

Reintroducing The Lawrence Hall of Science
A lively new brand reenergizes a STEM learning institution.
Named after Ernest O. Lawrence, UC Berkeley’s first Nobel Laureate, The Lawrence Hall of Science’s wide-ranging products, services, and tools developed organically over half a century. To begin to make sense of the breadth and depth of its offerings, IDEO asked leadership and staff to surface the myriad activities, audiences, and relationships with external partners, enabling the group to visualize—and make sense of—the totality of The Lawrence brand.
During in-depth research with parents and kids, educators, and experts, IDEO discovered that each of these audiences had distinct mindsets. Parents and kids engaged with The Lawrence to explore, have fun, and dive deeper into a specific topic. Educators utilized it for professional learning opportunities and to discover new, exciting classroom tools. While experts, including UC Berkeley faculty, STEM educators across the US, and funders, viewed the center as a resource for best-in-class STEM education research. The mindsets highlighted The Lawrence’s unique capabilities, but the complexity also created some opportunity areas, including ways to use storytelling to create emotional resonance around The Lawrence’s core values and how to design a unified narrative to connect the dots across audiences and offers.

Building on its strengths as an institution and the identified opportunity areas, IDEO created a modern, vibrant, and flexible brand that strategically and visually unites all of The Lawrence’s offerings, working across digital and physical media. Grounded by a grid system, the updated brand identity is simultaneously rigorous and fun, featuring a bright color palette and signature retro-cool super-nova mark. Different offerings are bundled together based on different audience needs, preventing confusion and easing navigation. Even the name of the science museum, The Lawrence Hall of Science, was updated to a more contemporary and approachable, The Lawrence, inspired by The Met.

The Lawrence unveiled its new brand with much fanfare in late 2018 as part of its year-long 50th anniversary celebrations. Visitors can see the updated identity across all public-facing elements, including The Lawrence’s website, curriculum and educator materials, letterhead, collateral, and exhibition and wayfinding signage. The redesigned brand has been credited with bolstering the popularity of the science center among families and schools and causing ticket sales to return to—and exceed—pre-pandemic levels. Internally, the rebranding effort has helped generate excitement and energy across departments, helping solidify a collective future strategy and vision for its next 50 years.

The Lawrence Hall of Science’s diverse offerings had grown extensively over the decades, creating a confusing and disjointed experience for its various audiences. On the eve of its 50th anniversary, Lawrence leadership sought a brand refresh to better connect with its target audiences and differentiate itself in the STEM education ecosystem.
Over $6M in new funding
raised to transform and modernize The Lawrence, thanks to IDEO's rebranding effort


Reinventing classic British pubs and inns
Greene King’s upscale Everly Hotels Collection combines modern comfort with local impact.
When Greene King approached IDEO in early 2022, it was (and still is) one of the UK’s leading hospitality brands, with over 2,600 pubs, restaurants, and hotels. At that time, consumers in the UK and other parts of the world were beginning to rediscover the joys of travel after years of pandemic lockdowns. Greene King’s newly formed Venture Hotels Team wanted to understand how guest expectations had shifted during Covid-19 and how a new customer-centric hotel brand and signature service experience might meet—or exceed—their expectations.
To get inspired, the IDEO team interviewed a range of travelers of different ages and backgrounds, met with hospitality and luxury experts, and conducted immersion visits, including visiting high-end hotels. The research revealed modern travelers want unique hotel experiences that cater to their curiosity, support local communities, and are environmentally sustainable. Luxury, which once meant “exclusive,” was now about enabling one-of-a-kind cultural experiences. Today’s travelers value inclusivity, accessibility, and well-being; they want to feel welcome, do things at their own pace and have thoughtfully curated options to choose from. They also expect hospitality practices to be ethical and sustainable, contributing to the welfare of local communities and the planet.

Building off this research, IDEO crafted a new entry proposition for Greene King’s new Everly Hotels Collection called “The Discover Collection,” which leverages the best parts of a classic British pub and inn—bespoke historic locations full of character, culture, and stories—while offering guests a modern experience from pre-arrival to departure, all grounded in supporting the communities they are in.

Signature moments include a warm welcome during check-in, as well as staff recommendations and local maps highlighting neighborhood gems. During their stay, guests enjoy expansive seasonal food menus, as well as a beverage menu that includes a wide variety of locally brewed, distilled, and crafted drinks by local suppliers. Rooms feature a smuggler's treasure chest with a surprise treat. Art and books from local talent are on display throughout the hotel, and local experts lead activities and events. Guests tangibly experience Greene King’s commitment to sustainability through its use of local materials, produce, talent, and partnerships, all designed to support the surrounding community. Upon departure, guests receive a personalized postcard.

In addition to the hotel experience moments, IDEO delivered branding recommendations for The Everly Hotels Collection, including visual identity and tone of voice that provide a cohesive look and feel for the collection of hotels while simultaneously showcasing each property's unique character. This was all packaged as an experience playbook, with design principles and briefs to help guide implementation decision-making across Greene King’s marketing, digital, interior design, and food and beverage teams.
A few months after the project ended, Greene King launched The Everly Hotels Collection. Its pilot hotel, The White Horses in Rottingdean, East Sussex, opened within the year. The new brand and guest experience strengthened bonds with Greene King’s loyal customers and first-time guests, ensuring the brand's relevance and appeal in a competitive market. More hotels are planned in the future in other scenic UK locations.



Greene King wanted guests to have a consistent brand experience while maintaining the storied charm that makes each property unique.
2 years
from concept to the launch of Greene King’s boutique Everly Hotels Collection
1 pilot hotel
The White Horses opened in Rottingdean in 2024


A new paradigm in data storage
Designing the iodyne Pro Data and Pro Mini hard drives.
The hard drive space is full of companies competing over technology and performance. But iodyne wanted to add another layer, focusing on user needs and product aesthetics to better position the company to meet the values of a broader audience and create compelling new entrants into this crowded market.
Together, IDEO and iodyne jumped into in-depth discovery research to learn more about the needs of their end users. The team sat down with photographers, videographers, and digital imaging technicians, asking questions about their file management systems, how they used hard drives in the field, and how they stored them for transport and at home. They also headed to the source, visiting studios and home office set-ups to understand the full range of potential use cases.

A few big discoveries leaped out. No one had a single storage solution to rely on. Users constantly transferred data from different hard drives designed for different purposes (in the field versus at home), accumulating hundreds of old hard drives over time. Traditional hard drives also don’t allow multiple users to work off them simultaneously or come with software systems that help keep projects and tasks organized, protected, and sharable. Meanwhile, the ever-shrinking size and weight of laptops—and people’s willingness to take them everywhere—set a new benchmark for portability, one that iodyne could lean into.
With these and other insights in hand, the team brought unrivaled performance and aesthetics together to create a far superior user experience. IDEO and iodyne developed Pro Data’s engineering architecture, collaborating on thermal performance analysis, material choice, inspection of sample parts, and even packaging design. By combining integrated venting, multiple laptop-quality fans, smart power management, and 20 thermal sensors, the team was able to minimize cooling fan loads and reduce noise and power consumption. A single, centralized, and consolidated storage space makes sharing data among teammates easy, too—up to four computers can connect to the Pro Data at the same time and access the same files. The redesigned Pro Data creates new value for consumers in a highly mobile, secure package that can go from desktop to backpack and back again.
The iodyne Pro Data hard drive launched in 2021 to overwhelmingly positive reviews. Storage Review wrote “Nothing else comes close to this level of performance in a package this size,” while Jemery Boros of StarGate Studios said “I don’t think I could have done the shoot without Pro Data. It was easy to use, fast, and kept all of our data safe on the other side of the world.” The drives have since been used in the making of major motion pictures from F1 to A Complete Unknown.

Spurred by Pro Data’s success, iodyne decided to create a second product with IDEO, a Pro Mini that could provide the same cutting-edge performance and sleek design but scaled down to fit the needs of customers who required less storage capacity in an even more portable package. Pairing Pro phone-quality industrial design with a unique internal solid-state cooling architecture that imposed key constraints on airflow was critical.
IDEO worked with iodyne to create the Pro Mini’s internal layout and collaborated with an emerging engineering company to incorporate novel solid-state cooling technology, positioning the vents to maximize airflow and optimizing how users physically interact with the device. The team also addressed users’ durability concerns, advising iodyne on part selection as samples came in from vendors. The new Pro Mini is set to ship in the second half of 2025.
Hard drives are essential tools of the trade for people with large troves of media to store and transfer, like photographers and videographers. But beyond rolls of masking tape and label makers, there isn’t an easy way to see what’s on each drive without literally going through them one by one.
Traditional hard drives generate a lot of heat and need fans to cool them, making them bulky, loud, and slowing transfer speeds.
Many external hard drives are treated like commodities. They’re designed for mass production rather than for durability and aesthetics.
2 cutting-edge hard drives
to market in 3 years


Introducing LA’s mental health crisis first responders
Helping a kinder, safer emergency support arrive first on the scene.
LACDMH is the nation’s largest public mental health department, serving over 10 million people. The agency provides critical support for the most vulnerable, including staffing a toll-free, 24/7 Help Line. Since late 2024, more than 70 Field Intervention Teams—comprised of mental health clinicians (social workers, psychologists, licensed psychiatric technicians, and registered nurses) and community health workers (trained peers or community members with lived experience)—have been dispatched around the county to help de-escalate mental health crises quickly, compassionately, and without force.

Because those experiencing a crisis are often too disoriented, confused, or otherwise unable to seek help for themselves, IDEO’s communication strategy targeted reaching “trusted messengers”—parents, spouses, siblings, and friends of people who have a mood or personality disorder like schizophrenia or bipolar disorder. The campaign aimed to define mental health crises, help people understand what to expect when they call, build trust in FITs, and divert mental health crisis calls away from 911.
To understand what drives these specially trained mental health professionals to do this type of work—and what sparks trusted messengers to call for help—IDEO met and interviewed former clients and loved ones who had reached out to the county for support during a mental health crisis. The team also interviewed multiple FIT staff to learn more about how they approach clients and families.
The research inspired the communication strategy’s central idea: position FIT members as real-life superheroes and first responders. By associating FITs with that term, the campaign changes the narrative and communicates their compassion and expertise to those in crisis. Custom illustrated portraits feature actual FIT staff in strong, action-figure-style poses, while a bright, eye-catching color palette and clear, direct language convey confidence and inspire trust.

The team explored their initial design directions in a series of focus groups with LA residents, trusted messengers, and county and mental health workers to better understand the impact of the potential messaging and visuals. The research uncovered the importance of clarity, even in an inherently emotional situation. The IDEO team discovered that transparency—and real personal stories—would be the key to building public trust in ACR.
Between March and June of 2025, the robust awareness campaign will run across LA County in a number of languages on city buses, in Metro stations, on social media, streaming TV, radio, and more. An updated landing page on LACDMH’s website includes in-depth information and educational videos about mental health crises, as well as heartfelt testimonials from staff and former clients who have been helped by the service.
LA County Department of Mental Health created an innovative new program to provide urgent, compassionate care to Angelenos experiencing a mental health crisis but needed help driving awareness of its service across the region.
Calling 911 is an entrenched behavior in an emergency. However, dispatching police officers who are not trained in mental health can make a bad situation worse. In 2022, 39 percent of people shot by LA police officers were in the midst of a mental health crisis.
172 million impressions
delivered via digital and physical ads across LA
50% increase
in calls to the ACR helpline, year-over-year, attributed to IDEO’s awareness messaging
24%
of Angelenos now name LACDMH as the first to call in a mental health crisis, leapfrogging 911 or the police, which slipped 14.3 points


Trust is earned, not machine learned
AI needs to earn our trust, just like any human relationship
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?


Teaching AI to see our best side
Teaching machines to respond to our most personal preferences
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.


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.

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:
- What a human face looks like
- How to learn about new faces
- How to isolate the face in a picture
- The way the portrait subject looks normally
- 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.

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.


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.


7 ways to design an unforgettable event
How to engage your guests beyond the panel
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.)


5 quick org design tips
Lessons in organization design (from a product designer!)
There was a lot to celebrate. We’d launched an innovation lab and piloted new products as part of a larger, multi-year collaboration to expand the organization’s human-centered design capabilities and enable culture change.
And our collaboration had revealed something crucial: In order for the product to be successful we also needed to support the underlying organization, which meant looking more holistically at strategy, process, tools, and incentives.
That became an opportunity for me, an interaction and product designer by training, to apply my trade through an organizational lens. It turned out that the prototyping methods that I had learned could also be applied to people and processes. By experimenting, responding to feedback, and iterating, we could help nudge behavior change within the organization.
Here are the five big lessons I took away:

1. Speak their language
We were working with product managers, engineers, and designers, so instead of explaining what we planned to change with academic research and abstract frameworks, we used language they already understood. We were going to run scrappy experiments, learn quickly, and iterate. If the ideas didn’t work, we’d pivot and try something new. But instead of prototyping products, we were experimenting with people and processes.
Big insight: Meet people where they are. Ground organizational design in a familiar context, and make it tangible in order to build trust.

2. When facing big change, start small
Behavior change is hard. So, we started with small experiments. What was the least that we needed to design in order to learn—the minimum viable product (or MVP)—and to help nudge new behaviors? In one instance, to test our hypothesis on the need for a company-wide training program, we started by creating a workshop for one multi-disciplinary team of 10. Its success soon paved the way for a broader rollout.
Big insight: Organizational change doesn’t have to begin with big initiatives. Starting small with prototypes can lead to big learnings and start to shift behavior.
3. Measure impact in creative ways
Email surveys are an obvious way to take the pulse and determine whether experiments are resonating with individuals, but they can easily fall to the bottom of a priority list. We tested more lightweight, in-the-moment feedback methods. After prototyping a beer and knowledge-sharing gathering, we asked attendees to place a magnet on a board to indicate their responses to a few questions, like: “Would you come again?” and “Did you learn something?” It was an easy and immediate way to figure out if the idea was worth evolving.
Big insight: Simple and in-the-moment measurement tools can be enough proof of concept to move forward quickly.

4. Find the right ambassadors
Early on, I was determined to get all of the senior executives involved in our prototypes. What was I thinking? Their understandably divided attention and packed calendars made that next to impossible. In the end, some young, energetic community managers were the ones who embraced our ideas and helped push them forward. Not only did they have the time and passion for the projects, but they were also trusted leaders within the company. Community managers helped us organize an informal gathering of product people to share methods over beers. (Yes, beer again. When in Germany!) We asked a VP to simply show up. When he saw the overwhelming attendance and impact on the community, he became one of our biggest advocates. Teams that had been working in silos started to meet regularly. The more we demonstrated quick wins, the more senior leaders got on board to encourage new behaviors throughout the organization.
Big insight: The best agents of change may not be the most senior folks. Look for individuals with passion and social capital.
5. Make it stick
There are two things that we did that helped ensure that our ideas lived on after we were gone. First, we found owners within the organization who would commit to moving our ideas forward. Second, we helped create an internal group dedicated to maintaining momentum. This group provides leadership training and coaches teams to ensure both a top-down and bottom-up approach to behavior change.
Big insight: Prototypes are just the beginning. Organizational transformation requires dedicated owners and a multi-layered strategy.
It all adds up to a set of behaviors: Get scrappy, get tangible, find your people, and learn by doing. It never hurts to do some reflection from a rooftop, too.
Not long ago, a coworker and I found ourselves contemplating the eclectic Berlin skyline. We were on the rooftop of our client’s office—a leading European brand in online retail—and thinking back on what we’d learned from embedding with them for a year.


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.
Building a personal AI for the messiness of life: Sida Li
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
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
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.
How constraints make us more creative: David Epstein
Mina Seetharaman talks with David Epstein, author of Inside the Box and Range, about why total freedom often produces average work, how leaders can design useful limits on purpose, and what organizations such as General Magic and Pixar reveal about the relationship between boundaries and creativity.
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