

A student-centered cafeteria experience
Reimagining the food system in a large district.
To bring students healthy food at school, San Francisco Unified School District had already hired Revolution Foods, a caterer that serves some of the highest-nutrition meals in the nation. But when the lunch bell rang, 72 percent of those who could afford lunch weren’t showing up; students didn’t want to wait in the long lines or rush to finish, so they headed off-campus to eat.

Working alongside more than 1,300 students, parents, union leaders, nutrition staff, board commissioners, principals, teachers, and community groups, IDEO and SFUSD redesigned school lunch. Together, they developed recommendations for three age-appropriate dining experiences, from communal eating to student-designed spaces to new technology platforms, and worked to develop a robust business model.
In September 2013, the San Francisco Unified School Board expressed unanimous enthusiasm for IDEO’s work, clearing the path for this new vision of student-centered lunch to take root.
You can learn more about the cafeteria, and hear firsthand from the students, in this immersive, interactive story.


Redesigning where we work and learn
An evolving relationship between Steelcase and IDEO that positions the company as a leader in shaping our work environment.
Steelcase and IDEO have been collaborating for more than 25 years. The relationship has influenced furniture design across a range of environments, from work spaces to hospitals to schools, and has resulted in numerous design awards for iconic pieces like the Node Chair for classrooms and the innovative modern office chair Leap WorkLounge.
At the heart of the relationship lie trust and a spirit of collaboration, said IDEO founder David Kelley, allowing the space for innovation. “It has to be the collaboration between our inherent innovation capabilities and their extraordinary internal knowledge about the market and what they do best,” Kelley said. The way IDEO began working with Steelcase decades ago has influenced the way they continue to work today, involved in all areas of the business, from design and engineering to strategy and marketing.
The first collaboration in 1989 was for a new Steelcase division called Details, and featured desktop products to go along with its already successful line of office furniture. From the beginning, IDEO founder David Kelley and a group of designers were involved in helping Steelcase with decision-making on every level of the new division, from product strategy to hiring and everything in between. The particular blend of strategy, design, and engineering used to help Details become successful actually became the prototype project for the future IDEO, and is the blueprint for how IDEO works today.
What followed were a series of projects in which Steelcase and IDEO explored moving away from the traditional office cubicle toward furniture that was more architectural and open. More than 10 years ago, Steelcase noticed that the way people worked was changing from static work in offices to more fluid environments that were technology-enabled with laptops and mobile phones. This insight led to two collaborations, Room Wizard and media:scape, design efforts that captured this changing landscape by extending intelligent work to be supported by digital products, not just physical ones.
Jim Hackett, former CEO of Steelcase, said that an early brainstorming exercise in IDEO’s Palo Alto studio made him realize the power of a human-centered design approach. “They asked me to come to Palo Alto for a brainstorming exercise, so I went through the literal exercise that IDEO was having clients do at the time,” Hackett said. “As I was cutting foam core on the floor of one of the studios, I was thinking: I would never work the same way again after doing this. Not just designers should work like this, but anybody who is a knowledge worker should work like this.”
The collaboration’s many successes had a profound impact on Steelcase, and on Hackett personally: “I’m so humbled, I can’t even express it. I can’t tell you how many waves of joy come over me when I’m at IDEO. It’s just an extraordinary part of my life.”
Over the years, the two companies have been in nearly daily communication, a practice that has informed the work of both. While Hackett brought Steelcase’s perspective of corporate boardrooms and running a global company, Kelley and IDEO were working in the most innovative place in the world, saturated in design. Both companies agree that neither would be the same today without the experience gleaned from the other.

Some of the projects include:
RoomWizard
Aiming to connect the convenience of digital technology to physical spaces, the teams designed RoomWizard, a web-accessible touch-screen display that provides the real-time status of shared meeting rooms, simplifying the process of reserving and managing those spaces.
Leap WorkLounge and Ottoman
Building on their earlier work on the Leap Chair, the teams created a work chair with the comfort and style of a classic club chair, a luxury Leap Chair that takes work away from the desk.
i2i Chair
In researching the needs of a growing number of collaborative settings, Steelcase identified an opportunity to combine task and lounge seating. Named for the collaboration it enables, the i2i chair supports a variety of postures, including sideways, reclining, perching, and leaning. Winner of the Spark Gold Award, 2010, and the IDEA Silver Award, 2009.

Amia Chair
Steelcase and IDEO designed a task chair with modern ergonomic capabilities that accommodated a wide range of body types at a lower price point. Winner of the IDEA Bronze Award from IDSA and BusinessWeek, 2009.
media:scape
Steelcase asked IDEO to help evaluate and design a “walk up and connect” experience that merged furniture and technology to help teams access and share information. Designed to look light, open, and inviting, media:scape used a pedestal table with cleverly embedded hardware and interactive technology to foster group work. Winner of the IDEA Bronze award for Office & Productivity, 2011.
Node Chair
IDEO collaborated with Steelcase to design a platform for improving the classroom experience. The final product, dubbed the Node chair, has received praise for promoting student collaboration, allowing educators to reconfigure classrooms to fit different teaching styles, and enabling institutions to save money by making spaces more flexible and accommodating for varied uses. Winner of five design awards.
Watch: A love letter to Node.


Planned Parenthood's new way forward
Designing innovative, patient-centered experiences for a healthcare pioneer.
A great healthcare experience shouldn’t be a luxury. It should be available to everyone, regardless of who they are, where they live, or what they need.
Planned Parenthood health centers have opened their doors to every woman and man for 100 years with this core conviction, offering services ranging from pap tests, cancer screenings, and breast exams to contraception, treatment for sexually transmitted infections, counseling, and education.
As the healthcare landscape continues to shift, Planned Parenthood is evolving to lead the progress. For the past year, the organization worked side by side with IDEO to rethink and prototype a patient and employee experience that elevates individuals and their health and well-being.
Together, the teams designed a number of patient and employee interactions and corresponding prototypes that address different patient needs: education, personalization, connection, and support for any decision.
Concepts in Development
These concepts are being rolled out across health centers around the country:
Welcoming Waiting Areas
To help set the right tone for patients from the time they enter the door, the teams designed waiting rooms that offer different types of environments for different needs. The Hub is an area that transforms the passive waiting room experience to a greeting area that’s staffed by knowledgeable guides who help orient patients, and quiet nesting spaces for reflection and privacy. Patients can spend time with friends and family in a social, kid-friendly common area, and those who want to get involved to support Planned Parenthood’s mission can learn about health and advocacy information. This modular design toolkit can adapt to the individual buildings, budgets, and community needs of any existing Planned Parenthood health center.

Restorative Recovery Rooms
For women who are recovering from surgical procedures, small thoughtful details have a magnified positive impact. Redesigned recovery rooms have been separated into semi-private spaces, accommodating loved ones who want to join patients after a procedure. Soothing colors and soft, warm fabrics create a comforting environment, and service gestures including cards with words of support and encouragement from staff reinforce Planned Parenthood’s promise. A take-home kit provides clear information about what to expect during recovery and recommendations for follow-up care.
Unifying Employees
Because the heart of Planned Parenthood is its dedicated employees, we developed and launched an engagement and training program that provides staff with the tools and support they need to do their best work. In This Together, an employee engagement training, prepares staff to work with a vastly diverse community, reduce stigma around health choices, and empower patients to take control of their care. It’s based on a clearly defined set of workplace values and service standards, common goals that help employees across the global organization work together to provide top-notch experiences at every location.
Vision for the Future
These concepts are in varying stages of development, with plans to launch coming soon.
Patient-Physician Tool and Educational App
Visit Companion is a prototype for a suite of digital tools that help patients learn about their reproductive health choices and create personalized plans with their clinicians. While they wait, or anytime before a visit, patients can learn the answers to common questions related to their appointment and see side-by-side comparisons of their care options. The app uses familiar language and symbols to describe symptoms and side effects, and it provides a record of what was discussed during the visit as well as reminders for follow-up appointments.

Simplified Medical Forms
For the 2 million-plus patients who visit Planned Parenthood health centers, there’s an opportunity to make appointments more convenient and straightforward. Currently in prototyping stages, Friendly Forms is an easy-to-understand, interactive digital questionnaire written in simple, conversational language that was designed by replicating how Planned Parenthood clinicians speak to their patients. The forms adapt as patients answer questions, giving only the prompts that are relevant. Patients will be able to complete Friendly Forms any time before their appointment, so it’s easier to complete the forms accurately.
Holistic Women’s Health Care
Women who rely on Planned Parenthood for their sexual and reproductive healthcare can benefit from having trusted clinicians guide their care throughout their lifetime. Through the Well Woman Plus program, Planned Parenthood will connect women to trusted providers for care beyond physical exams and birth control consultation. Clinicians will use interactive digital and physical tools to map out lifelong health care milestones and help patients think proactively about their future, from family planning to preventive screenings.
To learn more, go to PlannedParenthoodExperience.org.
Find out more about Planned Parenthood's approach to creativity in this Q&A with executive vice president and chief brand officer Dawn Laguens.


Launching an innovation lab to benefit Peruvians
Catalyzing rapid growth and transformation within a broad portfolio of businesses, including retail ventures, healthcare services, insurance, and banking.
La Victoria Lab (LVL) is a group of designers, anthropologists, architects, and entrepreneurs working on improving the lives of the Peruvian middle class. Founded in 2014, LVL is the Innovation Lab of Intercorp, an economic group of 35 companies spanning banks, malls, cinemas, schools, health care clinics, and more. Intercorp was founded by Carlos Rodríguez-Pastor, one of Peru’s most successful entrepreneurs, employs more than 90,000 people, and accounts for almost 4 percent of the country’s gross domestic product.
Peru is one of South America’s fastest growing economies, with a healthy 6 percent year-on-year growth from 2007 to 2017, on average. That rising economic tide, along with government policy, has created extraordinary social mobility: Between 2005 and 2017, the share of poverty fell from 55% to 22%, of a population of 32 million.

Know The Customer
As Peruvians’ lives have improved, the new middle class's needs and aspirations have changed: They’re entrepreneurial, expect great services, and want the best for their children. That challenge and opportunity led Rodríguez-Pastor to enlist IDEO to bring our empathic approach to the construction of Innova Schools, a new school system, and to redesign Interbank's customer experience"
Success in these two projects bred ambition. Intercorp, Rodríguez-Pastor realized, needed to build two capabilities: a deep, bedrock understanding of the new middle class, and an innovation capability with which his companies could create new products, services, and experiences. “I want a little IDEO,” Rodriguez-Pastor said, and the germ of LVL took root.
A Lab Takes Shape
In early 2014, as contractors broke ground on the Lab, its founders set about hiring an eclectic team from across the globe and undertook their first project: to deeply understand the needs, desires, hopes, and dreams of the emerging middle class.
Three months of ethnographic research was followed by three months of bringing their insights to life. LVL’s team surrounded themselves with mementos of people’s lives: toys, products, ads, as well as video interviews with families, to help Intercorp’s executives literally step into the lives of their prospective customers.

Solutions and Skills
Powered by those insights, La Victoria Lab has brought human-centered problem-solving to a variety of Intercorp’s companies, including new retail ventures, and improving the cinema-going and banking experience.
In 2015, the Lab began scaling its efforts to build innovation capabilities across all of the portfolio companies by using IDEO’s innovation readiness assessment, Creative Difference. Each company received a report of their strengths and improvement areas, and as a result, LVL facilitated workshops and community groups focused on building essential capabilities.
"Creative Difference is the first tool that has allowed my team and the organization to have a precise picture of where we are in the spectrum of doing truly innovative work. Now, we can identify our strengths and areas of improvement, we can develop work plans and actions based on data, and can start to really dig deep into innovation,” says Aurelia Alvarado, Director of Innovation, Innova Schools.
La Victoria Lab’s experiments are catalyzed by Intercorp’s scale, reach, and national ambition. Innova Schools, for example, is now Peru’s biggest private school network (read more about Innova here). And Interbank’s new retail experience rolled out to more than 180 branches nationally.
As LVL matures, its focus is changing, says Hernan Carranza, Chief Innovation Officer, Intercorp. “There's a transition taking place at La Victoria Lab, from a studio undertaking typical design projects, to a platform for impact-led journeys that start at pipeline discovery, defining key performance indicators, all the way to implementation and stewardship."

Just as important as the projects it delivers is the wider intent of LVL. The aim is for IDEO’s role within La Victoria Lab to wane, as Intercorp’s waxes, and the company’s internal Innovation capability and culture strengthen. LVL’s ventures range from mindset-changing initiatives, such as curating Peru's largest innovation festival, to deeply transformative endeavors targeted at reinventing the core value propositions of Intercorp's insurance, drugstores, and medical services. It envisions massive cross-organizational transformation.
“Innovation,” said Rodríguez-Pastor, “is too important to be outsourced.”
Keep up to date with the latest projects from La Victoria Lab: lavictoria.pe
"For the latest developments on our work with Intercorp, head to "The Possibilities Business: An Oral History of Organization Transformation"


Rebuilding trust with AI
How personalization can change the game for financial services and health insurers.
If you ask consumers whether they trust their bank or health insurer, the answer is often lukewarm at best. Traditional financial institutions are seen as opaque, distant, and—in the worst cases—extractive. In a recent survey, barely a third of people thought their bank was being honest and transparent about costs and fees. But this narrative misses a subtler, more hopeful trend: The very technologies customers once feared as “creepy” are now opening a path toward rebuilding trust—not by hiding behind compliance and branding, but by providing real, personal value that people experience every day.
At the heart of that opportunity is AI. But not the generic, algorithm-as-black-box that so often gets headlines in the press. I’m talking about AI designed to help people, surfaced in ways that feel insightful rather than intrusive, and that elevates the relationship between individual and institution. It has the potential to rewrite our skepticism of digital products.
The myth of the “creepy algorithm”

We’ve long assumed that consumers recoil at AI and the use of personal data. But emerging evidence and our own work at IDEO suggest a more nuanced truth: People don’t mind institutions using their data if the outcome is genuinely helpful.
What consumers resist is not personalization per se, but value extraction masquerading as personalization. They reject opaque upsells, hidden fees, and pricing strategies that leverage data solely to maximize profit. Anyone who has filed their taxes with the most popular online filing software can attest to the repeated (and difficult to decline) requests to use their tax data and share it with third parties, or to pay for add-on features of dubious value. But consumers welcome insights that feel like guidance—a personalized budget forecast that suggests paying down a mortgage faster, or a care recommendation that anticipates a chronic condition based on patterns in medical claims.
Financial institutions need to know their customers to help them meet their goals, not just the company’s bottom line.
When AI becomes a bridge, not a barrier

This distinction reframes the role of AI from a technical feature to a trust-building mechanism across two dimensions:
Predictive empathy: AI can surface insights that anticipate people’s needs before they articulate them. Imagine a health insurer that detects early patterns of risk in claims data and nudges members toward preventive care—with clear explanations and options—rather than waiting for a crisis.
Clarifying complexity: Financial and health decisions are inherently complicated. Consumers often feel alone with high-stakes choices—choosing a plan, managing costs, planning a life event. AI can simplify decision pathways, outline “what good looks like,” and benchmark personal choices against broader patterns of positive outcomes.
This is not theoretical. Customers are more open to institution-driven AI guidance than third-party general-purpose AI tools, precisely because of contextual relevance. While 79 percent of US consumers are uncomfortable with AI providing medical advice, a majority are open to AI supporting tasks like after-visit summaries and follow-ups.
In recent work we completed for a network of financial advisors, for example, we found that a customer’s trust in their financial advisor alone was not enough. They needed to believe that the plan presented to them met their needs and was likely to succeed, given the current market and their own financial situation. Unfortunately, too many financial institutions are seeing an opportunity to replace people with machines. When, in fact, there’s now an entirely new opportunity space of using generative AI to show, rather than tell, customers why they should have confidence in the path forward. People build trust. Digital tools can build confidence through what-if scenario planning, natural-language explanations, and the ability to have back-and-forth conversations whenever people want, without fear of asking “stupid” questions.
The unleveraged assets: contextual data and human intent

Banks service millions of accounts across life stages. Health insurers care for diverse populations across care journeys. These institutions are regulated to protect consumers, and in theory, succeed when their customers succeed. Yet traditionally, the relationship has been transactional: accounts, premiums, claims, and products.
AI changes that calculus. With careful design, institutions can translate the data they already hold into guidance that feels humane and useful. What might that look like?
- A bank dashboard that explains how spending patterns today impact long-term financial goals tomorrow in plain language, with actionable suggestions.
- A health insurance experience that models likely care pathways based on clinical evidence, population outcomes, and expected out-of-pocket costs, helping members choose care confidently.
- Alerts that not only flag risk—say, missed medication adherence—but also provide contextual support options, such as care coaches or financial assistance resources.
We don’t have to imagine far into the future to see what this looks like—we can actually see it in the not-too-distant past. When IDEO worked with PNC to develop their online banking platform, Virtual Wallet, one of the most compelling features for customers was a calendar that visualized “Danger Days”—days when their balances would be low, and they were most likely to overdraft. During a time when banks were making big profits by optimizing their technology to increase overdraft fees, PNC went in the opposite direction, helping customers avoid fees they despised and improve their financial lives. The result was an award-winning product that led to millions of new accounts.
This reframes data use from an internal optimization tool to a shared resource that benefits the member first. As banks bring generative and agentic AI to the masses, that could start to look like suggesting specific actions customers can take to reduce spending when cash flow is tight, or automatically splitting bills that fluctuate in cost, such as groceries and utilities.
Why incumbents have a strategic advantage

New fintech and health tech startups often don’t have to contend with years of technology debt and legacy systems, but they do suffer from a cold-start problem: They lack deep context. They may ask users to upload data, recreate history, or deduce preferences from limited interactions. Meanwhile, incumbent banks and insurers already have longitudinal data spanning life events, regulatory frameworks ensuring baseline protections, and direct experience managing risk at scale.
These are more than just advantages—they are assets waiting to be mobilized to build trust.
A new contract between people and financial institutions
Rebuilding trust in financial services and health insurance isn’t just a matter of better algorithms. It’s about redesigning relationships and using AI to make institutions advocates for individual success.
It’s easy to imagine continuing with the status quo: adding a chat interface to a mobile banking app that relies on existing functionality, for example, or offloading the most commonly-requested customer support tasks to an agent to reduce call center volume.
That’s not to say that there isn’t merit in some of those approaches. But, in a world where AI can feel impersonal and inscrutable, there is an opportunity for these institutions to shine by making AI personal. That’s not only good design. It’s good business, and it’s good for society. The question isn’t whether AI can help. It’s whether we will use AI to help people—boldly, compassionately, and with trust at the center.
Working to build trust with your customers? We’d love to help. Get in touch.
“People don’t mind institutions using their data if the outcome is genuinely helpful."


Make the invisible honest
And 6 other principles for designing AI hardware.
For decades, the typical relationship between humans and hardware was a straightforward one of command and control. We pushed buttons; machines performed tasks. But as AI migrates from our screens into our physical environments, the nature of that relationship is shifting: Computation is becoming a nondeterministic presence.
So far, the industry seems to be caught between what users actually want and the sci-fi fantasies currently captivating the tech community. Rather than marrying what’s technologically feasible with what people need, companies are bolting AI onto everything, shipping tech demos as finished products. The result is half-baked experiences traded for focus, and speed traded for agency and privacy. A better path means establishing a new standard in which trusted, useful intelligence serves the physical world.
For us, it means designing under these seven principles for good AI hardware, inspired by the timeless rigor of Dieter Rams, and setting the conditions to put them into practice.
1. Good AI hardware is mutualistic

AI is not a deterministic layer of software trapped in plastic. Designed well, it is a partner in human flourishing. We build hardware rooted in mutualism: the device learns from the perpetually shifting nuances of human intention, and the human grows through what the device makes possible. More than optimization, it is a shared evolution between person and machine.
What might that look like?
The Household Reflection Mirror
A bathroom mirror is designed without predetermined health goals. It comes equipped with sensors, models, and processing power, but without a built-in definition of what “better” means for you. That definition emerges through use.
In the first few weeks, the mirror observes your behaviors without interpreting them. Over time, patterns surface that you implicitly confirm or contradict through your actions. You linger on certain readouts. You ignore others. Slowly, the device constructs a model of what matters to you, not what a wellness framework says you should care about.
After three months, the mirror notices your sleep quality degrades during a particular recurring time of the week. On Monday morning it surfaces a single line beneath your reflection: “Sleep is typically shorter on Mondays.” The next Sunday, you go to bed an hour earlier. The mirror notices. Over time it learns what kind of attention you actually respond to, because you taught it through the way you live and react. The device you have at the end of the year is not the one you started with—and neither are you.
Without your input, it is a capable system with no inherent sense of purpose. Without it, you miss a form of self-knowledge you didn’t know you needed. Closing that gap together is the essence of mutualism.
2. Good AI hardware is off by default

Truly human-centered hardware requires intentional consent to engage. Privacy isn’t an afterthought; it is a foundational design requirement. Until there is consent and utility, we reject the always-on model of technology. We design to respect the privacy of our homes and lives, so that technology enters our cognitive space or observes our physical space only when we consent. Good AI hardware is something you want around, that makes you feel safe.
What might that look like?
The Consent Door
A front door knob has a small illuminated ring at its base. When you arrive home, the ring pulses once, dimly and unhurried. It is asking for your attention.
Twist the knob the way you normally would to unlock the door, and the ring goes dark. The house stays quiet. No sensors wake. No systems are activated. You are home, yet the home does not know it.
Twist the knob the opposite way before you enter, and the ring glows brightly. The AI features of the home come online. The thermostat starts learning. The mirror observes. The kitchen listens. You’ve made a conscious choice with your body before you crossed the threshold.
Guests see the same dim, illuminated ring when they arrive. They face the same choice. The house never assumes.
3. Good AI hardware is aesthetic

A piece of hardware should improve the aesthetic or emotional vibe of a space or interaction. With all the focus on the AI, it’s easy to lose sight of how intentional and sensorial the hardware has to be to provide value. We lean into creativity by using ergonomic forms, tactile textures, and haptics to create objects that feel like art or furniture while having capabilities suited to their use. The best AI hardware is crafted with intention for its role in our environments.
What might that look like?
Climate-Aware Window Glass
A sheet of AI-embedded glass replaces a traditional living room window. The glass learns sunlight patterns, outside temperatures, and occupants’ daily rhythms. When the afternoon sun becomes harsh, the glass subtly softens and diffuses the light, giving the room a warm, painterly glow. On cold winter mornings, it lets in full sunlight to warm the space. There are no visible controls and no notifications. The window functions as an intelligent material, shaping light and heat in ways that feel natural, healthy, and beautiful.
4. Good AI hardware makes the invisible honest

AI hardware should communicate its state, data usage, and limitations through intuitive physical cues. Sensors now extend far beyond cameras and microphones into biosignals, radar, emotion recognition, and neural intent. Technology can understand us in unprecedented ways, which creates unprecedented room for distrust. It’s crucial that we replace vague terms and conditions and labyrinth privacy settings with transparent, real-time feedback, and make the invisible visible. Honesty is the only foundation for a lasting relationship with intelligent technology.
What might that look like?
Visible Cognition Display
A small home security camera sits near the front door. Inside the door is a narrow strip that displays what the AI believes it sees in plain language. When someone approaches at night, it writes: “Face scan attempted. Low light. Result unreliable. Door stayed locked.”
The system reaches the edge of what it can confidently do and stops there, telling you exactly why—and that restraint is the point. A device that surfaces its own limitations in real time is making a fundamentally different promise than one that acts with false confidence and hides its reasoning. That promise, repeated across thousands of small moments, is how trust is genuinely built.
5. Good AI hardware is minimally intrusive

The ultimate goal is to improve our lives in the physical world, not to keep us tethered to a digital one. We need to design for the disappearing act by ruthlessly stripping away unnecessary screens and notifications, and removing friction between humans and their environments. We need to design to follow user intent, using the superpowers of AI to understand user needs and respond in simple, clear ways. Whenever possible, we embed AI into existing rhythms and daily flows, rather than requiring people to pick up new habits.
What might that look like?
The Context-Aware Notification Pebble
A small, smooth stone is connected to your devices. When something truly important comes in—a call from family, a hard-to-get dinner reservation, a flight deal on a trip you’ve been planning—the pebble gently glows. There are no sounds. No vibrations. No screens. Just light.
If you pick it up, the message is faintly projected onto the desk. For matters that require a decision, the system has already done the legwork. It held the reservation. It queued the flight deal. The pebble presents you with a choice, not a task. A single tap confirms your decision. The pebble stops glowing, and life continues as normal.
If you choose to ignore it, the pebble turns off on its own. The system respects your attention instead of competing for it.
6. Good AI hardware is honest about its capabilities

We design hardware that delivers on what technology can actually do, while meeting real user needs. Good design speculates and continues to evolve as technology improves, but it does not hinge on speculative promises it can’t meet (and which inevitably let users down). We focus on the high-fidelity reality of what a device can do now, making the hardware a reliable anchor as technology improves rather than a vessel of far-reaching hype.
What might that look like?
The Tutor Tablet for Children
A child asks the intelligent tablet a complicated science question. The device pauses and displays the message: “I am not certain about this answer… Would you like me to look it up with you?” When the model is unsure, it offers sources or invites the child to explore the topic together. Sometimes it even says: “I might be wrong. Let’s test it…”
In this way, the child learns two important lessons: the scientific method and the understanding that intelligence, whether human or artificial, involves humility.
7. Good AI hardware respects the Earth

We reject creating unnecessary devices that contribute to the global e-waste crisis by staying attuned to real user needs. When we build, we design for longevity through repairability, modularity, and circularity. From the selection of materials to the ease of recycling at the end of a product’s life, good AI hardware takes responsibility for its physical footprint. We build tools that are meant to last, not to be discarded when the next software update arrives.
What might that look like?
The Modular Home Intelligence Hub
A small wood and aluminum hub sits on a shelf, running local AI models for the home. Each component slides out like a drawer: Compute, Storage, Radio, Battery, and Sensor Array. While these modules are functionally co-dependent, each one is discrete. For instance, whenever new AI chips are released, the owner can simply replace only the Compute drawer.
The device also maintains a lifetime material dashboard:
Operational life: 8 years
Upgraded components: 2
Material saved vs. replaced: 4.3 kg
Energy used this month: 2.1 kWh
The hub processes most workloads locally to minimize unnecessary cloud energy consumption. Instead of being replaced every few years, it ages alongside the household.
Putting the principles into practice
It’s one thing to create a list of principles. It’s another to make them part of our work. To uncover real human needs, we do research with people in their homes, learning where they want machines to help and where they want to stay in control. Leveraging emerging tools like 3D printing, AI-accelerated prototyping, and generative design, we move from insight to artifact quickly. Rather than just rendering a sensor, we build it. Rather than speculating about how friction feels, we test a physical interface in someone’s home and let their reaction tell us what to do next. We hold creativity accountable to what’s technically viable and commercially scalable, so the visions we make are ones businesses can actually act on.
We are moving past the era of experimental AI and into the era of specialized, high-performance hardware that permeates our everyday lives. The only way to succeed in the market is to earn a permanent place in people’s lives through trust and utility. By anchoring what we build in these principles, we move beyond the hype and into producing hardware that people actually want around. That is the standard we are building toward.
(Looking for a partner to build AI products with? Get in touch.)
"A better path means establishing a new standard in which trusted, useful intelligence serves the physical world."
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The luxury brand reimagining the future of e-commerce
Callimacus's CEO on human AI and designing an AI-first web experience.
Founded in 2021, Callimacus is a small collective of mathematicians, engineers, artists, and philosophers exploring how new technologies can rewrite the web experience. Their guiding principle, “human artificial intelligence,” emphasizes designing systems that complement human values, highlight emotional nuance, and enhance human presence.
So far, so San-Francisco-based-start-up, you might say. But, in fact, Callimacus swaps the hills of the Bay for the slopes of Solomeo, a medieval village in Perugia, Italy. Instead of a tech billionaire, its patron is a titan of luxury fashion: Brunello Cucinelli.
As unexpected as that might sound, Cucinelli himself has been a passionate advocate of what he’s called the “humanistic enterprise,” born of his deep interest in philosophy. So while Callimacus might be pioneering a radical rethinking of e-commerce by challenging traditional established web and user experience norms, that’s firmly grounded in the brand’s human-centered DNA.
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Callimacus's first product is an AI-native software development kit aptly called Callimacus, which powers Brunello Cucinelli’s new digital experience. Named after the ancient Greek poet and curator of the Great Library of Alexandria, Callimacus uses custom AI agents to dynamically generate the user experience based on user intent. For instance, the site’s agents can determine that a visitor is looking to learn about the story behind the brand (and serve them content, accordingly) or that they’re here to see the latest collection. It’s a custom experience very different from a traditional page-and-container website structure.
I spoke with Francesco Bottigliero, Brunello Cucinelli’s Chief of Humanistic Technology and the CEO of Callimacus, to understand why the brand created the start-up, the importance of keeping humans at the heart of innovation, and reimagining UX and engineering for the AI era.
Ed White (EW): What was the inspiration behind Callimacus?
Francesco Bottigliero (FB): The French philosopher Voltaire once said, “Doubt is not an agreeable condition, but certainty is an absurd one.” This led us to think, “Our friends from Silicon Valley believe AI will be a game-changer, so let’s take the time to understand it.”
At Brunello Cucinelli, we’re focused on learning and staying current in our industry, rather than simply following trends. We choose technologies that align with our values, ensuring we don’t compromise the craftsmanship and brand positioning we’ve built over more than 40 years. In our boutiques, we aim to make technology invisible so there’s no barrier between sales associates and customers.
We’re investing heavily in our brick-and-mortar distribution to stand out and nurture our brand identity, while also enhancing and developing our online identity.

EW: Callimacus emphasizes “human artificial intelligence.” Can you explain what you mean by that?
FB: We view technology as a companion of humanity. We want human beings at the helm, steering the boat. However, if there are tools that can help people steering the boat make better decisions, we are ready to embrace them.
EW: You recently launched an AI-driven web experience for Brunello Cucinelli using the Callimacus software development kit, which enables brands to create AI-native web experiences. Where did the idea for that come from?
FB: When we looked at traditional e-commerce, we analyzed the navigation of six sites from six brands. We masked the brand names and placed the sites side by side. They all looked the same.
We decided to experiment with new ways to communicate our story more effectively. Today, when people talk about applying AI to e-commerce websites, they typically mean adding a chatbot. However, the underlying infrastructure remains the same, relying on page formats—whether product, listing, or article pages.
EW: Why are traditional web pages such a problem?
FB: Websites continue to be designed and developed using a typographic approach that has been in use for more than 30 years, dating back to the beginnings of the internet at CERN in Geneva. Users shared research papers online, and they were read as if they were physical books. The interaction mimicked print media by incorporating pages and menus people were already familiar with. Likewise, when I visit Corriere della Sera, Italy’s leading online newspaper, all its content is locked within a traditional page-and-container structure, making it difficult for me to search for something using natural language. The same issues apply to e-commerce sites.

Callimacus offers a completely different approach to website design. It functions like an orchestra, integrating multiple agents running on different large language models.
Callimacus is based on three fundamental ideas: First, we eliminated content containers, allowing content to flow and be recombined. We call it “page-less design.” Second, instead of starting with user interfaces or framework templates filled with placeholder text, we began by spotting signals of the customer’s intent and the experience and journey we wanted to offer. Third, enabled by the first two ideas, we created a personalization engine that delivers a tailored experience for each user.
EW: How does that work?
FB: One of our agents, Thamyr, named after the ancient Greek painter, continuously analyzes the user’s intent—for example, getting inspired or product search—and updates the website in real time. Each interaction the user has with the website refines this intent. Thamyr might say, “It seems like this user is more interested in product search or is seeking inspiration.” She then goes to our agent, Socrates, and says, “Hey, please provide me with products the customer might be interested in.” However, it turns out the user is not really into the product but rather wants to explore the brand. So Thamyr decides to feature fewer products, but more editorial content. She then references the design system, selects the appropriate components, and builds the interface accordingly.
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EW: How does all this “intelligence” impact the back end?
FB: One of the advantages of the platform is that editing websites can become a conversational experience. For example, you can say to Callimacus, “Hey, we just received the new capsule tennis collection.” Callimacus replies, “Okay, do you have pictures?” You say, “Yes, they’re here in this Dropbox folder.” Callimacus then asks, “Okay, do you have the prices?” “Yes,” you reply, “this is the spreadsheet with prices.” Once the files are uploaded, Callimacus says, “I’m ready to publish.” Then you confirm, tell it to publish, and it’s done. Since Callimacus generates the interface, it decides which content is displayed to the user.
You can also interact with Callimacus by asking it how the collection campaign is performing in Japan, for example. Callimacus might reply, “It seems we are performing worse than last week.” In which case, you could ask it for suggestions on how to improve. It might respond, “Perhaps we could increase the frequency of displaying these collection banners in specific customer journeys?” If you agree, you simply tell it to execute that plan.
EW: What’s been the response to the new Brunello Cucinelli experience?
FB: The initial reactions are very positive, and the metrics reflect this. We’re seeing increases in engagement rate, time spent on the website, and items added to the cart.

EW: Given your successes so far, what are you hoping to see next?
FB: In five years, I envision an experience that feels more like shopping in a physical boutique. I want to be able to interact with the system using voice commands and have it understand what I’m looking for, rather than forcing me to search endlessly for the right item. It should respect my privacy, personalizing the experience without relying on third-party data. The process should be quick and intelligent, recognizing that I’m either on my phone and in a hurry, needing to buy a last-minute birthday gift for my wife, or that I’m relaxing in an airport lounge and would like to learn more about the new collection, or about the hamlet of Solomeo, or do a deep dive into craftsmanship.
We finally have the chance to go beyond decision trees and pre-defined rule-based logic, to make digital applications more intelligent and genuinely respectful of people. It’s a great chance to rethink, from the foundation up, how digital technology works and the business models we have adopted to run it.
“Design in the Age of AI” is a series of conversations with designers and makers from across industries and disciplines, building the future with AI, today.
“We want human beings at the helm, steering the boat. However, if there are tools that can help people steering the boat make better decisions, we are ready to embrace them."
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5 principles for easing the burden on caregivers
From designers who know the role too well.
Becoming a caregiver can happen overnight. A change in condition, an unexpected accident, a life-changing diagnosis. For many of us, it’s a job with no prep time: Someone who was once just a partner, child, sibling, son, daughter, or friend is suddenly a caregiver. It’s already happened to 63 million informal caregivers in the US. It’s also happened to both of us.
Caregiving is incredibly complex. We know what it’s like to constantly navigate tools that fail to meet our needs, as well as the systemic issues in our healthcare system that overlook and undervalue us, while expecting us to live up to an identity we stepped into by circumstance. Our needs shift based on the conditions of those we care for, the quality of the systems we engage with, and the gaps in experience and confidence that we continue to discover.
As designers, we’ve partnered with companies to better serve the needs of this growing population. And out in the world, we’re seeing the emergence of many new services, from AI companions with emotional intelligence (like ElliQ) to robots that assist with manual tasks (like E-BAR). As the number of caregivers continues to increase, it’s essential that we get these products, services, and experiences right. Here are five principles for designing solutions that truly meet caregivers’ needs.
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1. Design for people who did not choose this role—and were not trained for it
During our research for a recent project, a caregiver told us, “Like most people, I didn’t even think about caregiving until my father was diagnosed with cancer.” Informal caregivers are unpaid and without professional training. They have to learn as they go, performing medical tasks, navigating complex systems, and advocating for their loved ones, all without the preparation or recognition that this role deserves.
We need to prioritize designing tools and systems that make stepping into caregiving feel less like being thrown into the deep end, and more like having a calm guide by your side. (Particularly when 40 percent of caregivers provide high-intensity care, like administering injections and managing equipment, yet only 22 percent receive any kind of training.) That includes speaking in plain language and avoiding medical jargon, designing inclusive digital tools for people who may not be tech-savvy, and using simple visuals to summarize health data and make it actionable. Ultimately, it’s about designing for reassurance, not just task completion.
What might that look like? Something like Abbott's FreeStyle Libre continuous glucose monitors. They quickly condense a constant stream of data into just a few colors that are easy to understand at a glance: green indicates that glucose levels are within the normal range, while orange or red signals that levels are dangerously low or high.
Another good example of designing for reassurance is The Sandwich Club, a community support network for parents and caregivers where anyone can find answers to caregiving questions, big or small. Designed by The Holding Co. to be as accessible as possible, it costs only $1 a month (free for regular contributors). The club fosters an active community of peers who share their knowledge, and it includes a helpful AI that provides immediate responses and highlights insights from the community. It’s an incredible resource for questions like, “Am I doing enough for my aging parent?” to “How can I encourage a disabled person to exercise regularly?”
2. Healthcare tools need to be accessible to patients—and everyone involved in their care
Healthcare systems are designed to be patient-centered. That’s a good thing, but it can have unintended consequences. When caregivers need to talk with a provider or insurer on behalf of the patient, those systems often don’t recognize the caregiver and may even restrict their access. Many caregivers have spent countless hours on the phone with a call center simply to reset a patient’s password, only to use the patient’s login instead of their own to manage care. Caregivers should be authorized partners in care by default—not mere visitors who must repeatedly prove their legitimacy. Imagine how much more seamless the experience could be if every patient portal had a “care circle” view—where designated caregivers could see what patients need, message providers, manage tasks, and coordinate—without navigating permission mazes.
These tools could draw inspiration from location sharing. When we can’t find a friend in a crowded place, we flip on our live location feature in a messaging app, Google Maps, or a service like Life360. While it shares highly precise GPS data, you can control how long you share that data—just an hour, or forever—and with whom. The New York Times also offers a simple model for shared accounts: each user receives a personalized experience, while collaboration is encouraged.
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3. Assume caregiving is a secondary role with primary consequences
Sixty-one percent of family caregivers also work, according to AARP and the National Alliance for Caregiving. This means caregivers often have to make important decisions while managing complex schedules, fitting care in between meetings, late at night, or early in the morning.
Designers need to create tools for users with other roles, limited time and attention, and irregular usage patterns. Caregiving tools should allow users to pause, resume, and re-enter tasks without penalty. We need to facilitate decision-making in short time frames from anywhere—on a lunch break, in a parking lot, or at the grocery store.
We can draw inspiration from TurboTax’s save-and-return feature, which allows users to pause their tax prep and pick up where they left off. This feature respects people’s busy lives, lets them move at their own pace, and reduces anxiety about making mistakes or losing their progress while tackling complex tasks.
4. The true cost of care transcends medical bills
Being a caregiver can be expensive. In addition to the physical and emotional toll, caregivers spend an average of more than $7,000 per year on out-of-pocket expenses, according to the Caregiver Action Network and AARP. These costs can include home modifications, medications, and transportation. Then there are the opportunity costs for careers, and income potential: nearly a third of workers, including senior executives, report their careers have been adversely affected by their caregiving responsibilities, according to a Harvard Business School study.
Instead of assuming cost is incidental to care, health systems need to treat it as a primary factor in the patient experience. Caregivers need tools that clearly explain potential costs—from medical expenses to time tradeoffs—as well as help navigate them more easily.
Rocket Money’s Subscription Finder is a strikingly simple tool that makes the invisible visible. Once you link your accounts, it surfaces auto-renewing expenses that you might have forgotten about, from subscriptions to streaming services, and then helps you cancel them (sometimes a multi-step rigamarole). No more missing yet another auto-renewal deadline.
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5. Caregivers are emotionally exhausted long before they are visibly overwhelmed
More than 60 percent of caregivers report symptoms of burnout, yet much of that strain remains hidden. Support should not only reduce friction but also create moments of reassurance and self-efficacy. Improving the experience of being a caregiver is a necessary part of sustaining care over time.
We need to build systems that not only track patients’ health, but also caregiver strain. Shared portals between patients and caregivers could offer tools for mental health care—meditation, counseling options, and help managing big sources of stress, like paying bills or understanding medical care. They could also include message boards where patients and caregivers could ask questions and share their experiences.
We’re inspired by Soluna, a digital mental health platform for California youth, co-designed by IDEO and Kooth with 150 young people. Soluna integrates supportive conversations, self-reflection tools, and community connections to support users in moments when they feel vulnerable, uncertain, or overwhelmed. This approach serves as a model for caregiving tools, emphasizing the importance of treating emotional labor as essential infrastructure.
We know from personal experience how important interventions that reduce caregiver burdens are. We also know from our work in the health sector that this need will only continue to grow. By 2030, 73 million Americans will be over 65, and 70 percent of them will require care. Meanwhile, there is already a shortage of paid caregivers. More and more of us will need support to fulfill this role. And more and more of us will need designers to get it right.
Looking back, early in our journeys, we didn’t think of ourselves as caregivers. Then things shifted. Our family members needed more support, and somewhere along the way, we realized we needed more, too. Now, with hindsight and the lens of human-centered design, we have a better sense of how health systems and care services need to improve, especially for informal caregivers. If we can do this, we believe we can improve care for everyone. Because more likely than not, we’ll all serve as caregivers one day.
Looking to redesign your own products and services to benefit caregivers? Get in touch.
Healthcare systems are designed to be patient-centered. That’s a good thing, but it can have unintended consequences.


Lindsey Turner
I’m passionate about building brands, products, and experiences that help organizations show up with meaning and momentum.
I help organizations cut through complexity by shaping how they show up, through brand strategy, identity, and storytelling.
Working at the intersection of brand and business, I bring an editorial eye and a bias toward making—turning ideas into tangible experiences that people can understand, trust, and believe in.
My work spans government, healthcare, financial services, media, and consumer goods, from launching Gen Z-focused ventures to building innovation labs and reimagining legacy brands. I relish moments of ambiguity and enjoy translating across teams, perspectives, and priorities to move ideas forward.
I started my career in editorial and digital design, shaping cross-platform experiences and identity systems in publishing and agency environments. That foundation still shapes how I work today: I’m detail-oriented, collaborative, and overreliant on the Oxford comma. I hold a BFA in Visual Communication from the School of the Art Institute of Chicago.


Rachel Young
My work helps organizations see who their products aren't working for—and build the will and the tools to do something about it
For 25 years, I've asked the same question: Who does this design exclude—and what are we going to do about it?
My work spans human-centered strategy, inclusive design, and qualitative research, with clients ranging from Microsoft, Google, and Verizon to the National Science Foundation, and San Francisco Unified School District.
Before IDEO, I taught elementary school in East Palo Alto and spent a decade doing design work with social service organizations—where I learned firsthand what it costs people when systems are built without them in mind.
I am currently writing User Error, a nonfiction book about digital access and the design decisions behind it. I live in Oakland, California.


Brian Pelsoh
I lead with craft, ensuring our work is creatively excellent: rooted in deep human insight and imagination, while also grounded in the realities of business and technology.
My expertise spans brand, communication, and product design across tech, education, the arts, and social impact.
I believe great work demands both high-level vision and obsessive attention to detail, and only happens through collaboration.
I bring an inclusive, hands-on approach and a deep understanding of business, which enables me to consistently deliver excellence while always asking why.
Before joining IDEO, I worked at the brand firms Pentagram and VSA Partners. I began my career as a designer, leading teams at the School of the Art Institute of Chicago and the Milwaukee Art Museum. I hold an MFA in graphic design from Maryland Institute College of Art and a BFA in communication design from the Milwaukee Institute of Art & Design, and have taught at some of the best design schools in the US.


Tony Wong
I am responsible for IDEO’s long-term success in China and working with clients to use design as a tool to enable growth.
I am responsible for IDEO’s long-term success in China and working with clients to use design as a tool to enable growth. Specifically, I have helped Chinese companies design holistic brand solutions through the development of their products, communication, services, and innovation teams, and I have helped multinationals expand their presence and influence in China.
I advise global leaders on developing China-led innovation and capabilities.
In over 15 years in IDEO Shanghai, I have worked on projects that use design to elevate the quality of the experience of healthcare products and services, streamline processes that increase productivity, create spaces and programs that promote and enable inclusive communities, and build next generation mobility solutions that are planet-positive.
Before joining IDEO, I worked at Philips Electronics and the Electrolux Group in Italy, the Netherlands, and Singapore on a number of breakthrough commercial products. I am a member of the Young President Organization in Shanghai.
How to use AI as an editor, not a writer
Ed White shares how he uses AI as an editor—not a writer—to sharpen storytelling, rehearse ideas, and preserve the productive friction that makes creative work better.
Ed White has a rule he's tested on his own writing: hold yourself as the writer, and let AI be your editor. Ed is a Senior Design Director at IDEO's London studio, where he co-leads the firm's AI portfolio across Europe. Before IDEO, he spent 12 years as a writer and editor at the Financial Times, Wired, and Contagious. So when he talks about when to use AI for storytelling and when not to, it comes from two decades of crafting his storytelling skills.
In this episode, Mina Seetharaman talks with Ed about two specific tools he uses to keep AI in an editor's seat: a "roasting agent" prompted to critique his drafts without any sugarcoating, and a simulated audience he rehearses pitches on before the real thing. They also get into what Ed is hearing from design leaders at Anthropic, Lovable, Shopify, and Google Creative Lab about how creative work is changing, and why he thinks the friction of writing something yourself is worth protecting rather than automating away.
Building a personal AI for the messiness of life: Sida Li
Becca Carroll talks with Cue co-founder Sida Li about designing a personal AI for the messiness of everyday life—not just work. They explore how Sida stays anchored to human needs while navigating fast-changing technology, product tradeoffs, business-model experimentation, and the realities of building an AI company today.
Most AI products today are built for work—a space with clear problems and established systems. One founder noticed a gap: personal life is messier, harder to systematize, and mostly left behind by the AI boom. So she built Cue, a personal AI that lives inside iMessage and group chats, to go where the other tools haven't.
In this episode, Becca Carroll, IDEO's Chief Strategy Officer, talks with Sida Li, co-founder and CEO of Shared Context Lab, about staying anchored to a human need while the technology around her keeps changing shape, why she treats her business model with the same rigor she'd bring to a product, and what it feels like to build a company at this particular, disorienting moment in AI.
The conversation also gets into how Sida makes design decisions: the language Cue uses to describe itself, the tradeoffs behind building inside iMessage instead of a new app, and a real story about a business idea that didn’t pan out.
This is the second in a two-part series profiling founders from IDEO's Startups-in-Residence program. The first conversation is with Johannes Seemann, founder of Sooner, on designing GenAI for the emotional side of money.
Designing GenAI for the emotional side of money: Johannes Seemann
Designing financial tools around the feelings that shape money decisions.
Most personal financial tools are built to run the numbers and optimize towards a budget. While that works for some, most people experience money as a lived relationship that does not neatly fit into a spreadsheet. Johannes Seemann and Becca Carroll discuss why money is emotional before it is mathematical, and what a human-centered approach to building a generative AI financial product looks like in practice.
The curious leader's edge in uncertainty: Scott Shigeoka
How genuine curiosity helps leaders navigate uncertainty with greater confidence.
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.
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