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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

In 2017, IDEO acquired longtime partner Datascope and integrated the company’s data scientists and engineers. Datascope team members aren’t just passionate data scientists; they’re human-centered designers who happen to work with data, as illustrated by successful collaborations like this one:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

At the time, even telehealth appointments were a rarity, until COVID-19 forced us to adapt. We brought human-centered design to the front-lines of the pandemic, helping design and launch new virtual care platforms, patient health and education platforms, and smart at-home diagnostics. Since then, digital tools have become a normal piece of the toolbox for providers and patients.

Now, digital health is shifting into another new era. M&A is accelerating, AI is shifting from back-office automation to real patient care. And a new administration is actively reshaping the regulatory landscape at a moment where patients are craving choice and transparency.

We’ve been designing for healthier human futures for over 45 years, shaping everything from patient therapeutics like digital diabetes programs to connected medical devices like smarter drug injectors, and clinical software like drug discovery tools. As part of that work, we’re always tracking the signals for what’s coming. Here’s what we see on the horizon in 2025.

1. Co-design is the key to M&A survival‍

Many digital health ventures that raised post-pandemic bridge rounds or early AI funding are running out of capital, which will trigger a new wave of mergers and acquisitions. The companies that survive won’t be the ones with the best tech or the most funding. They’ll be the ones that have built deep, system-wide relationships with health systems and payers.

Too many startups fail because they design for only one stakeholder—patients, providers, or payers. But viability only happens when all three are aligned. And the only way to achieve that is by designing at the intersection of desirability (what people want and need), feasibility (what is technically and operationally possible), and viability (what is financially and systemically sustainable). The solutions that last won’t just check one of these boxes—they’ll be deeply integrated into the way healthcare actually works. And to do that, the companies behind them will need to co-design with all three categories of stakeholders.

That’s what we did in 2024, when we partnered with the California Department of Mental Health and Kooth to create and launch Soluna, a free mental health and coaching platform for youth across California. To create a resource young people would actually use, we worked with more than 150 youth between 13 and 25 across the state to understand their needs, habits, and wants, shaping a platform that felt accessible, engaging, and supportive. To ensure Soluna could scale and actually work within the behavioral health system, we also navigated the constraints of government needs and co-designed with mental health practitioners to create back-office tools adapted to existing workflows. This is what co-design looks like—not just designing what’s desirable for users, but making sure it actually fits into existing systems.

2. Trust is crucial for high-stakes AI products

Some 70 percent of payers and providers have invested in AI to help with documentation, scribing, and automatable admin work. But the true potential lies in patient-facing care, like diagnostics, care delivery, and even clinical trials—but only if we design AI tools that providers and patients actually trust. This year, AI will  increasingly move into at-home care, especially in metabolic health and mental health. With GLP-1 drugs and metabolic surgeries on the rise, patients are going to need long-term personalized behavioral support. AI is perfect for that. In mental health, AI could help close the massive access gap by offering real-time support where no providers are available.

But none of this will happen unless AI is designed with patient trust in mind. We’ve seen firsthand how hesitant health plans are to extend AI beyond internal operations. But AI in healthcare isn’t just a data problem—it’s a human problem. The companies that figure out how to make AI feel safe, clear, and integrated into care delivery will define the next era of digital health.

3. Point solutions are great—but human-centered integration will make them more effective

Digital health is full of point solutions—condition-specific digital therapeutics like in diabetes, sleep issues, and brain health. These solutions have been critical in proving that traditional models of care can be improved with technology. But now, patients are juggling a phone-full of apps; a patient who downloads an app for meditation might need another for virtual primary care, another for weight management, and still another for chronic stress, each siloed in care team, data, and clinical recommendations.

The real opportunity lies in figuring out how to integrate these point solutions into conservative care models, trusted patient-facing brand names, and existing technology/EHR workflows. That means linking them to primary care, specialty care, and the broader health system—not expecting people to manage their own fragmented ecosystem of tools.

‍Maven Clinic does this well. Its mental health offering isn’t just a standalone app; it’s a wraparound service that connects to broader care. That’s the kind of design work we are hoping to see across digital health. As funding tightens and patient adoption slows, the future of digital health will be defined by integration.

4. AI-driven tools will soon replace entire departments

Digital health companies aren’t just pitching software anymore; they’re pitching end-to-end replacements for what were once human-run functions. Startups like InpharmD are using AI to deliver pharmaceutical recommendations at the clinic level, while Hippocratic AI is exploring drop-in AI nursing roles. These aren’t just AI-powered tools—they’re AI-powered workforces.

This isn’t just a shift in technology; it’s a shift in how healthcare organizations operate. If AI agents are going to supplant entire human functions, we need to think beyond just efficiency and automation. What happens to oversight? To decision-making? To the patient experience? The challenge is no longer just about designing better workflows. It’s about reimagining the future of work in healthcare.

5. New consumer choice offers a design opportunity

As people lose trust in the system, they’re looking for ways to take control of their healthcare choices. The question is: How will they actually make them?

With pricing transparency, new payment models where employees buy their own insurance and get reimbursed, potential regulation of pharmacy benefit managers, and a growing dissatisfaction with employer-based insurance, consumers are increasingly getting to choose which provider to see, what treatment to try, and how much they are willing to spend. But the interaction for how that all happens is still up for grabs. Will it happen through provider-led conversations? Employer benefits and brokers? Text-based interfaces like ChatGPT? Or will a new wave of agentic AI help people weigh cost, risk, and treatment options in real time?

So far, no one has cracked the interaction model for healthcare choice. IDEO and Newton-Wellesley Hospital pioneered one method with a concept called “Care Modes,” that allowed patients to decide the approach for how they receive care. The chosen mode flowed into every interaction at the hospital, even adjusting how health information gets logged in the EHR. But options like this are just the beginning.  The future of how people interact with complex healthcare decisions is still wide open. The challenge ahead isn’t just about giving people more data—it’s about designing how they engage with it, trust it, and act on it.

6. Designing for behavior change is still the foundation

Designing for behavior change is one of the most competitive and well-researched areas in healthcare, but there’s still so much room to grow. For the last decade, I’ve taught a course on Designing for Behavior Change at Stanford, where students work directly with patients to develop real lifestyle changes. Over the years, we’ve learned that the most effective interventions involve more than just habit tracking or designing nudges; they also create systems of accountability, community, and self-awareness in a way that aligns with people’s actual lives. That’s why observation and in-context research matter so much.

There’s a big opportunity to rethink how digital health supports long-term lifestyle change—whether that’s reimagining SNAP and WIC programs, integrating AI into personalized coaching, or pulling insights from the most engaging consumer and social platforms.

Prioritizing human-centered design

With so many problems to solve in our health care system (not to mention new ones popping up), there’s no limit to the possibilities for innovation in digital health. But our job as designers is bigger than just making things work; it’s to make a healthcare system that prioritizes user choice, deepens trust in the system, and uses the newest cost-saving technology, while integrating into the existing ways patients access care. That’s how we can drive radical transformation, by putting people—not just business or technology—at the center.

Thanks to Jennifer Lo, Ari Adler, Juho Parviainen, and Jesse Fourt for suggestions.

Four years ago, my colleagues and I were frantically working to bring the promise of digital health to a world in crisis.

What really brings value—and for what purpose—particularly in an era when budgets are tight? Similarly, folks focused on UX research argue that we are in the middle of a “reckoning,” questioning its ROI in certain contexts. Others disagree.

As this tension builds, the world of generative AI offers a new proposition: AI-generated—aka synthetic—users. Here’s the pitch: Are you sick and tired of going through the cost, time, and difficulty of crafting a research plan, finding participants, and creating thoughtful questions? Are moderated exploratory sessions and usability tests taking too long to conduct and synthesize into something actionable? There is a solution: generative AI tools that will simulate what real people might say and then feed it back to you instantaneously. Perhaps even synthesize it automatically!

The synthetic users proposition is meant to be a silver bullet. Already, folks are using it, skipping the time, cost, and hassle of doing research with real people. As leaders in this space, we felt obligated to take it seriously enough to try it out (with a healthy mix of skepticism and optimism).

As one of our teams kicked off a project to improve rural healthcare, they decided to enlist the help of ChatGPT to provide synthetic patient and practitioner insights, using several GenAI tools to create artificial users to interview. It turns out, after three weeks of swimming in a lukewarm sea of AI-generated information, all we needed was one hour with one real flesh-and-blood patient and a human physician who works with marginalized communities in rural areas to show us just how deep and complex real human experiences are—far more than our artificial users could convey.

What design research accomplishes vs. what LLMs can deliver

Relying on synthetic users—really just a lot of data in an LLM model—isn’t just bad for practitioners; it’s bad for business outcomes, and the people we’re designing for and with. AI is unable to provide the key ingredients of research that are critical to our work:

‍Important tangents‍

In open-ended interviews, we follow the lead of participants, inviting them to take us on their journey, even when—or especially when—it seems to deviate from what we thought we were going to talk about.

‍Unexpected insights

Looking at something from research participants’ points of view leads to things we never would have learned otherwise, and creates sparks of insight that help us shift priorities or radically reimagine the problem we’re trying to solve, as well as potential business outcomes.

‍Context clues

When you spend time in someone’s home or place of work, their artifacts, photos, prized possessions, accidental intrusions from family members—and a host of other things—can dramatically alter the course of a research experience and lead to new insights.

Contemporary generative AI products enshrine design principles and methods of working that run counter to what we know about good research practice.

‍People pleasers

They are designed and trained to please you and be helpful. Sometimes participants try too hard to be helpful as well, but researchers are trained to sense this and dig further. There’s nowhere to dig further with a synthetic user.

‍Emotionless entities

Contemporary LLMs lack authentic emotion. They don’t leave the markers and cues that participants often drop to signal there might be more to learn. And if you want a more emotional response, then it’s up to you as a researcher to prompt it—which defeats the whole purpose of doing research in the first place.

‍A shallow context pool

LLMs have to be fed the right context. They can’t say unexpected things beyond what you’re already asking about. Meanwhile, researchers are only able to define what’s relevant as the process unfolds.

‍Forced assumptions

Actually writing a prompt that gets you meaningful answers requires you to make a ton of assumptions about what you might learn.

A disembodied “person” composed entirely of data, which has been synthesized by an LLM looking at vast collections of other disembodied artifacts or words, simply cannot provide the insights and discoveries that research is designed to produce.

Others agree.  Even ChatGPT. When we asked it, “Is it ethical to use synthetic users instead of real ones?” ChatGPT told us, “Users provide valuable qualitative feedback, emotions, and insights that synthetic users cannot replicate. Overuse of synthetic users might result in missing these important human factors in design.”

Or, as researcher Christopher Roosen puts it, “Using synthetic humans for direct research is like navel gazing, but not at our own navels, but into the great messy, cluttered, and often- disgusting navel of the Internet-with-a-capital-I. The solution isn't to make up fake people. It’s getting better access to real people.”

Scrappy ways to accomplish the same goals

Design research can feel like it takes too long or is too speculative or unrewarding. Sometimes, it can lead to a lot of swirl, creating an anxiety gap between insights and the creation of new solutions. There’s also the real problem of resources. Or maybe your stakeholders are looking for immediate results. It’s reasonable for teams to wonder how they can take a more direct path.

But that doesn’t mean you have to discard human-centered research and design altogether. We too are often working on tight timelines, and having to find scrappy ways to get real data from real people. Here are some practical strategies for even the most shoe-string budget.

Friend and family interviews

You should strive to recruit a balanced sample of research participants and work to eliminate any bias baked into the sample design. But doing design research—especially in the early stages of the process—is different. At this stage, it’s actually beneficial to embrace the bias of the sample and use it as a tool to learn. Talking to friends and family to get feedback on early concepts is a viable way to recruit research participants—so long as those people care deeply about the subject matter and you understand the limitations of their perspectives.

Diary studies

When you want to quickly get data from people’s daily lives, often over a specific period of time, diary studies—having people log daily activity or respond to specific prompts throughout their day—come in handy. The size and scope of data you can study can be tailored to meet your immediate needs: You can ask participants to log their habits and thoughts throughout the day in a text or audio journal, take photos and videos, and reflect on your product or similar ones. There are even platforms like dscout that streamline the recruitment, data collection, and analysis process. In one diary study, we asked  a couple dozen participants to show us the moments that mattered in their week—which completely changed how we design for major TV moments in the streaming era.

Intercepts

An intercept is a quick conversation with someone in a physical context. Where better to discuss a hospital’s waiting room experience than in that same waiting room? While the insights from intercepts are often targeted and specific, they’re ideal for quick, actionable feedback—and relatively inexpensive, too. On one project, we showed up at a major home appliance retailer to talk to customers and associates about the problems they were trying to solve together. We discovered that people often came in for a face-to-face interaction that would help them decide whether to repair or replace their home appliance. But while associates were eager to solve the problem, they felt incredibly ill-equipped to do so and could only offer anecdotes based on personal experience.

Expert interviews

Experts not only bring knowledge, but also intuition that can only be acquired through lived experiences, critical perspectives, and sometimes even information that may not be widely accessible. When our colleagues worked on that project to improve access to healthcare for rural populations, talking to one expert in that field gave them the broadest view of all the challenges that population is facing and helped them design for it with greater empathy. Instead of trying to create something purely digital, the team pivoted to creating solutions that foster trust and understanding between the doctor and patient.  

Expert interviews are typically more expensive (they can range from $250 to $1000/hr depending on your expert) but luckily, you don’t need too many of them. You can also think broadly about what qualifies someone as an expert. Communities tied together by a common interest (e.g. Reddit) may get you a different kind of expertise than the capital E experts available for hire.

Social signals

If all else fails, sometimes it’s more impactful to hear the opinions of people directly through the data they leave behind online in the form of posts, comments, and reviews.  Subreddits visited by particular interest demographics, trending topics on social media sites, and product reviews can uncover deeper insights around people’s true feelings and experiences, both bad and good.  When we worked with a music gear manufacturer dealing  with increased returns and customer dissatisfaction, a simple analysis of their own review data helped us identify specific problems, and customers’ suggested solutions.

Looking ahead

Generative AI and LLMs are very useful tools that we’ve embraced in many of our distinct design crafts. And we still believe that there is an opportunity to use LLMs in design research. They can help us think about problems in new ways, help shape a research plan, and guide interviews. After all, LLMs do have access to a wide variety of material that could be quite inspirational in planning phases—so long as we realize they are not providing insights from real people. At least, for now. (We remain open to what the future might bring.) Because today, unless you’re designing for LLMs, not accounting for real human input is a shortcut to nowhere.

Design research is at an inflection point. Practitioners and budget-setters are going back and forth over whether it’s worth the time and money.

Her home page had been crowded with English content and an attention-grabbing hashtag: #TikTokRefugee.

For years, Chinese and American netizens have largely lived in separate digital spheres, playing within their own ecosystems. But thanks to the change in TikTok’s legal status in the U.S., all of a sudden, we’re seeing a digital cultural exchange. On Red Note, people from the two countries are helping each other solve math problems and complete English assignments. They’re sharing photos of their pets, homes, food, and cities. They’re even fact-checking with each other about life on the “other side”—like what authentic Chinese food looks like beyond what’s offered at Panda Express.

We don’t know how long this migration of users will last, but it hints at what could be the beginning of a social experiment that could reshape norms, trends, and the way global internet cultures interact.

For us, two technologists, one currently living in Shanghai, working on a project on Chinese content creation and e-commerce platforms, this digital mingling kicked off a big conversation about what designers from different cultures can learn from each other. After all, firewalls have led to us building our tech ecosystems in totally different ways, with different design sensibilities and cultural use cases. And it’s really fun to see these two digital cultures coming together in one app.

Here’s what we’re learning from exploring this cultural exchange.

💫 The power of shared digital spaces to bring people together

We’re always fascinated to see what happens when two people who are siloed connect with each other as human beings. On Red Note, people are finding ways to learn from each other, sharing photos of their pets and families, and asking  authentic questions like, “May I have the pleasure of seeing the streets of America as you see them? ” Meanwhile, the folks who came from TikTok are trying to learn Chinese terms, and even taking quizzes. These spontaneous exchanges are more than casual interactions; they hold immense potential to create a powerful inspiration pool for intentionally designing spaces for connection and positive interaction. It’s an opportunity to uncover design hints and signals for commercial and social innovations, inspired by shared values, behaviors, and the nuanced differences between users.

🔮 Cultural cross-pollination

Behaviors that developed organically in one context are already getting adopted by the other. For example, the "😺 cat tax" concept from Reddit—a friendly requirement to share a photo of your cat to participate—has made its way into Chinese social platforms, blending humor and engagement strategies from Western online spaces with local norms. Slang from both sides is proliferating; American terms like LOL, AMA, JK, as well as Chinese ones: XSWL (laughing to die), NB (really really good). This cross-pollination feels like a preview of a future where internet cultures from the U.S. and China become even more intertwined.

📲Shifting data privacy norm

On a recent project on interaction design in content creation platforms, we found that some users from China, the U.S., and the EU were unfazed by the idea that the platforms are collecting and using their data. As one participant told us, “It’s okay to use my data for training if it gives me a better experience as the payoff.” Meanwhile, some American users on Red Note said they were knowingly trading data privacy for community (in slightly less polite terms).

While this sentiment doesn’t align with traditional data privacy ideals—prioritizing minimal data collection, strong user consent, and transparent usage practices—it highlights how people crave connection and great experiences, and are sometimes willing to pay for that with their data. It’s a nuanced area that presents both opportunities and challenges for designers and tech creators—and one where they need to tread carefully. Consent is extremely important, and experiences need to highlight choices to opt in, surfacing microexplanations for new users clarifying how their data will be used or implementing scenario-based toggles that help users understand data sharing.

😻Unique engagement strategies

While researching Chinese digital products, we noticed a fascinating norm: many apps cultivate unique ways for users to address each other. On Red Note, for instance, users don’t call each other "bro" or "buddy" but instead use "sister." This stems from Red Note’s design strategy, which intentionally engages female users by fostering a female-friendly community that feels safe, authentic, and supportive. It’s a small detail with a big impact, shaping how users interact and building trust through thoughtful, culturally-tailored design. It’s also a great lesson in intentionality.

👥A wider range of features and use cases

Many apps created in Western context have one function that they do really well. Think Pinterest, Uber, Zillow.  But if you spend time using various apps in the Chinese tech market, you’ll discover there’s a lot more usability and depth to the products. For example, at face value, an app like Red Note could be seen as an Instagram-style app focused on real-life story sharing. But it also has a ton of deeper features: it’s heavily social, commenting with self-moderation on things like political speech, livestream, notes, and more. China’s UX designers have figured out how to distill the purpose of a product, and create deeper dimensionality in a way that aligns with user needs, and makes it easier to express yourself and accomplish goals on the platform..

🌎Protecting culture

The influx of new users and ideas is transforming platforms like Red Note into vibrant spaces for creativity, commerce, and cultural exchange. This evolution raises questions about how global norms and trends will influence—and be influenced by—local platforms, potentially reshaping the landscape for content creators and businesses.

As delighted as we are to watch and learn from these interactions, we’re very aware of the power of globalized social media to flatten cultures. Part of the fun and learning here is that they are so different. But that offers yet another design provocation: How can we balance connection and understanding and cat memes between people without flattening culture? That’s a question we’ll continue to explore.

Last Wednesday, when Zoey opened Xiaohongshu ( aka 小红书” or Red Note), her go-to Chinese social media app, to scroll through some of her favorite local food, fashion trends, and K-Pop content, she discovered something unexpected.

We headed there together—Keren to speak on a panel about raising AI kids responsibly, and Dan to meet with clients and partners and check out what’s coming in the world of media and technology.

What stood out most was the contrast between our panel discussion—where we focused on how AI can genuinely enhance kids’ lives in meaningful ways—and the exhibit halls, where much of the tech seemed designed to become the centerpiece of daily life. There were some promising ideas, like digital health assistants and travel concierges, but it was clear that many companies were betting on people reorganizing their lives around their products. That could be a tough sell for consumers, and one that leaves a big opportunity for companies to design technology that integrates into people’s lives, amplifying what they already value and care about.

Here were the most interesting things we saw, heard—and wished we’d seen.

Things we heard

Kids aren’t impressed by AI alone: While adults can go ga-ga over everything AI, Keren’s co-panelist, Joshua Garrett, COO of Readyland, astutely pointed out that though adults might feel an experience is magical because of a novel tech interface or capability, kids aren’t wowed by the flash if the experience itself doesn’t deliver. At the IDEO Play Lab, we often see that adults will try to figure out how to make a product work because they're too embarrassed to admit they don’t get it. But kids will tell you right away if something isn’t intuitive. Youth have also told us directly: They want a chance to learn how to form relationships with real people, not a chatbot that might stunt their emotional growth during their formative years. While these insights were focused on designing for kids and youth, the idea of novelty wearing off applies to any audience. During our panel, there was consensus: Just because something can be automated or replaced, doesn’t mean it should be. There are the human moments we should hold on to and protect.

Things we saw

‍Smart glasses galore (or wearables that go anywhere but your wrist): On the way out of the CES showroom we were overwhelmed (well, almost) by just how many versions of smart glasses there were, not to mention all the people in line waiting to try them out. The Xreal/BMW partnership was particularly packed, and won a bunch of “Best of CES” awards. We were particularly intrigued by Rokid’s approach to the device, which included a separate controller and ability to take off your prescription glasses (a big win for Dan!) and adjust the image quality in the lens. For now, it seems like the smart glasses market is still in flux, and popularity will be determined by how well these companies pitch something that fits different social moments (e.g. being the passenger of a car, sitting on an airplane, hanging out in cafe, walking down the street, just saying hi to a friend, etc). One thing that still felt way underdesigned? The audio experience and the relationship between the glasses and the audio devices you might already have.

‍Creator tech ISO heart: As with most hype cycles, buzz around the creator economy has risen and fallen many times over the past few years. Are we on our third spring? We saw plenty of “pro creator” tools that can empower users to do everything from quickly capturing human motion (inertia-based motion capture and animation—no room sensors needed) to importing image assets with nothing more than a bluetooth connection and to software developer kits (SDKs) that enhance immersive experiences. Before, only professionals could access these powerful tools; now anyone (with the budget) can build an immersive game. Still, amid all this progress, it felt very refreshing to have dinner with execs in the creative space who emphasized the need for human stories and heart. The challenge isn’t just making creation faster; it’s ensuring the stories these tools help tell resonate on a deeper level, connecting with audiences in ways that transcend the tools themselves. After all, it’s the heart in the work that keeps audiences coming back.

‍IP content flywheel: Some of the longest lines we saw at this very techy tech convention were for the The Last of Us proof-of-concept immersive experience and the Demon Slayer photo opp at Sony. The uptick in location-based entertainment (aka, experiences that let people live out their fandom IRL) is a good reminder that characters and connections are the thing. The tech was in service of the experience. On the other end of the spectrum of the storytelling medium, at the Variety Summit, we heard about how webtoons and anime—long popular in the Asian market—are now finding incredible traction in other geographies. It was somewhat of a full circle moment for those of us who were coming of age during the era of LiveJournal and lo-fi sketches. There’s something nostalgic and comforting about the quick drawings and the 2D experience of absorbing a story in that way that appeals to users in the age of high-speed and seamless experiences. It’s a good reminder that some experiences benefit from slowing things down.

Things we wish we had seen

‍Solutions to big human problems: We were really hoping to see some innovative approaches to some of the looming problems we’re eager to get working on—like decades (centuries?!) of under-investment in women’s health. (And we’re not talking about period-tracking apps, either.) There is such a large opportunity area here.
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We did really appreciate the AgeTech section, which was sponsored by AARP. Believe it or not, 2024 was actually known as “peak 65,” the year when the largest-ever number of Americans ever hit 65 at once. We need new solutions and interventions to support dignity and care in the aging process, improving not just the physical health experience, but mental and emotional health too. Some of the things we saw were cool and fun, like versions of classic games, tailored to audiences of different abilities, making it easier for families to connect. We’re hoping to see more solutions like this, that extend care beyond capturing health metrics, designing for delight and connection, which are important for longevity and joy.

Need help solving a problem in one of these opportunity areas? Get in touch. We’d love to hear from you.

This year’s Consumer Electronics Show (CES) was a whirlwind of AI—in your kitchen! In your car! In your bedroom!—smart glasses, “pro-creator tools,” and new media experiences (see-through tv screens, anyone?).

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.