and innovation consulting firms while not taking advantage of a latent source of deep, in-house expertise. It’s equally discouraging to workers who would gladly share their ideas if they were only asked. No surprise, then, that frontline workers are quitting their jobs in droves.

What could companies learn by listening?

IDEO partnered with the Ford Foundation to create the Worker Voice Design Lab, where leaders from a port authority, an airline, and a health care provider worked alongside frontline workers. That led to the planting of a seed of innovation in each organization, with interventions designed with and by workers implemented operationally at the core of the business. In one case, a group of workers zeroed in on specific problems with such clarity that they were quickly able to develop a digital prototype for testing. No one was less surprised than the workers themselves, who simply said: Well, nobody ever asked us before. Sometimes the most innovative idea a leader can have is to listen, learn, and act on their employee’s smart ideas.

A large portion of the job churn since March 2020 has been concentrated in frontline services such as accommodation, food services, and retail.

Lack of career growth is the number one reason people leave their jobs according to more than 18,000 frontline workers across 150 companies.

2 pilot initiatives

being led by frontline workers in 2022

The climate era demands new offers and new ways of working.

Would you like to be able to plug your jigsaw into your truck? How about taking a fully reclined snooze after a long day of fishing? Questions like these led to quick prototypes that ended up in Ford’s new, electrified F-150 truck, which has more outlets than the average apartment and can power your entire home. This was no small update. The way Ford reimagined the truck experience from powertrain to power nap is emblematic of how much customer-centricity is now embedded in Ford’s culture.

For well over a decade, we’ve partnered with Ford in the U.S., the EU, and China to help the organization bring to life a shared vision of the future of mobility. Together we scaled new capabilities throughout the company by running proof-of-concept “beacon” projects and, to embed this new customer-centric mindset, built a human-centered-design hub called D-Ford. This organization within the organization has become a magnet for talent and is spread across six global locations: London, Shanghai, Melbourne, São Paulo, Palo Alto, and Detroit. Ford’s commitment to serving the needs of people and the planet is what propelled the rethink of the F-150, the best-selling vehicle in the U.S. for over 40 years. It was a high-stakes move, and one that represents a major turning point for the automaker: For the first time, its primary profit source would be electric. The new Lightning is still built Ford tough, but also built for the future.‍

Passenger vehicles produced 41% of carbon dioxide emissions worldwide in 2020.

One in every 20 passenger vehicles sold in the United States is a Ford F-150.

Before going electric, the Ford F-150 emitted about 100 tons of CO₂ over a 200,000-mile lifespan.

200,000

pre-orders of the electric F-150 truck, named one of Time's Best Inventions of 2021

Most Innovative Design Company of 2022

according to Fast Company

America’s leading retailers share a common goal—doing less harm to the planet.

The systemic challenges standing in the way require a bold new approach, and no single company can solve them alone. So Closed Loop Partners convened a group consisting of founding partners CVS Health, Target, and Walmart, along with 12 other leading retailers. As the innovation partner, IDEO helped launch a global search for breakthrough sustainable ideas that yielded more than 450 submissions from startups and entrepreneurs to reinvent the single-use plastic retail bag, with nine finalists entering a six-month accelerator.

New alternatives ranged from biodegradable solutions to systems that kept reusable bags in rotation. IDEO teams not only facilitated collaboration between startups and sustainability leads from partner retailers, but also provided a boost of additional expertise from industrial, data, and business designers. In a matter of months, teams were able to launch prototypes in select CVS Health, Target, and Walmart stores in California and New Jersey.

Everyone involved in the consortium knew that replacing single-use plastic retail bags is a problem that won’t be solved quickly or easily. But the Beyond the Bag challenge helped them learn that designing for the policy and infrastructure of tomorrow requires tangible steps, taken together, today.

A hundred billion plastic bags are used in the US every year, and less than 10% of them are recycled.

Every year, plastic retail bags are among the top ten items found on beaches and waterways worldwide.

9

stores tested solutions across Northern California

Millions of dollars

raised by two startups

2

startups acknowledged by Fast Company's World Changing Ideas Awards

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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

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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.

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?

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.

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.”

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Take a behind-the-scenes look at the event.

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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?

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I help organizations cut through complexity by shaping how they show up, through brand strategy, identity, and storytelling.

Working at the intersection of brand and business, I bring an editorial eye and a bias toward making—turning ideas into tangible experiences that people can understand, trust, and believe in.

My work spans government, healthcare, financial services, media, and consumer goods, from launching Gen Z-focused ventures to building innovation labs and reimagining legacy brands. I relish moments of ambiguity and enjoy translating across teams, perspectives, and priorities to move ideas forward.

I started my career in editorial and digital design, shaping cross-platform experiences and identity systems in publishing and agency environments. That foundation still shapes how I work today: I’m detail-oriented, collaborative, and overreliant on the Oxford comma. I hold a BFA in Visual Communication from the School of the Art Institute of Chicago.

For 25 years, I've asked the same question: Who does this design exclude—and what are we going to do about it?

My work spans human-centered strategy, inclusive design, and qualitative research, with clients ranging from Microsoft, Google, and Verizon to the National Science Foundation, and San Francisco Unified School District.

Before IDEO, I taught elementary school in East Palo Alto and spent a decade doing design work with social service organizations—where I learned firsthand what it costs people when systems are built without them in mind.

I am currently writing User Error, a nonfiction book about digital access and the design decisions behind it. I live in Oakland, California.

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My expertise spans brand, communication, and product design across tech, education, the arts, and social impact.

I believe great work demands both high-level vision and obsessive attention to detail, and only happens through collaboration.

I bring an inclusive, hands-on approach and a deep understanding of business, which enables me to consistently deliver excellence while always asking why.

Before joining IDEO, I worked at the brand firms Pentagram and VSA Partners. I began my career as a designer, leading teams at the School of the Art Institute of Chicago and the Milwaukee Art Museum. I hold an MFA in graphic design from Maryland Institute College of Art and a BFA in communication design from the Milwaukee Institute of Art & Design, and have taught at some of the best design schools in the US.

I am responsible for IDEO’s long-term success in China and working with clients to use design as a tool to enable growth. Specifically, I have helped Chinese companies design holistic brand solutions through the development of their products, communication, services, and innovation teams, and I have helped multinationals expand their presence and influence in China.

I advise global leaders on developing China-led innovation and capabilities.

In over 15 years in IDEO Shanghai, I have worked on projects that use design to elevate the quality of the experience of healthcare products and services, streamline processes that increase productivity, create spaces and programs that promote and enable inclusive communities, and build next generation mobility solutions that are planet-positive.

Before joining IDEO, I worked at Philips Electronics and the Electrolux Group in Italy, the Netherlands, and Singapore on a number of breakthrough commercial products. I am a member of the Young President Organization in Shanghai.

Most AI products today are built for work—a space with clear problems and established systems. One founder noticed a gap: personal life is messier, harder to systematize, and mostly left behind by the AI boom. So she built Cue, a personal AI that lives inside iMessage and group chats, to go where the other tools haven't.

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In this episode, Becca Carroll, IDEO's Chief Strategy Officer, talks with Sida Li, co-founder and CEO of Shared Context Lab, about staying anchored to a human need while the technology around her keeps changing shape, why she treats her business model with the same rigor she'd bring to a product, and what it feels like to build a company at this particular, disorienting moment in AI.

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The conversation also gets into how Sida makes design decisions: the language Cue uses to describe itself, the tradeoffs behind building inside iMessage instead of a new app, and a real story about a business idea that didn’t pan out.

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This is the second in a two-part series profiling founders from IDEO's Startups-in-Residence program. The first conversation is with Johannes Seemann, founder of Sooner, on designing GenAI for the emotional side of money.

Most personal financial tools are built to run the numbers and optimize towards a budget. While that works for some, most people experience money as a lived relationship that does not neatly fit into a spreadsheet. Johannes Seemann and Becca Carroll discuss why money is emotional before it is mathematical, and what a human-centered approach to building a generative AI financial product looks like in practice.

Mina Seetharaman talks with Scott Shigeoka, author of Seek and Head of Curiosity Cultivation at the Eames Institute, about what distinguishes genuinely curious leadership from performative curiosity, how power dynamics shape curiosity, and why practicing curiosity can restore energy rather than drain it.

Mina Seetharaman talks with David Epstein, author of Inside the Box and Range, about why total freedom often produces average work, how leaders can design useful limits on purpose, and what organizations such as General Magic and Pixar reveal about the relationship between boundaries and creativity.