Reset filters
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Latest work

Designing for peace of mind with a leader in home security

Rethinking the hardware, experience, and interaction of connected products designed to protect you.

Read more
Case study
Case Studies
Strategic Futures
Breakthrough Products
Consumer Products & Retail
Technology
AI & Emerging Tech

Only 20 percent of American homes are protected by security systems, and most of these systems are installed after a break-in.

Home security veteran SimpliSafe hoped to convince the other 80 percent of home-dwellers to invest in preventative technology so the break-in never happens. The company approached IDEO to refresh and simplify the look and feel of its connected products to reach this wider audience and help them feel safe.

IDEO refined the design of 15 SimpliSafe components, including sensors, cameras, and a wall-mounted keypad.

Interviews with potential customers revealed insights that informed the new design. Families told the researchers that existing security systems are expensive, bulky, and hard to install and use. Instead, systems should be unobtrusive, but responsive to your needs. They should react appropriately in emergencies, while also protecting your privacy.

Responding to those requests, IDEO overhauled the design and interaction of more than a dozen SimpliSafe products, including a wireless, touch-to-wake keypad; easy to install sensors; and a smart home base that acts as the brains of the system. Additionally, IDEO designed SimpliSafe's first step outside of the home—a video doorbell that can be used in tandem with the namesake home security system or on its own. Making the system enjoyable and intuitive to use means families are more likely to use it consistently—and correctly.

The video doorbell was intentionally designed so that the person approaching the door focuses on the button and not the camera—as the user gets closer to the doorbell, the light around the button subtly illuminates, prompting the user to "press here."

The team developed a consistent design language across SimpliSafe’s physical products, user interface, and digital presence. That clear visual language lets you know what each component does right out of the box; for example, the glass break sensor looks like a human eardrum that might actually hear a window shattering. The design also reduced the size of entry sensors by four times, while improving their range and battery life. Tapered backs and swept-front surfaces for all of these sensors help them blend into your home. The new system’s clean, understated appearance instills confidence without stoking fear of what could happen.

SimpliSafe’s keypad and base station guide you through setting up the system with voice feedback, while gentle LED lights and sound cues let you know at a glance that the system is armed correctly and you’re in safe hands. The system is also equipped with multiple layers of backup, so you don’t have to worry if the power or Internet goes down.

And the system responds intelligently, tailoring the way it reacts to match different scenarios. For instance, it sends a gentle reminder if a window is left open but a police response if a window is broken in. The design team also incorporated a first-of-its-kind privacy shutter on the system’s security camera so families can opt out of being recorded at home.

SimpliSafe's home base acts as the brains of the connected security system. It offers gentle light and sound cues to remind you you're protected.

SimpliSafe launched its redesigned security system in early 2018, replacing the company’s two previous generations of products at the same price point. Already, the revamped system has cut the number of support calls from new customers.

In June 2018, venture fund and private equity firm Hellman & Friedman acquired SimpliSafe in a deal that valued the company at about $1 billion.

Hardware prototype
SimpliSafe
SimpliSafe
Designing for peace of mind with a leader in home security, veteran housing, accessible housing, SimpliSafe, consumer products, retail, consumer experience, retail innovation, technology innovation, digital products, AI, artificial intelligence, emerging technology, product design, industrial design, new product development, creative leadership, leadership development, innovation strategy, business innovation, design innovation, innovation, strategy, prototyping, product development, leadership, creativity, how do we innovate

Rethinking college admissions

Designing a more efficient and inclusive way to read applications.

Read more
Case study
Case Studies
Creative Capabilities
Breakthrough Products
Learning & Work

With a record number of applicants, stiff competition for top students, and a desire to make classes more diverse, college admissions teams are feeling the strain. Bowdoin College in Maine, one of the top liberal arts schools in the U.S., received more applications for the class of 2022 than for any other in its 224-year history.

Whitney Soule, Bowdoin’s Dean of Admissions and Student Aid, saw her staff at risk of burning out. On the advice of Bowdoin’s president, Clayton Rose, she invited IDEO to embed at the college and help design a new way of working. The IDEO team studied Bowdoin’s workflow and zeroed in on the application process as an area ripe for redesign.

By observing how Bowdoin counselors read applications, IDEO learned what drove their decisions. Mindful of how their choices could impact young people’s lives, counselors prioritized a meticulous reading of each application. But this thorough approach meant they often engaged in redundant work or delayed making final decisions.

The IDEO team created a custom publication to showcase the admissions staff and their core values.

IDEO designers translated their insights into a book for staff, featuring watercolor portraits of the admissions team and a clear articulation of their values—from integrity to inclusion. The book was IDEO’s promise that introducing a new reading process wouldn’t mean sacrificing Bowdoin’s personal touch.

Then, the designers and counselors ran A/B tests using real applications from past years, unwinding long-held beliefs about how they “should” be read. Soule and her team experimented by adjusting timelines and other factors that determine when and how applications move from a first read to a second read to a committee discussion.

Soule gave her team explicit permission to toss their typical playbook. Seeing their own process with fresh eyes, counselors realized they could be more confident in their expertise and tweak their workflow to meet changing demands.

Soule and her team holed up with IDEO in a work room on the Bowdoin campus to run A/B tests using real applications.

A/B testing proved that some variables had little effect on the team’s final admissions decisions. With that in mind, IDEO redesigned the reading process and included a system called “magic sort,” which helps parse groups of applications based on a new set of counselor assessments in order to route each to its next round of reviews more efficiently.

The IDEO-Bowdoin team put the revised technique to work right away, processing 300 new applications from the annual QuestBridge program for low-income students. Counselors found they were able to make equally valid decisions while cutting the amount of overlapping work they faced by 40 percent, compared to years past.

Working with IDEO challenged us to change the way we work together—and we learned a new method of problem solving that we continue to use. We are better equipped to elicit creativity, then channel it into the practical implementation of new solutions. It’s been transformative!

WHITNEY SOULE, DEAN OF ADMISSIONS AND STUDENT AID, BOWDOIN COLLEGE

The new reading method let staff cope with a growing volume of applications, while balancing the need to evaluate individual students with the need to think holistically about the makeup of Bowdoin’s student body. Counselors adapted the technique to the rest of the year’s admissions cycle, including early-decision, regular decision, and transfer applications.

To extend what her team learned to other departments, Soule has led several design thinking workshops across campus. Her success as a leader has mirrored the growth of her team and the college; by empowering staff with new tools and the freedom to experiment, Soule and Bowdoin are leading by example in the evolving world of higher education.

Designing a more efficient and inclusive way to read applications.
Designing a more efficient and inclusive way to read applications.
Bowdoin College
Bowdoin College
Rethinking college admissions, college admissions, application review, Bowdoin College, education innovation, learning experience, future of work, inclusive design, accessible design, equitable design, student experience, future of education, innovation strategy, business innovation, design innovation, innovation, strategy, design thinking, creativity, education, learning, how do we innovate

Reinventing the chandelier

Designing an elegant, modern lighting experience for an iconic brand.

Read more
Case study
Case Studies
Strategic Futures
Consumer Products & Retail
Industrial & Manufacturing

For half a century, Swarovski has crafted iconic chandeliers dripping with the brand’s signature crystals. With the rise of new interface technology, the company came to IDEO for help to design the chandelier of the future.

IDEO designers set out to create beautiful, emotional experiences by layering technology onto Swarovski’s lighting offerings. Whether it’s setting the tone for a sophisticated retail experience, creating subtle ambiance at a romantic dinner for two, or providing true quality light to read a book, the team considered how a chandelier can enrich personal moments throughout the day.

Swarovski and IDEO assembled a multidisciplinary group, including industrial and UX designers, brand experts, and engineers to quickly vet, build, test, and refine their ideas.

Designers from IDEO and Swarovski worked together to completely reimagine the crystal chandelier.

Together, the team designed a new tech-infused chandelier and family of other light fixtures. At first glance, the chandelier resembles a simple, sleek metal disc. But when you turn it on and peer inside, an endless number of crystals swirl far into the distance—an Infinite Aura.

The Infinite Aura collection also includes pendant and wall lights. The team developed a mobile app that proactively modifies light settings based on the time of day, and also lets users customize their experience—including adjusting brightness and color to set a personal mood, or “Aura.”

Peer inside the chandelier to see crystals extending into infinity, and customize your lighting experience using the Swarovski mobile app.

Unlike most fixtures, Infinite Aura doesn’t just give off ambient light; families can also benefit from high-quality functional light, directed downward to help them focus on a task or diffused upward and downward to create a subtle ambiance. In a similar way, the chandelier can expertly illuminate a library, hotel lobby, or concert hall.

The new lighting line adds greater functionality and emotional resonance to today’s smart buildings, while retaining Swarovski’s timeless elegance. Infinite Aura debuted in Frankfurt, Germany in March and will be available internationally in fall 2018.

Families can benefit from both ambient and functional light to brighten any occasion
Swarovski
Swarovski
Reinventing the chandelier, lighting design, lighting experience, hotel design, hotel experience, Swarovski, consumer products, retail, consumer experience, retail innovation, manufacturing innovation, industrial design, brand strategy, brand design, brand identity, brand experience, how to innovate, how to build a brand, innovation, strategy

A new employment venture to increase customer engagement and financial security

Introducing Moonrise, a digital platform that helps companies hire untapped talent and workers make ends meet.

Read more
Case study
Case Studies
Strategic Futures
Breakthrough Products
Financial Services
Technology

More than half of Americans don’t have the cash to cover a $400 emergency expense like a car repair or trip to the hospital. Taking that reality to heart, American Family Insurance, a Fortune 500 company that offers auto, home, business, and life insurance, was seeking a way to make an impact by helping people earn and protect—not just insure—the things they value.

American Family approached IDEO with an ambitious goal: to innovate in a way that would help working families—many of them existing American Family customers—who need a financial cushion in case of the unexpected. This new mission fell in line with American Family’s overall orientation toward increased social responsibility, including committing to a liveable wage for all employees, helping with student loans, and providing college scholarships and tuition reimbursement for employees’ children.

In early discussions, American Family thought people might need budgeting tools, but from the very first research interview, a different urgent need emerged: people needed a way to shore up their savings enough to protect against unforeseen needs. This same story came from numerous places. In Tennessee, the IDEO design team sat in the kitchen of a working single mom of four, who explained how her lifestyle was built around her extremely constrained budget. She couldn’t afford childcare, so she’d organized her home to allow her 11-year-old to watch the younger kids: partitioned snacks, timers on the TV, chore charts on the fridge. She managed her budget meticulously, it was clear, and she didn’t need new financial tools. What she really needed, she said, was extra income cushions so a surprise expense like a doctor’s visit or stretch investment like a kid’s basketball uniform wouldn't derail her plans. Like many of the people the team visited across the country, she didn't want to take on debt; she wanted extra work and the dignity and peace of mind that comes with it.

During a live prototype of the Moonrise platform, a Moonriser in Wisconsin works a shift with a partnering employer.

Could we, the team wondered, offer people who already have jobs the extra hours and income they need in a way that reduces, rather than exacerbates, the stress they already face? Would employers get on board?

The short answer was yes. Today’s businesses depend on on-demand work, including seasonal warehouse and retail shifts. Typically, companies look to temp agencies whose model is built on staffing with the goal of permanent placement. Moonrise enables companies to tap into a workforce that's already employed, allowing them the benefits of passive recruiting (reliability, consistency), but for short term work.

Knowing innovation was the path to growth, American Family took a chance by embracing a radically new brief: Create a service to help families living on the edge bridge the gap between the size of their paychecks and the size of their dreams. The result was a new business venture called Moonrise.

When customers told us that having an easy way to earn extra money could improve their lives, we were compelled to pursue a solution. Moonrise is a business with a human-centered mission. We’re proud it’s part of our American Family.

Jack Salzwedel, Chairman & CEO, American Family Insurance

The Moonrise platform lets workers sign up for shifts with partner organizations through a simple text message interface, and get paid as soon as their shifts are done. Employers who sign up to partner with Moonrise can list open shifts on the platform.

“Moonrisers” are W-2 employees of Moonrise, not contractors, so they don’t have to pay self-employment taxes. They also get personalized business and comment cards to take to job sites, making their interactions with employers feel more professional. In this way, Moonrise helps workers not only build a buffer against unexpected bills, but also explore new positions and fields—and perhaps even land new full-time work with Moonrise partners.

After working a shift, the Moonriser gets paid right away with money sent to a debit card. Moonrise can also help workers track progress toward their financial goals.

To test the program in real time, IDEO and American Family assembled 11 Moonrisers, six employers, and a team of designers and programmers to work out kinks in the platform. During a one-week live pilot in Wisconsin, Moonrisers finished a combined 28 work shifts, earning an average of $121 each, while IDEO designers worked behind the scenes to keep the process running smoothly.

Based on the success of the pilot, American Family created a new startup company called Moonrise, which became a wholly owned subsidiary of American Family. Moonrise launched to the public in the Chicago area in 2018, with plans for an eventual nationwide rollout. Moonrise signed Enterprise Rent-A-Car as its first employer and actively matches workers in Chicago with shifts, while continuing to build more corporate partnerships.

Since launching in 2018, over 7,000 people have applied to become Moonrisers, more than 7,000 shifts have been fulfilled, and over $500,000 has been put into the pockets of hardworking Moonrisers. Additionally, Moonrise will be expanding into 3 additional states in 2019.

IDEO and American Family Insurance interviewed customers of The General—a division of American Family—about how they budget to make ends meet. In this conversation, customer Chandra told designers how $62 could be the difference between breaking down and breaking even for her family.

It’s not always easy for established companies to innovate, especially outside their core business. But innovation is a high priority for American Family. Creating an employee -centered startup like Moonrise solves an urgent problem and distinguishes them from their competition. Together, American Family and IDEO identified a pressing human need and built a program from the ground up to meet it.

American Family Insurance
American Family Insurance
A new employment venture to increase customer engagement and financial security, American Family Insurance, financial services, fintech, financial innovation, technology innovation, digital products, digital transformation, digital experience, digital product design, UX design, venture design, new business creation, business model innovation, behavior change, behavioral design, customer engagement, financial services innovation, banking experience, financial inclusion, understanding user needs, how to launch a new business, how to design a digital product, innovation, product design, research, prototyping, startup, transformation, retail

How to motivate a team to pull off the impossible

These life-size origami installations are built by creative leaders at IDEO

Read more
Article
Articles

As soon as the rain stopped, we got on our bikes to survey the damage. We saw the flowers on the horizon: droopy and sad-looking. Then, suddenly, they started illuminating, one after the other—opening up, blooming. To this day, we still don’t know how they came to life. But the sight was exactly what we had envisioned. Better even.

Blumen Lumen, FoldHaus Collective's first project.

That was 2014: the official start of FoldHaus Art Collective. Since then, our art installations have become bigger and more audacious. Shrumen Lumen, five massive, origami mushrooms, followed in 2016 (they’re now on exhibit at the Smithsonian American Art Museum), and we most recently built a five-story tall, geodesic sphere covered with 42 origami shells called RadiaLumia.

Each project takes months to design, prototype, and build. Which means I often get asked: Why do you spend your nights and weekends doing this when you have a fulfilling day job as a creative leader?

For me, it means that I get to work with a bunch of other creative types who pitch in to build something beautiful that’s bigger than what any one of us could do on our own. I get to work with my hands in a way that’s rare in my day job, and every project stretches my own sense of what’s possible.

And because FoldHaus projects are always a group effort, we need to broaden the question: Why do any of us—between five and 30 volunteers contribute to our projects on any given weekend—give up sleeping in to solder? Or skip the beach to code LED patterns? As one of the leaders of the group, I have learned a few things about what it takes to build a strong community and take a bold vision from a Post-it to the Playa.

Here are the 5 principles that have helped this team pull off increasingly ambitious projects:

RadiaLumia's final form, debuted at Burning Man 2018.

1. Set an audacious—and contagious—vision

Drawing in a team requires not only that you love your idea, but that others do, too. After all, if you’re asking them to volunteer their time, they’ve got to be pulled in week after week, when they could easily be at the taco truck.

Blumen Lumen was a hit because everybody loves flowers. With the Shrumen Lumen, it took some convincing—many worried about associations with 'shrooms at Burning Man. This year, I made sure to test out the RadiaLumia concept with a few key members of the team, so I knew I had broad support. The buy-in worked, and has yielded our biggest team of volunteers by far.

The bottom line: Pressure-test your idea early—before you get too attached to it—so others will want to join up and help you realize the vision.

2. Stand on your own shoulders

Leading people to a grand vision is impressive only if you can actually pull it off. Ladder up from where you (and your team) actually are to where you want to go. And, acknowledge that it may not all happen at once.

Even before our Blumen Lumen, we built three shade structures for Burning Man. One was a disaster, but we learned from it. Now, we ensure that we are leveraging all we mastered the previous year to create the next installation. People are drawn to us because of our bold vision, but they stay with us because they know we have what it takes to make it happen.

The bottom line: Learn from previous outings that you can get over the mountain, so you can ask people to stretch and meet a new challenge.

Folding the origami pieces looks easier than it is.

3. Make it accessible

Part of the fun of leading a creative team is building camaraderie and community. But that can be constrained if a project requires too much specialized knowledge. Ensuring that part of the project is achievable by those without technical or unique skills is key to drawing a crowd when you need it.

On all of our projects, a big part of the effort is folding the plastic origami pieces. That requires pure manual labor, and anyone can be trained to do it, so we hosted all-hands-on-deck build parties every weekend leading up to Burning Man.

The bottom line: If you want to draw a crowd, create easy ways for people to participate without specialized expertise.

Making RadiaLumia a reality required many steps, including the configuration of 42 individual LED controllers.

4. Leave room for individual passions

When people are motivated to do something, get out of their way and let them go for it. Given the freedom, teammates will create something together that’s more amazing than what a single creative leader could pull off. Set the vision, then let people self-select into groups to get it done.

With RadiaLumia, no one person knows everything that’s going on at every given moment, which is kind of scary but also amazing, because it’s coming together despite—or because—of that!

When we shared the vision at the kickoff meeting in February, there were a bunch of people who’d only just met. Within minutes, they were already troubleshooting light placement. By the end of the afternoon, they’d demonstrated a cool light show—on day one! We now have several self-directed teams that are loosely connected, but working independently.

The bottom line: If you create a compelling enough vision and rough guardrails, you’ll create the conditions for people to self-organize in a way that will surprise you.

The (dusty) installation process at Burning Man.

5. Embrace ambiguity

The beauty of large-scale creative endeavors is in all of the unknowns. Try to remain flexible about who realizes the vision (and how).

Each year there are moments of extreme uncertainty. Weeks before installing the Shrumen Lumen at Burning Man, the origami kept getting stuck when we tried to pull the stems over the steel substructure that would anchor them to the ground. This was completely unexpected and took two weekends to debug. (Spoiler alert: We fixed it, but not without panic!). Troubleshooting is part of the process.

The bottom line: Expect the unexpected, and look for the beauty and lessons in it rather than the difficulty.

One of the most rewarding parts of FoldHaus is that while I may set the vision, once we pull off a communal project, the whole team feels immense ownership and pride. Being able to share both the process and the result is what makes the late nights and desert rainstorms worth it.

See RadiaLumia come to life at Burning Man 2018.

Also: We’d love to hear about your ambitious team efforts, at Burning Man or elsewhere, using the hashtag #MakerArt.

Special thanks to Amy Bonsall for her massive help crafting this story.

We’d been working 16-hour shifts to install our art piece, a series of 10 larger-than-life, undulating, mechanical origami flowers. It was our first big build at Burning Man, and it took way longer than we expected to set up. After days, the flowers still weren’t working. Then came a torrential rainstorm.

No items found.
how to motivate a team to pull off the impossible, leadership, flowers, nature-inspired design

Trust is earned, not machine learned

AI needs to earn our trust, just like any human relationship

Read more
Article
Articles

Direct feedback that teaches rather than chides requires trust, and trust takes time.

Unlike humans, AI craves to know when it’s wrong. The entire premise behind machine learning is that it learns from failure or success. For example, we may feel that weather algorithms always get it wrong, but they can only improve by comparing their forecast to what actually happened. It’s therefore our job to tell the system when it’s wrong and acknowledge when it gets it right—but that requires a level of trust.

We can often tell if our friends or partners are unhappy with our actions, even if they don’t directly tell us. We can read their facial expressions, subtle changes in their tone of voice, and body language. Machines, however, don’t have that kind of intuition. Until we’re all walking around with some kind of lightweight EEG machine strapped to our head, machines will need to find proxies for how to sense human emotions, desires, and preferences. The obvious way to do this is to just to ask us, but that is manufacturing a transactional relationship, not a trusting one.

All I’m asking AI is for a little respect

A good example of an AI asking for trust rather than earning it can be found in the personal styling services that are popping up. They are doing some amazing things in integrating data science into every component of their business to drive growth. But my experience put me in the awkward position of feeling like I needed to explain myself and share sensitive personal details with someone I’d just met.

Signing up for the subscription service begins with a long and detailed survey about body type and style preferences. I spent a good 30 minutes thoughtfully answering myriad questions to create my style profile, and yet I returned everything that they sent me in the first box. None of it jived with my personal style, and only one thing fit.

I had put the time into creating a relationship with the AI—training it with my intimate information, such as how my body was shaped—and that process had given me a false sense of mutual understanding. If it had just taken a look at my Instagram profile and sent me a box, I would have given it permission to get it all wrong. But its surprisingly clunky and unnatural way of “sensing” my preferences for clothes set an unrealistically high expectation of what was to follow. Questions about slightly nuanced styles of plaid let me to believe that it could understand I like simple patterns—and then it sent me a shirt better fit for my grandfather.

By asking me to train a system before we had established a relationship of trust, the AI had breached it before it had even formed. When I’m in a trusting relationship, I can forgive someone for an error. But this felt different—like I’d been duped into a false sense of intimacy. I’m going to try one more box, but I have a strong hunch I’ll be cancelling my subscription soon.

AI is a relationship

While rare, there are a few AI with whom I’m in a trusting relationship of mutual respect. I relish my moments of training them because they respect my time and provide me with value as I train them—even when the AI is mostly wrong. I’ve come to truly value those moments when they tell me I’m wrong, because they do so in a way that deeply respects my position as a human and their position as a machine.

The format of the playlist is likewise brilliant: I don’t need to rate the songs but simply listen to them or skip them after I’ve heard a bit, and songs that I love get added to my own playlists or saved to my phone. Over time, it learns my preferences and can dish me up even better tunes. There’s no artificiality to training Spotify, and each and every time I train it, there’s value back to me as the user. Most importantly, Spotify has earned my trust through helping me discover a slew of new artists and, in doing so, earned its right to be wrong. (I don’t really love St. Vincent, but I understand why Spotify thinks I would.)

But we’re not the only one doing the teaching. When it comes to “training” humans, Waze and Google Maps are setting the standard. Their features are clearly based on a deep understanding of the common human emotional conditions that we endure during traffic: stress, anxiety, impatience, and a deep temptation to bail on our algorithmically recommended route in favor of our own “shortcuts” (which are almost never shorter).

Maybe the most brilliant bit of human-centered design inside of these navigation apps is how they highlight alternative routes and how much longer they’d take. Instead of having to blindly trust the route the AI has chosen, it considers its own possible fallibility and assures us by showing us the other routes we might be considering. Thinking of bypassing the highway? That’ll take another four minutes. Want to cut through that residential area? Here’s some construction of which you might not be aware.

In this way, Waze and Google Maps serve as a sort of angel on our shoulder, counseling us away from our inner traffic-hating demons. They’re not “AI-splaining” or chiding us for considering alternate routes, but rather giving us the necessary information to make the right decision. They’re rooted in a deep respect of human agency.

At IDEO, we prefer to think of AI as Augmented Intelligence rather than Artificial Intelligence. Taking a human-centered approach to building relationships between AI and humans compels us to meet humans on their terms, building relationships of trust and respect, and always remembering that intelligent systems must exist in service of humanity, not the other way around.

Beautiful, human-centered, human-AI relationships are about understanding human beings and our wonderful, weird intricacies and inconsistencies. They’re about designing the experience of AI around humanity, rather than the other way around. AI can only function well if it learns from its mistakes, and that means establishing trusting relationships with humans so they’ll feel comfortable saying when it’s wrong.

This article was originally published in Quartz Ideas.

Illustrations by Cassandra Fountaine.

It’s awkward to correct a stranger when they’re wrong. How did you feel when Miguel from IT, whom you’ve only met once, told you that “learnings” wasn’t a real word? Or when Robin lectured you about the correct pronunciation of “macaron” at the office holiday party?

Technology
AI & Emerging Tech
trust is earned not machine learned, technology, digital innovation, ai, emerging technology, artificial intelligence, ai strategy, learning

Teaching AI to see our best side

Teaching machines to respond to our most personal preferences

Read more
Article
Articles

But, for the most part, that relationship is passive. And that begs the question, what if we could teach our machines more actively? Could we school them on very specific things that are important to us? That thought became the perfect setup to build a little experiment involving selfies.

A self-portrait or a selfie is actually more than just one picture. It’s one picture out of endless tries which all look pretty much the same ... except that they don’t. At least not to the person taking the self-portrait. That person’s individual aesthetic, packed with subtle and subjective nuances, must be captured at exactly the right moment. Adding to the challenge, it's hard to explain to someone else the way you squint your eyes when you nail your smile or how you purse your lips to look roguish.

Enter Brainchild: a machine learning–based camera that can be taught individual preferences and make them accessible as a function. You can train the camera to understand how you like to see yourself without going through 100 iterations. And most importantly, it allows you to share your sensibility with somebody else.

Brainchild is just a prototype for now, but I'm hoping others will be inspired to build on the idea.

Brainchild camera perspective view
Left: Functional prototype of the Brainchild camera, Right: Visualization of layer activation in convolutional neural network

Beautiful, baby, beautiful

Machines are a billion times faster in quantitative tasks than we are. For a long time, the problem was one of not understanding quality. But that has changed with the improvement of so-called deep learning techniques—a subset of AI or machine learning.

By teaching Brainchild how you would like to be portrayed, it can assess the quality of what it sees in real time, and give you haptic feedback when it perceives you looking your best, so you can simply take that one picture.

It also allows others taking a snapshot of you to see you as if through your own eyes. Taking portraits is a very intimate art. Rather than taking the human out of the loop, Brainchild augments this human-to-human interaction by making it more collaborative.

Comparison of portrait photography with traditional camera and brainchild camera

A feel-good feedback loop

The intervals between interacting with machine-learning products and experiencing their learnings are often very long. There are many technical challenges, but more accessibility and immediate feedback would help us teach more actively and develop a better intuition for them. In return, machines could learn better and become more personal.

Brainchild is designed to provide immediate feedback. You teach it how you like to be portrayed, instead of letting it guess, and every picture you take based on its haptic recommendation serves as feedback on how well it learned and how well you taught it. (Plus, it's private. Brainchild works offline and stores all of your information locally, so there's no danger of it being shared.)

Smile!

How does the Brainchild prototype work? There are countless technical parameters we could talk about, but in the most simple terms, it makes use of a so-called transfer learning process based on a fine-tuned convolutional neural network—a technique frequently used in computer vision.

Brainchild needs to be taught five fundamentals:

  1. What a human face looks like
  2. How to learn about new faces
  3. How to isolate the face in a picture
  4. The way the portrait subject looks normally
  5. The way the portrait subject looks when they deem themselves looking their best

The first two points require huge amounts of coding, data, number crunching, and time. That’s what consumed most of my time (next to working on the wrong file for a day!).

The third point addresses the fact that when you take a portrait there is always something behind you. To focus only on you without distraction, Brainchild extrudes your face from the background. That is something it learns before you use it.

Then you become the teacher. In order to learn how you look your best, it needs to know how you look normally. So, you feed it a few examples of both, either by taking new snapshots, or by using pictures stored on your phone.

To help Brainchild differentiate between the two picture sets you simply twist the front plate, switching between two learning modes. The serious smiley means every picture you take will teach Brainchild how you look “normally”. Switching to the happy smiley means every picture you take will teach it what it looks like when you look your best. This is how you get to know each other.

Left: training-mode “normal”, Right: training-mode “good”

As soon as the camera spots you in a way that matches what you taught it about looking good, it will gently vibrate and light up the camera’s trigger button. The vibration and brightness increase the closer your match with your own ideal.

Brainchild doesn’t snap the photo for you, it just signals you at the optimal moment to do so. You can also hand the camera to someone else to capture you in the way you like to be captured. And the more you teach it, the more accurate it becomes.

Left: photo-mode no feedback, Right: photo-mode light and vibration feedback
Brainchild camera enabling another person to take a picture according to the portrait subject’s aesthetic preferences.

It might seem mundane to teach a camera how to take a better selfie, but the technology has already inspired one of our clients to rethink parts of a high precision medical device that could dramatically reduce treatment costs for patients, and another software engineer to work on a playful version of FaceID.

I myself am now working on a body pose add-on for fashion photography, and am curious to see all of the other ways we might actively teach our machines and help them augment us in more personal ways.

Instagram: @brain_children
Concept and Technology: Jochen Maria Weber
Visual Design: Tiffany Yuan
Industrial Design: Leo Marzolf
Special thanks: Tobias Toft

We teach our machines every day. Voice assistants learn how to talk to us based on what we say to them. Navigation apps guide us based on the routes we take. Without millions of teachers like you, our machines would be much dumber.

Technology
AI & Emerging Tech
teaching ai to see our best side, technology, digital innovation, ai, emerging technology, artificial intelligence, ai strategy, education, learning, voice design

7 ways to design an unforgettable event

How to engage your guests beyond the panel

Read more
Article
Articles

What do you do when a panel is truly the star of the show? Can you still design meaningful participation from your guests beyond the Q&A?

This was our challenge when IDEO CEO Tim Brown, pioneering social entrepreneur Jacqueline Novogratz (Founder of Acumen), and visionary CEO Carlos Rodriguez-Pastor (CEO of Intercorp and Founder of Innova Schools) sat down for a conversation about design and bravery in our New York office. We knew these three would inspire guests with heroic stories of using design to create change at scale and challenging orthodoxies. But could we keep the crowd inspired after the conversation ended?

Our best bet, we decided, was to design a series of activities that would send guests on a heroic journey of their own—from hearing the call to adventure to facing fears to celebrating triumph over adversity. The result? A happy swirl of exploration and discovery, with guests staying late to gather around the hands-on exhibits like family in the kitchen at the holidays.

Here are seven ways to leverage a panel discussion and design an event they’ll never forget.

1. A moment to unwind

Create a ritual to help guests wash away the baggage of the day and be present for all that follows. We invited guests to partake in a sonic shower, an immersion in music that stretches the ears and awakens the senses.

Try this: An aromatherapy bar for deep breaths of invigorating or relaxing scents.

2. Active imagining

Even the most thought-provoking panels amount to a type of passive contemplation for listeners. Follow a panel with a prompt to actively imagine. We asked guests to hear the call of service, by imagining they were a person they serve and writing in that person’s voice in response to questions like, “What would it take for you to feel confident about the future?”

Try this: A finish-the-doodle mural wall or a listening booth with a guided meditation.

3. Space to be vulnerable

Offer your guests the surprising jolt of inspiration that comes from being vulnerable and naming your fears. We designed an anonymous confessional, tricked out with blacklight and digital wizardry, where guests wrote their fears on a private screen, then watched their words magically appear on a monitor in type for party guests to see.

Try this: Pair strangers up using matching name tags and asking them to find each other and swap secrets.

We designed an anonymous confessional to help guests embrace vulnerability.

4. Fast-tracked inspiration

Inspiration can also be fast and light. We sent guests on a tour of themed rooms devoted to New York’s legendary cultural movements—Punk, BeBop, Hip Hop, the Beats, and the Harlem Renaissance. Each room was chock-a-block with images, sound, and strips of paper bearing anthemic words from the movement. It was a blast of culture felt through the senses.

Try this: Give guests a deck of cards created from your favorite inspirational Instagram memes.

Guests were invited to tour the most iconic cultural movements in New York history.

5. Skin in the game

Putting one’s body on the line—through movement, physical sensation, or embodied action—is the ultimate form of engagement. For our biggest test of bravery, we dared guests to stick their arm through a hole in a black screen to blindly receive a semi-permanent Jagua-ink tattoo from an artist on the other side. No requests or restrictions permitted.

Try this: Ask guests to enter a space through one of two thresholds marked by declarations of identity, like “I’m an artist” or “I’m an activist.”

The ultimate trust exercise—blindly allowing a stranger to draw on your skin with semi-permanent ink.

6. Making

Who doesn’t like to roll up their sleeves and craft something fun? Making gives your guests an outlet for any new, creative ideas your event has inspired. We handed guests shortbread cookies, pipette bags full of icing, and examples of exquisite cookie decoration to emulate.

Try this: A collage-making table with old magazines, construction paper, scissors, and glue sticks.

7. Silly celebration

Even the most buttoned-up among us appreciate the chance to let their hair down. We gave permission to get silly with an IDEO designer’s GIF Dance Party, accompanied by another designing spinning live music. Guests grooved in front of a camera for a few seconds, then watched their avatar populate a digital dance floor on monitors throughout the space.

Try this: A box of masks and capes and the promise of a free drink for anyone who orders as a superhero.

We asked guests to get jiggy with it, and they obliged.

To summarize: Get creative. Get physical. Get weird. Your guests will thank you for it.

Got an idea for an out-of-the-box event activity? Share it with us on Twitter using the hashtag #DisruptThePanel.

Ever attend a conference? Then it won’t surprise you to know that every event planner out there wants to disrupt the panel conversation. (We’ve been experimenting with the format for years and sometimes a panel is still the best choice.)

No items found.
7 ways to design an unforgettable event, experimentation, testing new ideas

Lindsey Turner

I’m passionate about building brands, products, and experiences that help organizations show up with meaning and momentum.

Read more
Leader
Leaders

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.

My tween twins teach me more about technology and gen-alpha than the last decade of trend reports.
Making things that matter
Consumer Products & Retail
Media & Entertainment
AI & Emerging Tech

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

Read more
Leader
Leaders
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.

The greatest project to which I’ve ever contributed is raising my two daughters with my husband.
Uncovering unmet needs
Consumer Products & Retail
Learning & Work
Media & Entertainment
Play
Public Sector

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.

Read more
Leader
Leaders

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 love a good crit.
An inclusive, hands-on approach
Health
Learning & Work
Media & Entertainment
Public Sector
AI & Emerging Tech

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.

Read more
Leader
Leaders

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.

I have a thing for antique maps.
Developing China-led innovation and capabilities'
Consumer Products & Retail
Food
Learning & Work
Industrial & Manufacturing
Episode image

How to use AI as an editor, not a writer

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

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.

Listen
Podcast
Podcasts

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.

AI & Emerging Tech
Media & Entertainment
Technology
Episode image

Building a personal AI for the messiness of life: Sida Li

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

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.

Listen
Podcast
Podcasts

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.

Health
AI & Emerging Tech
Technology
Learning & Work
Episode image

Designing GenAI for the emotional side of money: Johannes Seemann

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

Designing financial tools around the feelings that shape money decisions.

Listen
Podcast
Podcasts

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.

Health
AI & Emerging Tech
Technology
Financial Services
Learning & Work
Episode image

The curious leader's edge in uncertainty: Scott Shigeoka

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

How genuine curiosity helps leaders navigate uncertainty with greater confidence.

Listen
Podcast
Podcasts

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.

Learning & Work
Nothing’s coming to mind.

Looks like you might be in search of something very specific?

Feel free to drop us a note and we’ll happily help you find what you’re looking for.

Or reset the filters above and try another angle.

If you’d rather just chat than scroll through our site, we’d love to hear from you.

Feel free to include any details or anecdotes about what brought you here today, it will help make sure we get you connected to the best person right away.
Load more