IDEO and Fotile have had a relationship since 2009, working together on projects including a unified design language for product offerings, retail environments, and IoT strategy. For the dishwasher, IDEO and the Fotile research team came together for design research, shadowing Chinese families in different cities as they prepared meals from start to finish. Together they discovered that unlike in Western cooking, where several kinds of cookware are used for different dishes, Chinese cooks tend to use the same cookware to prepare all of their dishes.

That meant that the cookware needed to be cleaned several times during a single meal preparation, rather than once at the end. In this context, the sink serves different purposes over the course of cooking—it’s a place to wash and store prepped ingredients, rinse the cookware, and deep clean the dishes used in food prep and during the meal.

Based on this insight, IDEO made a list of product design recommendations that became Fotile’s Sink Dishwasher—a counter-level, multi-purpose appliance that specifically suits Chinese cooking habits. IDEO’s design guidance gave Fotile the confidence it needed to launch its product into the market, and served as a blueprint for the future iteration of Fotile’s Sink Dishwasher.

On March 25, 2015, six months after the project ended, Fotile launched the world's first sink dishwasher designed for Chinese families. Eight months later, its market share exceeded 30 percent, setting off a wave of innovation in the Chinese dishwasher category.

In 2016, Fotile introduced a three-slot dishwasher with an added compartment for cleaning fruit and vegetables—a direct response to a research finding that Chinese families are concerned about food safety. When this new model hit the market, Fotile’s dishwasher market share jumped to 41.1%. In China, Fotile is now synonymous with “sink dishwasher,” and the company has a widespread reputation among consumers as a symbol of a safe and healthy Chinese family kitchen.

Since its founding in 1994, Fotile’s Chairman, Mao Zhongqun, has made it his goal to “do nothing but build a high-end Chinese family brand.”

30%

Fotile Sink Dishwasher’s share of the market in China, just eight months after launch

41%

Fotile’s dishwasher market share after it launched a three-slot version in 2016

#1 selling brand

in the mainstream price segment of the Chinese dishwasher market as of August 2023

BoAo Group’s idea to design a new baby car seat was fueled by a newly revised minor protection law, which made using child safety seats mandatory beginning June 1st, 2021. As ZUOWE and IDEO looked around China’s emerging car seat market, the team noticed a singular focus on safety and safety features across most international and domestic brands. There was a clear opportunity for a new product that could meaningfully differentiate itself by not only providing safety features but also meeting the needs of modern Chinese parents.

To kick off the project, the IDEO team needed to answer two questions: What matters to the new generation of parents in China? And how will their style and approach to parenting affect their expectations for baby car seats? Taking into account the potentially different consumer needs in different geographies, the IDEO team headed to Shanghai, a city with more than 25 million people, and the city of Taizhou in Zhejiang province, which has a population of 2 million. They conducted in-depth home visits to local families, visited many brick-and-mortar mom-and-baby shops, and interviewed people like specialized nurses, parenting experts, and child psychologists. 

Despite the differences between the two cities, IDEO discovered commonalities during consumer conversations. Young Chinese parents were experiencing a perceived identity gap. As individuals, they felt they had distinct personalities and a clear sense of self. They actively expressed themselves through their clothes and belongings. But when they became parents, this sense of self weakened or disappeared completely.  Their identities shifted to being someone’s mom or dad overnight. This new generation was eager to show their unique approach to parenthood as they used to express their sense of self. But many products were designed for children, with little regard for parents. 

This core finding helped set the direction for the new baby car seat design and brand Maple&Co. However, there were still two significant challenges to overcome. One, IDEO needed to design a product with stringent technical regulations and standards on a tight timeline—ZUOWE wanted to launch the new car seat at an important industry trade show within the year. And two, the team had to help the organization transform its thinking and ways of working to be more consumer-centric.

BoAo’s strength lies in its 20 years of experience developing and manufacturing car seats for major domestic and international automotive brands. This gave the company an edge in overcoming technical barriers and driving mass production. But its engineering and manufacturing mindset had become a barrier to transforming into a D2C brand. With such ingrained ways of working, pivoting to a more creative process can be hard. 

To address this hurdle, IDEO set up co-creation workshops, bringing together ZUOWE’s newly formed baby car seat team and manufacturing experts from their factories to discuss design direction and details early on. The benefits of the collaboration were clear: It was easy to share feedback in a timely manner and make product design decisions very quickly. When IDEO presented a design that emphasized natural textures during a workshop on brand positioning, a member from Bo Ao’s manufacturing team said, “This feels very different. This could become a major selling point,” and that they had “never seen” anything like it done by other baby car seat brands.

A year after working together, ZUOWE Technology launched Maple&Co and the new Maple baby car seat across its main e-commerce channels. Modern and minimalist in soft natural colors and wooden veneers, Maple appeals to the aesthetics of young parents in China. Despite a series of micro COVID outbreaks in China, within three months, Maple had already achieved better-than-predicted sales and received favorable comments about the look and quality of the car seat from parents. Fast forward two years, additional collaborations with IDEO have enabled the young startup to grow its child travel portfolio from a signature car seat into a more holistic offering that includes highly functional, fashionable, and adaptable car booster seats and strollers that thoughtfully address the needs of modern Chinese families across various life stages at home—and on the go.

China's minor protection law mandated the use of child safety seats beginning June 1, 2021.

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Despite incoming regulations fueling a surge in purchases, car seats on the market rightly prioritized safety but did not consider the emotional needs and lifestyle preferences of a new generation of Chinese parents.

1 year

after the project ended, a new, differentiated baby seat product and brand, Maple&Co, launched

Top 6

during the 2023 “Double 11” shopping festival, Maple&CO secured the 6th spot on Tmall's new brand pre-sale list

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“Over a year ago, I had to take my cat to the vet for an unexpected and expensive surgery,” says one Card Member. “To be honest, I still don’t know if I’ve paid the bill off.”

Many crave the flexibility to pay for large purchases over time, but also want to avoid the pitfalls of debt. Others rely on debit or cash for small items—no one wants to accumulate interest on a cup of coffee, lunch with a friend, or box of Kleenex—but then miss out on valuable rewards.

American Express worked with IDEO to help them attract new customers by understanding what financially stable young adults wanted in a credit card. The team began by interviewing more than 120 millennials to understand their payment behaviors around debit and credit, and how they think about borrowing and spending.

One person described the monthly panic of receiving his bill—described as “statement shock”—and his habit of making multiple payments before his billing cycle closed to ease this anxiety. Others were wary of credit because of a large veterinarian bill or financial mistakes made in their 20s, and relied on debit because it felt safer than accruing a balance to pay off. Overall, the team learned that many consumers experience anxiety about paying their bills. And while financial products that offer more flexibility and control have been needed for years, they are especially valuable in times of economic uncertainty like today.

Based on this research, IDEO prototyped, iterated, and refined two concepts, with frequent feedback from users and the client. Called Pay It Plan It, this feature offers financially responsible consumers more transparency, confidence, and control.

Pay It allows Card Members to quickly pay for small purchase amounts under $100 with a few taps in the American Express mobile app. When that purchase shows up on their account, they can choose “Pay It” and still earn rewards on the purchase. This ensures Card Members can take advantage of rewards while lowering their monthly bill by paying for smaller items throughout the month.

With Plan It, Card Members can split up larger purchases of $100 or more—like an emergency trip to the vet or a new sofa—into equal monthly payments, with a fixed fee and no interest. When the purchase appears in their account, they can select “Plan It,” and will be offered up to three monthly payment plans, ranging from three to 24 months. Each plan comes with a fixed monthly fee and no interest. Card Members know exactly how much they have to pay each month, so there are no surprises. And if they pay the purchase off early, they no longer have to pay any future plan fees.

The design of Pay It Plan It did not come without challenges: Bill pay is critical, complex, and highly regulated. Pay It Plan It required a significant internal financial and technical investment, which was achieved after IDEO shared many of the emotional, compelling stories from credit card users with leaders at American Express.

The team worked closely with the American Express regulatory and digital teams to ensure compliance and seamless integration into the mobile app and website’s user experiences and interfaces. To heighten the sense of competence, control, and transparency for users, the designers focused on small interactions like status animations, proactive suggestions, and straightforward language. These interactions help Card Members anticipate upcoming payments and clearly understand Pay It Plan It.

Plan It was designed with transparency, control, and accessibility in mind: The payment plan fee is displayed in dollars to give the customer certainty over their total costs.

Initially, the team set out to create a new credit card with the needs of young adults in mind. But IDEO and American Express realized that Pay It Plan It could be scaled across existing credit card products to ultimately benefit and attract more Card Members. Now, almost all U.S. American Express Consumer Card Members have access to Pay It Plan It through credit cards, co-branded cards, and the well-known Green, Gold, and Platinum Cards. Since launching in 2017, Card Members have created nearly 5 million Plans, totaling nearly $4 billion in purchases, with an average Plan size of $789. Millennial and Generation Z Card Members have created approximately 44 percent of these Plans.

The flexibility and control offered through Pay It Plan have earned American Express positive press, including a call-out in The New York Times for being among solutions that “make it easier for their customers to borrow money, and to manage their monthly cash flow.”

At first glance, design-led innovation may seem difficult to achieve in large, established organizations like American Express, operating in a highly regulated and deeply rational industry. But the IDEO and American Express team successfully found ways to introduce new behaviors like rapid prototyping, cross-discipline collaboration, and leading with emotional customer stories within the existing organizational culture and structure. American Express has since established a permanent Pay It Plan It team dedicated to evolving the feature. Made up of employees across departments, this points to a new and collaborative team structure for the company.

By seeking to understand the human behind the Card Member, American Express has transformed credit and financial services for the better, helping both to be defined by empathy, utility, and transparency.

For more than two centuries, The Times held a strong reputation as a storied British newspaper. Then came the digital deluge. Publication after publication began adopting a relentless online publishing schedule aimed at capturing eyeballs and subscribers, and guarding against waning advertising sales and print readership. But The Times and its sister publication The Sunday Times thought there might be a different way forward.

As Editor John Witherow explains, “the power of an edition” had long endured at The Times, but began to erode amid a round-the-clock breaking news cycle. Witherow didn’t want to do away with editions, but rather to update the model for the digital age. Times owner News UK approached IDEO in 2014 to explore exactly that: what the edition of the future might look like and how its design could drive revenue and subscribers.

IDEO’s research and design phase included interviews with readers, journalists, editors, and marketers at News UK. The team found that people’s reading modes vary—some reflecting new digital behaviors and others adhering more closely to paper-reading styles.

Readers, the team learned, chose The Times for its editorial opinion: a perspective that cuts through the overwhelming flood of information. They viewed the daily Times and weekend Sunday Times as one paper, despite the organizational distinction. And they were proud of their choice, valuing the papers’ consistency, trustworthiness, balance, and authoritativeness. Readers wanted these qualities distilled in a digital edition, whether on a smartphone, tablet, or on the web.

Those insights led to strategic recommendations spanning digital products, editorial, advertising integration, online membership offers, and social sharing. But the boldest among those was a publishing strategy that seemed to run counter to media trends: abandoning a real-time approach in favor of publishing separate digital editions.

The Times in March 2016 introduced an editions-based publishing schedule, with new editions available across all platforms four times each weekday: overnight, 9am, noon and 5pm; the weekend schedule shrank to three editions. A year in, they had broken that schedule fewer than a dozen times—making exceptions for major moments like the terror attack in central London and David Bowie’s death—but even in those cases, The Times refrained from incessant updates, instead resuming its regular pacing.

“The way we’re publishing now, taking our time over news...taking a more considered view of the world, it’s helped us offer something different from everything else,” digital news head Alan Hunter told Digiday in 2018. Readers demonstrated that this different approach was something they’d been wanting.

In the first half of 2016, new paying-subscriber sales were up 200% as compared to the same period in 2015. At the end of June 2016, there were 413,600 subscribers to The Times and The Sunday Times, up 3.4% from a year prior. Of those, 182,500 were digital-only subscriptions—a 6% rise and a notable figure given how much online news can be obtained for free.

Through collaboration with IDEO, News UK's own digital teams capabilities grew, enabling them to implement and evolve their new digital strategy. The capabilities of the newsroom grew, too: “The decision to move to four editions a day has freed up tremendous resources to focus on big stories,” says Emma Tucker, Editor of The Sunday Times—the kind of stories that "supercharge engagement." The approach is working: By August 2019 digital subscriptions had increased 19% year-on-year to 300,000, showing the progress the legacy publisher has made in attracting readers to its online proposition. Total subscribers for the two titles' print and digital products now stand at 539,000, and their websites total five million registered users.

More than 230 years after its first edition was published, the new Times has established solid footing in the digital age and designed its own future—one based not on the habits of its competitors but on its legacy and the reading behaviors of its audience.

To answer that question, we teamed up with Healthworx Studio to run an intensive five-week sprint and design a business that would address issues of access in rural health, leaning on AI to supercharge the process.

We kicked off with a lot of questions: Could we produce more rigorous, higher-quality results if we used gen AI tools to augment our team? Would it come up with innovative ideas for how to make healthcare more equitable? Could we get further faster? The answer was yes—with a lot of caveats. (For a deep dive into our approach, principles, and learnings, check out our Designing with AI Report.)

It quickly became clear that while Gen AI tools can’t replace human ingenuity, they certainly fuel it. When it came to generating solutions to a problem this complex, AI had very little to offer in comparison to human teammates. But it did help us innovate much faster and with more depth, bringing us up to speed on initial stakeholder context and synthesizing and incorporating datasets —crucial parts of the process that can take a lot of time. Here’s where we succeeded and failed, and what that taught us about using AI going forward.

Opening the aperture

Did a machine just listen to dozens of podcasts, summarize them, and give us themes in an hour? Yes it did. Thanks to tools like Preplexity.ai, which enables social listening on platforms like Reddit, we were able to quickly synthesize diverse perspectives from varied sources and distill themes that seamlessly integrated into our research process. 

Working with these tools feels like being bitten by a radioactive spider and gaining a suite of superpowers. We can rapidly develop contextual awareness of numerous stakeholders and their pain points in relation to the challenges we aim to address. With our lens widened, the questions we asked became more pointed and the concepts we designed more crisp. “The AI enables efficient pattern matching across massive datasets, unlocking value from information that was previously siloed or inaccessible,” explains Jaime Goff, Product Design Lead at Healthworx Studio. “By leveraging these capabilities, we can incorporate a breadth of knowledge beyond what our team could internalize before. It really expands what we can achieve by connecting us to data in new ways.”

The importance of coming together

But as our use of AI tools increased, there were unexpected sandtraps, too. For one, we noticed a steep decline in the quality of our team interactions. We thought that getting an AI boost would be “like having an extra designer in the room with us.” But the reality was we each retreated into our corners with our own AI assistant, forging ahead with new ideas. When it was time to reconvene, we were on wildly divergent tracks, and re-aligning to move forward as a team was an enormous undertaking. 

Another caveat: While generative AI tools helped us gather new forms of data, it was still critical to hear directly from the people who would be using these solutions. 

Nicole lives on a ranch the size of the City of San Francisco. After her husband broke his leg in a freak accident, she had to make a harrowing journey, traveling two hours to the nearest hospital. Stories like Nicole’s taught us a lot about what it’s actually like to access healthcare in rural areas, and the resilience it requires. It was the people we spoke with who brought nuance to the problem our team was trying to solve, inspiring our most critical insights and building confidence in our concepts. As much as we tried, we could not find an artificial substitute that could come close.

It was the people we spoke with who brought nuance to the problem our team was trying to solve, inspiring our most critical insights and building confidence in our concepts. As much as we tried, we could not find an artificial substitute that could come close.

Smelling the AI B.S.

When reviewing a few AI-generated venture concepts with the Healthworx team, the room fell silent. The concepts were all variations of the same idea, repeated and rehashed. “Generative AI can rapidly spin up concepts that seem good enough at first glance,” Goff says. “But when you scrutinize them, the limitations become obvious.” Even after extensive prompting with our AI co-pilots, we were still back to the same place, with a bunch of repetitive concepts. 

But when the team mined our own insights, we were able to find a truly compelling venture idea.

Late into the night, when the team was riffing, we shifted our approach from working alongside AI to guiding it. We had ChatGPT review and improve on its own ideas, asking it to strengthen the overall concept as it went. The tool acted like jet fuel, helping us add rigor and build out the venture, ultimately producing a successful pitch presentation that included high-fidelity mockups, early working AI prototypes, and an in-depth pitch deck.

Supercharging our process

We’re in the caveman era of generative AI, and there are plenty of unintended consequences to be concerned about. But we’re optimistic about how a human-AI partnership that leverages human creativity and nuanced subject matter expertise alongside AI tools allows us to quickly outsource parts of the process, add rigor, and iterate faster, supercharging design and innovation.

And while the AI hype is founded, its limitations, which became patently clear in the ways it addressed a complex challenge like rural healthcare, made us appreciate how important humans are to this equation. Goff says it best: “This project showed the value of individuals bringing their unique brains and nuance to the table to work alongside AI. Our minds provide the spark that drives real progress.”

For those who crave the details, learn more about our approach, principles, and experiments with our transformative collaboration with Healthworx Studio here or reach out to ai@ideo.com

Visuals created with Midjourney.

Healthcare has a lot of big problems to solve. Could AI help?

At a recent business roundtable, the topic was how to set product innovation up for success. I spend the bulk of my days helping organizations stretch to tackle business challenges by coming up with breakthrough ideas, so it might seem sacrilegious to allow those ideas to fail.  But since that breakfast, I found myself scrutinizing not only what failure looks like, but also how it feels.

There’s a saying that’s usually applied to writing: “Kill your darlings.” It’s a nudge to let go of a much-chewed-over clever phrase that doesn’t help the overall story.

We use the saying at IDEO, too. But our “darlings” are hypotheses or “sacrificial concepts” that we quickly put to the test and are willing to abandon. Iteration is the lifeblood of the design process—and the magic of it is that it allows for what Harvard Business School professor Amy Edmondson calls “productive failure.”

When companies face business challenges that require innovation, the instinct is to look for and land on a solution and sell it internally, so you secure permission to move forward. And what if the path you’ve chosen doesn’t pan out? We have a natural instinct to persist: The company has allocated money and resources, and it’s easier to hang onto the hope that a turnaround is just ahead than to pivot. 

But hope isn’t enough in an era of new baselines like disruptive AI and climate change. Companies must stretch further, build resilience, and find ways to meet an ever-evolving new customer. 

To keep pace, we have to reframe  business challenges as human challenges: What is desirable from a human point of view? What do people really need? How can we help a brand like H&M meet its customers’ desire to use less plastic? And also help the retailer meet its climate goals by reducing waste from its supply chain? Insights drawn from in-depth interviews with and observation of customers and other stakeholders combined with data already collected by the organization help us generate hypotheses that we can quickly test. 

In the case of H&M, we suggested replacing the plastic packaging they used to ship online orders with paper. But there were many hurdles to clear to make sure that would work across a global supply chain with multiple brands. It ended up taking several months and multiple pilots to ensure the more sustainable packaging would work.

Finding out that something doesn’t work—and, crucially, why—sets you up to more deeply understand the constraints you're operating within. And reframing an abandoned concept as a learning rather than a failure allows you to prioritize continuous improvement, keep teams motivated, and build stakeholder confidence . 

Organizations may feel like they don’t have the luxury of time to test innovative ideas. But proof of concept needn’t take more than one to two weeks and can be done at low-cost. One timesaver is to test hypotheses in parallel. That approach also allows teams to let go of darling concepts and view the goal as learning rather than validation. 

By one estimate, 95 percent of new products fail, and baking failure into the exploratory phase helps ensure the product or service that emerges has been battle-tested. A hypothesis that doesn’t work out isn’t a Failure, it’s a failure, and that feels different. In the case of H&M, prototyping packaging options not only led us to a paper solution that cut plastic, it led to us digging deeper on climate goals and ultimately redesigning their supply chain to cut millions of tons of waste.  

At the roundtable, we talked about the challenge of working within a company culture that doesn’t tolerate failure. I’ve worked in a number of those environments and cultures; they’re tough. Failure carries emotional baggage. If you got a taste of it as a child and were a diligent but mostly average student like me, you did everything you could to avoid seeing that red letter atop a test ever again.  

I’m currently working within a culture that makes room for failure. Some of that is inherent in the design process, which is optimistic and pragmatic. But my colleagues also share an important mindset. They focus more on impact than the idea or activity that produces it. There is a deep respect for diversity of perspective and a shared belief that if there’s a better way to do it, we’re going to do it that way. 

In IDEO’s London studio, we have a framed, handwritten quote: “I don’t hate you, I just hate your idea.” It was never intended to be framed, but it’s a fabulous reminder about not taking failure personally. If we truly share a collective goal of doing well and doing good, we need to generate and test as many ideas as we can—and be okay with killing our darlings to get there. It’s the only way to make real change.

Is your intolerance for failure holding you back? I’d love to hear more.

Should we allow new ideas to fail?

Two of those shifts? Generative AI, and our rapidly changing climate.

‍

Together, these two forces are moving both the people side of the equation—what we need and how we behave—and the how side of design: what’s possible.

‍

Welcome to the Climate Era

A new age is upon us. Steam propelled the original Industrial Revolution; electricity powered the second; preliminary automation and machinery engineered the third; and cyberphysical systems—or AI-powered computers—are shaping the Fourth Industrial Revolution.

But the universal context is our climate. The Climate Era is our time-windowed opportunity to reverse the costs of the industrial and digital eras—creating a more abundant future for all. The way through it is to find ways to reinvent our economies, in part by turning necessary choices (like conservation and circularity) into desirable ones.

To the degree that the climate crisis can be solved, we already have solutions and technologies. The central question of the Climate Era is not can we do it? It’s will we do it?

‍

Hello, generative AI

If the challenges of the Climate Era have been building up over centuries, the transformative power of generative AI seems to have hit the world in a flash.

And this is a critical moment to interrogate our relationship with technology. At IDEO we do that through the tools and habits of design: building to think, taking time to understand people deeply, investigating the farthest consequences we can imagine, and embracing new skills, disciplines, and ways of being in the world through experiments.

‍

Combined forces

These two forces—AI and the Climate Era—have the potential to change everything for everyone. And in some ways, they already have. More often than not, AI and Climate thought live in different conversations. But what might happen when they’re brought together?

The pull of personality

Here’s an example of how AI might help us be climate-friendly manufacturers and consumers: It can help you get to know your clothes before you buy them.

We want and we need to build a circular economy. But its biggest challenge is scale: getting to the necessary infrastructure and processes, and—maybe the most challenging—getting enough people to participate.

There are signs of shifts at the policy level: You see it in Europe, for example, where the EU has a regulatory framework to promote (and require) circular behaviors from both businesses and consumers alike. And more and more people are participating in circular-like ways, such as thrifting. We see younger consumers pushing brands to become more active in developing and promoting sustainable versions of their products (so long as they’re not more expensive).

All that made us think about a pair of jeans.

Jeans lack the physical traits necessary for conversation. But, for an exhibit of speculative design at IDEO, we imagined them capable of communication. 

For starters: We might ask the jeans about their (un)life story, what went into their creation, or how they like to be treated. We might learn about where they were manufactured, their previous owners, and how to fix them if they ripped. Knowing all this about your jeans would give you a much better sense of whether they were a good fit.

Through AI, all of us will soon be conversing regularly with non-humans. And what else might “speak” through AI? Vehicles that remind us that they’re happier when filled with passengers and bound for the carpool lane?

‍

Speaking for the trees

Most of the sustainability problems we seek to fix were created in the design and strategy choices that were made early on in a product’s journey. The lifecycle analysis is a robust process. But it’s costly and generally retrospective, analyzing only those products and practices that already exist.

What about when we’re exploring different potential options and what could be, not what is? 

AI can help us incorporate a real sense of the “true cost” of a product and give nature a seat at the table early on. AI that draws on scope 1,2, and 3 datasets could help protect nature’s best interests in the decision-making phase. To be credible and useful, such an AI would need to synthesize scientific data, cultural data, and archives of experiments. And it would need to have some ability to understand the ground truth of things: learning from both human and technical inputs how things really are, right now, in the soil, in the ocean, in the community, and on and on.

With such a nature-centered AI in play, deployed ethically, we can imagine it occupying different roles and settings. As an advocate in the boardroom (where it might pose strategic questions or even cast a vote), or as an inventor in the materials lab (where it might suggest radically more sustainable ways to use resources and optimize production). ‍

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Everything in play

When we talk about making great choices in the Climate Era, especially at the policy or regulatory level, we’re talking about something unbelievably complicated. There are so many factors to consider, in so many dimensions.

And AI can help us think systemically. Take something like fishing. To regulate it, we need to understand  the immediate economic impact (such as business profit); the effect on communities and livelihoods; taxation and employment; the effect of granting more or fewer fishing licenses; how to balance production and protection of spawning areas); and biodiversity. AI can synthesize all of that information and data and make suggestions that expand our imagination about what’s possible. 

Another thing artificial intelligence has a knack for is running simulations. What if AI could help you simulate the tradeoffs among biodiversity, job creation/local livelihoods, and business success?

We imagined this kind of thing in a piece of work with our friends at Conservation International.

A simulation is often quite technical, and AI is already great at that. But we can also imagine an AI pushing people to consider their choices in other ways. What if it could point you to the right humans, on island nations for example, to enrich your understanding of potential impacts, far beyond your own frames of reference?

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The age of transformers

There are so many ways the Climate Era and AI, two transformative forces, might collide in service of building better futures. We picked out just three:
• Driving consumer adoption and adaptation by making things that are better
• Optimizing and reimagining production by giving nature a voice and a seat at the table
• Radically reworking how we make climate choices, especially at the largest scale

But, of course, they’re not the only transformers at work. We are, too. Especially those of us in positions of power and influence.

The Climate Era is here.
The Age of AI has arrived.
And it’s still our world to make and remake—for the better, if we choose.

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‍This article is adapted from a session delivered by IDEO in NYC at the 2023 FastCo Innovation Festival. With editing support from Christina Drill.

The problems we’re being asked to solve are changing. It’s less about helping partners innovate in incremental ways, and more about big transformational shifts in how we live and work.

In some cases, we knew nothing about the people we were trying to reach, so addressed them with the default direct marketing salutation, “Dear Valued Customer.” Finding the target audience was like being spun around blindfolded, then praying you were walking in the right direction.

Thirty-seven years later, we know virtually everything about everyone. Thanks to data mining and feeble privacy laws, we can pinpoint your exact location, health status, consumption habits, and, troublingly, what makes you laugh, cry—even think. All of that data is now being poured into the greased pan of generative AI where—we are promised—it will bake the most delicious cake, made just for us.

From direct marketing to AI-driven personalization, I’ve witnessed a transformation in how businesses reach their customers. We've never known so much about people, and yet we've rarely understood them less. In my view, using data alone to understand people has the same flattening effect as “Dear Valued Customer.”

But there is an antidote: Human-centered design.

Goodbye “Dear Valued Customer”‍

Once, at an international conference, I heard a speech by someone who worked for a large social media company. The premise of the talk was that a person’s “likes” could mirror their answers on a personality test. The more likes the social media company could analyze, the better they could predict a person’s personality—and to a level of accuracy that could beat what your friends knew of you; beat your family; and maybe know you better than you knew yourself.  

With that kind of knowledge, companies are able to design user experiences that feel like intimate conversations. But are they, really? Or is it only the illusion of intimacy—the hackneyed output of a data-driven predictive power?

It made me wonder: Is how we appear online—even to ourselves—who we really are?

Of course not. People are not reducible to their preferences. People contain multitudes. People change their minds, regularly and often. They respond to things that feel authentic and responsive to their experiences and identity—especially if they have historically been written off, underrepresented, or marginalized. 

The new customer, if we can imagine them in their infinite richness, has in recent times slogged through a global pandemic; discovered the unwelcome uplands of hiked interest rates and housing shortages; and likely contended with some form of professional burnout. Human lives are necessarily messy: You can’t rely on troves of data and canned messages to reach them, let alone persuade them. People can smell a door-to-door algorithm from a mile away. 

‍The best organizations are able to stretch how they think about their customers. The most successful businesses are able to understand and reflect back to people things that they don’t even know about themselves. ‍

‍The power of starting small ‍

In China, a client once questioned IDEO’s decision to root an entire concept in the preferences and needs of a small group of people. But when the product was delivered, the client recognized a level of human understanding that data alone could not achieve.

My time at IDEO has shown me that understanding people requires research at depth. For us, that often means ethnography, and you don’t have to have thousands or hundreds or even 50 people in the room to do it. What you need is a small sample of people with a diversity of lived experiences whom you get to know very well. 

Starting small requires designing with people and communities rather than for them, too. Innovation doesn’t spring from our heads as Athena from the forehead of Zeus; it's uncovered through the careful and considered use of tools, mindsets, and methods which we share with teams and communities.

‍Great organizations recognize that the work of understanding their customers is never complete. They continuously challenge themselves to listen and respond to what their customers are telling them, not only through data, but also by including them as co-designers.

The brutality of perfection‍

I once had a custom suit made for me for my wedding. To appear cool and unconventional, I asked for a red lining. The tailor wondered if I would still be fond of that red lining in 10 years. A simple question based on lots of experience. Upon a moment of honest self-reflection, my answer was, no, I would not. So, I followed his advice. I still wear that suit today; not once have I wished for a red lining. Of course, a company selling that same suit to me based on tracked preferences would’ve gladly hawked me any lining I wanted. But I am not sure I would trust that company again. I’d move on.

‍The organizations that will endure will be the ones that stretch their ability to deliver long-term, unexpected value to their customers.‍

I am thrilled by the possibilities of generative AI. IDEO’s experiments with emerging technology are as fervent today as they’ve ever been. And one of the qualities of which I’m most proud is our collective hunch that the most interesting opportunities lie in the messiest places.

That runs counter to the brutal attraction of data and AI in the current moment: an implied promise that an objectively “right” answer is within reach. Much of what we love in the world is so wrong it’s right. Perfect is not interesting, it’s not personal. In our pursuit of the spotless and ideal, we lose the essence that makes us human. The truth is, we value imperfection over perfection. 

New customer, new organization, new baselines ‍

I believe we’ve now reached an inflection point where many of us are experiencing a similar moment, only all at the same time. The last few years have changed how we work, how we socialize, how we spend our money, and how we think about our time. And we are being pushed to rethink how we do business, too. 

One of the baselines affecting us all is the arrival of the Climate Era. The planet reminds us daily that we have entered into a new normal. July was the hottest month on human record, impacting anyone who works outside or without AC—such as the drivers and  workers delivering boxes upon boxes to our doorsteps.

We can expect increased absenteeism and reduced efficiency, much more disruption to supply chains, and customers moving away from known polluters and toward brands that reward their conscience and their wallet. Climate regulation is coming too: The EU is working to impose tougher rules on  production and consumption in fast fashion.

Yet, while two-thirds of businesses are affected by climate change, few are doing enough to prepare for it. If we’re to avoid catastrophe, we’re going to have to redesign everything. And, if we want people to adopt Climate Era behaviors, we’re going to have to make things that are irresistible to them.‍

That means creating sustainable products and services that are simply better than the competition. By stretching to meet new and emerging customer needs, organizations can create products that people love and that are fit for the Climate Era.

When the instinct is to contract, great leaders stretch ‍

The SF adman Howard Gossage had this saying: “Nobody reads advertising. People read what interests them. And sometimes it’s an ad.” After 36 years as an advertising executive, I know better than anyone that we can’t always predict what will interest people.

But now, as the leader of an extraordinary community of designers, I know we have ways to help organizations figure it out. Creative, mind-bending ways that leaders and their teams can stretch to meet their markets and the new customer.

How? By continuously reassessing and expanding our understanding of what people want and need, with care, imagination, and sensitivity. We owe that to people, and we owe it to the planet all of us call home. 

Because in the end, the things that make our time here on Earth worthwhile are the things no algorithm can come up with on its own, no matter how much of the internet it’s ingested. They’re the irreducible things that make us who we are.

Early in my career, I worked on direct marketing mailers for British Telecom’s high-value customers.

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.