Have you ever had that gnawing feeling, just as you’re sitting down to your computer at work, that you’ve left the central heating on at home? You’re not alone. Rising concern about wasted energy and the financial cost of unregulated thermostats, as well as the convenience of a connected and cozy home, all point to the rise of the smart thermostat. Berg Insights projects it’ll grow 64.7 percent over the next five years.

Founded in Munich in 2011, tado° is Europe’s biggest maker of smart thermostats and air-conditioning controls. Looking to grow, tado° approached IDEO, a longtime collaborator, with a late-stage prototype for a new, wall-mounted gadget to connect any air-conditioning unit to the web so it could be controlled remotely through a smartphone app.

Dubbed tado° Cooling, the device recognizes when people leave their house and heats or cools the house upon their return. The brand tasked IDEO with a three-fold goal: gauge interest in the device, raise brand awareness, and work out product/market fit.

After stakeholder interviews, research, and prototyping, IDEO supported tado°’s team in refreshing the industrial design of the hardware and creating a distinctive yet unified user-interface language for the brand’s existing and future products.

To work out what potential customers thought of tado° Cooling, tado° turned to a novel research medium: Kickstarter. Its ultimate goal? Knowing whether people would part with their money for one. The IDEO team provided an overarching crowdfunding strategy, including funding goals, giving tiers, and marketing, and shot the brand’s Kickstarter campaign video.

As a result, the campaign burst through its $150,000 funding goal to $200,000, and scored coverage in a raft of tech media outlets including TechCrunch, GigaOm, TheNextWeb, Engadget, and PC Magazine. After hitting its “stretch goal,” tado° is adding non-A/C device controls, a Windows Phone app, and IFTTT and Jawbone Up integration.

In addition to media coverage, and showing the public’s appetite for the device, the Kickstarter community’s conversation unearthed further user insights that fed into product development, according to tado° head of design, Jens Pohl.

Buoyed by that success, tado° enlisted IDEO to translate user insights and a big-picture overview of the connected home sector into new services to enhance the device’s UX, and introduced new business models to strengthen its European brand strategy. Early visual concepts, learnings, and evidence from this exploration supported the brand’s investor pitch, securing a further round of $15 million venture capital.

Dr. Reddy’s, a 36-year-old global pharmaceutical company headquartered in India, was growing at a rapid pace. Over the years, the company’s main focus had been on producing affordable generic medication. But with more than 24,000 employees and seven distinct business units operating in 100 countries, there was an urgent need to identify a core, unifying purpose—one that would articulate a set of shared values and align leaders on key business decisions and goals.

G.V. Prasad, the company’s Co-Chairman and Managing Director, knew that the vision had to be simple and elegant–an emotional drive that every employee across the company could relate to and act upon.

Prasad partnered with IDEO to distill the focus that would align the company. Over the course of several months, Dr. Reddy’s team worked with IDEO to learn about the needs of everyone, from shop floor workers to scientists, external partners and investors. Together, they defined and distilled the essence of the company, paring it down to four simple words that center on the patient: Good health can’t wait.

The simplicity of these words belie their power. According to Prasad, the newly articulated purpose has resonated across the company, changing the whole culture of the organization. The idea of infusing a sense of urgency and nimbleness to their systems as a means of serving their customers has had a direct application in almost every corner of the business. Employees connect the message to their own experience, and each of the different business units are now moving towards a common goal.

A Shift Inside

“Good health can’t wait” has become a powerful recruitment tool and employee rallying cry. It makes clear that the company is in the business of serving patients, not just creating products, no matter how innovative or affordable. This has given a new sense of meaning to all personnel, from frontline sales representatives to senior leaders to scientists. Many key decision-makers, including new CEO Erez Israeli, share that the purpose statement inspired them to join the company.

Articulating Dr. Reddy’s purpose has empowered these employees to take risks, experiment, and work together. For example, the marketing department has refocused its efforts on finding solutions that improve patients’ consistent use of their medications. And motivated by the idea that patients can no longer wait for a cure, employees from different disciplines are coming together to find inventive ways of bringing new products to market in record time.

“The website medznat.ru required immense collaboration between various teams—medical, information technology, marketing, and analytics,” says Mvsma Raja, Head of Strategy and Marketing for Emerging Markets. “This served as a platform to bring the latest happenings in the area of pain management to doctors in Russia, who we learned are looking for the latest medical updates on the go.” Building on this cross-functional collaboration and momentum, Dr. Reddy’s established an internal design studio dedicated to using consumer insights and rapid prototyping to drive innovation.

New Offerings

“Our brand belief has inspired how we’ve thought about our future growth,” says CEO Erez Israeli. The new purpose unlocked a series of initiatives, including the aforementioned website for Russian physicians and innovative pill packaging that helps patients better understand their instructions.

Purple Pack is a new type of pill package that ensures that vital information like the expiration date is not torn off and thrown away. Born out of Dr. Reddy’s in-house design studio, Purple Pack allows the pharmacist or patient to mark their daily dosage and reminders on the packaging itself, as paper prescriptions are often misplaced.

A Business Boost

“Good health can’t wait” has not only attracted and unified talent and inspired new offerings, it’s boosted both sales and profit. For example, Dr. Reddy’s generic oral diabetes medication, Metsmall, has become the fourth largest brand in India based on the number of pills sold. The medication is distinct from competitors’ versions in that the pill is smaller and easier to swallow—a clear embodiment of product development oriented around the patient. With its signature Purple Pack convenience packaging, the medication has been one of the fast-growing Indian pharmaceutical brands over the last two years.

Looking ahead, both Prasad and Israeli hope to continue building a purpose-led culture that influences the business from the inside out, inspiring employees to be empathetic and responsive and realizing its mission to deliver good health to all.

In 2006, the MacArthur Foundation made what became a big bet about the future of education, shifting its attention away from the traditional school-based model of reform toward a more youth-centered approach.

By 2014, the bet was starting to pay off, but for it to really succeed, it needed an innovative path to scale and an entrepreneurial approach to sustainability. That’s when MacArthur came to IDEO for help in designing a new organization.

Together, IDEO and MacArthur set out to transform the foundation’s efforts into a self-sustaining enterprise that could balance the social responsibilities of a nonprofit with the lasting viability of a business—an opportunity that was as much about designing a new infrastructure as it was about creating a new culture.

Using a novel prototyping process, IDEO created three illustrated scenarios to tell different versions of LRNG’s possible future, each with an alternative portraiture of its purpose, vision, operating structure, product portfolio, and business model. Through a playful, modular storytelling structure, the stakeholders considered the potential trade-offs of the different approaches and how to prioritize their organizational goals with clear definitions of success.

These different future-forward scenarios helped funders and partners grasp a radical organizational vision, as well as a clear operational model that was go-to-market-ready.

In October 2015, the MacArthur Foundation launched Collective Shift, the organization behind LRNG, with $25 million in seed funding and 30 partners, including Arizona State University, Gap Foundation, the Boys & Girls Clubs, Electronic Arts, and musical artist John Legend.

Based on the scenarios created by IDEO, LRNG is dedicated to creating a “learning as a lifestyle” movement that will transform the learning landscape and close the equity and opportunity gap for young people.

Hundreds of millions of people, from excitable teens driving their first hatchback, to new parents going in for a minivan, have driven Fords off lots around the world since the first Ford Model A was produced in 1903. And cars have changed how we shop, travel, and work; they’ve reshaped our homes, towns, and the world’s infrastructure.

Today, Ford, along with the entire industry, is at an inflection point. As millions around the world move into gridlocked, polluted cities, the allure of owning a shiny new car has dulled. In some places, young people are driving less, and getting their licenses later or not at all. Lightening their load, city dwellers are relying on ride-sharing services and other alternatives to individual ownership.

Technology underpins that shift from ownership to usership. Smartphones, sensors, and open data have enabled new ways of getting from point A to B: from car-sharing services like Zipcar to taxi services like Uber or clever transport apps like Citymapper that help people skip effortlessly between the bus, a shared bike scheme, and renting a car.

While the owner of the very first commercially available Model A—Chicagoan dentist, Ernest Pfennig—couldn’t see more than a century ago how cars would change the world, Ford is squinting into its future by prototyping it now. Building on a longstanding relationship with IDEO, the carmaker approached us, along with a number of other partners, to undertake two of 25 experiments exploring a car company’s place in the changing world of mobility.

The first, Data-Driven Insurance, investigates a new pay-as-you-go insurance offer based on people’s driving behavior, as measured by a small adapter plugged into the car. The second, Infocycle, plots a snapshot of how bikes traverse the city and interact with cars and public transport by using Ford’s open source API, Open XC, to track cyclists around San Francisco.

Tackling the tangled ecosystems of bike sharing, private cars, and open city data proved an international effort. The two projects brought together a multidisciplinary team of researchers, hardware and software developers, data scientists, and interaction, industrial, and business designers from IDEO’s San Francisco, Palo Alto, Chicago, and London studios.

Have we cracked the future of mobility? Probably not. And that’s okay, says Fields. Smart mobility is simply part of Ford’s journey of evolution. Along with global competitions, collaborations with universities, and opening up their hardware and software platform Open XC, these experiments help Ford meet the needs of a fast-changing mobile world. “As we drive innovation in every part of our business,” Fields said, “we are determined to learn, to take risks, to challenge custom and question tradition, and to change our business going forward.”

More information on Ford’s Smart Mobility projects can be found here.

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.