

Using data to connect global teams
Helping a multinational company connect staff members across locations and identify new areas for growth.
In 2017, IDEO acquired longtime partner Datascope and integrated the company’s data scientists and engineers. Datascope team members aren’t just passionate data scientists; they’re human-centered designers who happen to work with data, as illustrated by successful collaborations like this one:
If Procter and Gamble (P&G) were a city, it would be the size of Boulder, Colorado. The company employs more than 100,000 people in 70 countries. Its research and development team is made up of more than 20,000 specialists working across locations, languages, and areas of expertise, from cleaning chemicals to paper products to over-the-counter medications.
P&G approached Datascope to help the company connect these researchers to one another and the rest of the organization. In working with P&G leaders, Datascope found that the company needed a better way to access and leverage employee expertise. Managers routinely got requests from researchers looking to work with others in their subject areas, but didn’t know how to identify the right partners or set them up for fruitful collaboration.
Datascope gathered internal data, including unstructured research data on the scientists’ interests and who they partner with most often. The team used that information to develop two new systems that bridge the gap for P&G researchers and managers. The first is an internal search engine that lets managers quickly find and connect the right experts across P&G offices worldwide. The second is a data visualization tool that highlights subject areas ripe for more collaboration among experts and research teams, who may already be asking similar questions. This intelligent tool can surface relevant, timely information managers need to connect their teams.
P&G already had a practice of collecting information for product research, but it wasn’t until Datascope came on the scene that the company took advantage of large, multi-layered data sets and made them more intelligent, so leaders could expand P&G’s expertise through new global partnerships.


Crunching customer data to deliver better smartphones
Helping a big tech firm turn mountains of customer feedback into product improvements in real time.
In 2017, IDEO acquired longtime partner Datascope and integrated the company’s data scientists and engineers. Datascope team members aren’t just passionate data scientists; they’re human-centered designers who happen to work with data, as illustrated by successful collaborations like this one:
The second a smartphone debuts, buyers, bloggers, and journalists begin writing comments and reviews—and users start troubleshooting. Motorola Mobility wanted to tap into this river of data, but didn’t have the right tools to collect and respond to it.
Motorola’s design, engineering, and service teams hoped to identify product problems early, address them quickly through customer support, and ultimately fix them in future releases.
So Datascope built a custom engine that aggregates and analyzes feedback from hundreds of millions of phrases and internet references, drawn from consumer sites, user forums, news coverage, social media feeds, and product reviews. The tool parses key, product-specific information and routes it to the right Motorola teams: hardware, software, connectivity, and interface design, to name a few.
The analytics and visualization engine not only studies product performance in real time, but it also uses algorithms to gauge customers’ emotional reactions: Do they like the phone or hate it? Do they have complaints? Are they recommending it to friends?
Datascope’s tool translates all this data into simplified to-dos that are sent to the correct service and repair staff before user issues can mar a product launch or even the company’s reputation. And as engineers discover more about how a phone performs in the real world, they learn how to avoid making similar mistakes in the future.
The tool proved valuable as soon as it launched in 2012: When Motorola released the RAZR M smartphone, customers had a hard time figuring out how to use wifi and voice features at the same time and lodged complaints online. The engine recognized the pattern of complaints and alerted Motorola's customer support team, which was able to post responses with clear instructions in every relevant forum, turning a potential customer satisfaction problem into a positive interaction.
Motorola continued to use the engine to address issues in later releases of the RAZR M. The advance warning made engineers’ lives easier, while better handsets and software made for a more seamless customer experience. Improvements were also evident in the RAZR M’s well-reviewed next generation, the RAZR MAXX.
Based on the tool’s success, Motorola used it to improve the company’s supply chain and product development process. And beginning in 2014, with the Moto 360 smartwatch, Datascope’s analytics engine has been used to gauge performance and public sentiment not just for new smartphones, but for Motorola Mobility’s entire line of products.


Rethinking baby food packaging
Collaborating with Plum to create a new, wholesome experience for new parents and babies.
For most parents, ensuring their child’s proper nourishment is a top priority. But that’s not always easy, especially for parents on the go. Plum Organics, an organic baby food company, set out to solve that problem by providing families with pureed fruits and veggies in pouches, making it easy for them to feed their babies. Plum approached IDEO for help designing a non-pouch package that could showcase the vibrancy of the ingredients within.
By conducting research and in-person interviews with families, Plum set out to ensure that the new product was both desirable and functional for parents and their babies. By joining families in their homes, IDEO was able to gather essential insights that helped inform prototypes and the final design, like the fact that nothing can replace the feeling of making an intimate connection with a child through spoon feeding; that baby food is often wasted if a parent can’t remember how long a product has been in the fridge; that families struggle with how to spoon-feed their children on the go without making a mess, and that both parents and retailers were concerned that baby food jars don’t stack securely on shelves.

With those insights in mind, the team designed a transparent bowl that allows consumers to see the natural color of Plum’s vibrant, organic food. A resealable lid makes it easy for parents to store food between feedings, and the container includes a feature that allows them to track the day that they opened the pack to ensure that they don’t end up throwing away perfectly good food. Lastly, the new package is easily and safely stackable and includes a divot in the lid for parents to rest a spoon on, making for a much cleaner and more sanitary feeding experience.
Baby Bowls for Plum are now available at retailers nationwide and are a natural evolution for the brand, helping Plum continue to provide high-quality, organic baby food for consumers and their children, even if they’re eating on the go.



Transforming the way you learn about your DNA with a genomics startup
Helping people harness their genetic information by launching the first store for products powered by DNA.
Accessing our genetic code is as easy as spitting in a tube, but how can we benefit from all that DNA data? IDEO surveyed more than 1,000 Americans about the gene sequencing services they want. "Give me things I can act on,” one respondent said. “Give me advice, action plans, apps, and tools. Information is just air until I can put it to use." As it turns out, tools that can translate our genetic information into better life choices—to improve our health, chart our family history, or even find an effective exercise routine—are hard to come by.
Inspired to organize and apply the wealth of genetic data in all of us, Helix envisioned the first online platform for products that offer insights based on a person’s unique DNA sequence. The startup’s founders approached IDEO to help them get to launch by identifying their future market segments and designing their brand and product offering.
Helix sequences all 22,000 of your genes from one saliva sample—sent in a mail-in kit—and hosts a marketplace of products developed by trusted brands and innovative developers that explore your health, ancestry, entertainment, family, fitness, and nutrition. Similar to the Apple app store, Helix lets you pay individually for the products you want and is a platform for developers to launch new offerings over time. After you've provided a DNA sample once, every product in the Helix store is made available to you on-demand. So, as new products are launched and new discoveries are made in the field of genomics, the data from your original sample is all you’ll need to keep exploring your personal genetic insights.

IDEO engaged a range of users, including early adopters of at-home genetic tests and “quantified self” enthusiasts, and surveyed potential Helix customers across the country. That qualitative and quantitative research validated Helix’s “app store” business model and provided key insights into the products people were most interested in.
Through the partnership, Helix uncovered what users need most from a genomics company:
- to prioritize the accuracy and privacy of DNA test results
- to encourage a sense of discovery and exploration of our genes
- to celebrate each individual’s unique qualities
A team of ethnographers, data scientists, and designers at IDEO helped direct the startup’s brand approach (including its name, Helix) and crafted a blueprint for how the company connects with customers and presents its product. The Helix store launched in July 2017.
Our DNA used to be a mystery—something we guessed at by observing our parents. Now, easy access to our genetic code—and the tools to truly understand it—arrives on our doorstep.



Inviting Algorithms to the Design Team
How a graphic designer, a data scientist, and an algorithm teamed up to create an art exhibit
As my team and I prepared for Typeforce, an annual Chicago typography gallery show, we started to think about how we could leverage AI and our own creative skills to build an intelligent system that could work with us—a communication designer, a production designer, and a data scientist—to create a visually distinct submission.
While you might think of typography as designing or selecting just the right font and arranging it immaculately, submissions to Typeforce range far outside that, including everything from carved sculptural elements and needlepoint to hand-drawn tableaus and digital installations. It was our first time submitting to the show, and our goal was to take advantage of this wide-open opportunity and use our individual crafts to make something out of the ordinary.
We imagined a creative process where Kristen, our communication designer, would give an algorithm examples of posters with interesting type compositions, and it would try to learn from them and spit back lots and lots of attempts to create something similar. Kristen could use the algorithm’s generated posters as starting points for creating new posters to feed back into it, as well as clues for what it still needed to learn. Trying to train the algorithm could itself become a great set of constraints for creativity, and when it was over, we could show off the visual artifacts of that back-and-forth process at the show.

We landed on Dadaist and Futurist compositions as an interesting place to begin. The Dadaists made things that didn’t make sense, reacting to a world (at the time, in the midst of World War I) that also didn’t make sense. That felt relevant to today as well, and had the added bonus of being something a computer might be better at producing than more immaculate, grid-based layouts.

So we got to work collecting historical examples we liked, and Kristen traced them so I could feed them into our algorithm as digital files. I got to work on the algorithm itself, which we named Kurt, after the Dadaist artist and designer Kurt Schwitters.
For Kristen, teaching Kurt initially felt weirdly similar to teaching a human design student. He made compositions and she looked at them, identified his strongest concepts, and "suggested" ways that they could be improved through the next round of examples. Then he responded to her feedback.
After this first exchange, though, the differences between an algorithm and a human design student became more apparent. Kurt's learning was reactive, limited to the examples he's seen and the only way he knows to think—in numerical variables like font sizes, rotations, and X-Y coordinates. Human designers often start out this way too—just absorbing examples of design and then mimicking them—but they usually grow past it. Instead of just copying a poster they see, the poster might inspire them to push aspects of it further, or combine them with other styles that work well together. AIs like Kurt can’t do this the way a person can—certainly not yet, and probably not anytime soon.
Kurt also doesn’t understand English, much less design terminology or ideas about why he’s doing anything. He can’t understand feedback about tone or context that Kristen might give her real students, like "your typography feels a little uninviting and impersonal. Is that tone appropriate to your audience/content/message?" And being able to respond to those sorts of questions in a sensitive, nuanced way is pretty central to being a good communication designer.
Ultimately we filled the wall with 90 prints, which made for a nice display of Kurt’s strengths—his ability to learn, and how prolific he can be—as well as Kristen’s—her skill as a designer and how she used those skills to teach.
Designers like Kristen can lean on Kurt to do things humans can't, like create dozens of compositions in a minute, or provide modifications or jumping off points that are really off the wall and decidedly not what an experienced designer would do. Some creative thinkers are already experimenting with these kinds of techniques; Robin Sloan, for example, a writer who hacked a text editor to complete his sentences using a deep learning model trained on a bunch of old sci-fi stories.
We imagine a future with more tools that creators can “teach"—unique products of an individual’s sensibilities that serve to amplify their intent and challenge them creatively, like a synthesizer that learns to play along and accompany in a style complementary to a musician’s vision. We hope Kurt inspires other designers, engineers, and data scientists to explore this future by building “collaborators” together.

As a data scientist, I know computers are great at trying lots of things quickly. But when it comes to learning artful nuance, they can fall flat. At the same time, human graphic designers are great at tweaking and critiquing, but they can only move their hands so fast in Illustrator. It's a juxtaposition that begs the question, can AI and humans collaborate to leverage their unique strengths?


Company Say, Company Do: How Your Words Define Your Business
The common language of business needs a human-centered translation
Battle terminology sneaks in (kill, crush, destroy, capture, acquire); and as in war, it becomes necessary to take the humanity out of those “targets” in order to execute on the plan.
But it’s not impossible to imagine a world where business success goes hand-in-hand with seeing and respecting the humanity of our competitors, or customers, or colleagues. Even at IDEO, where we champion a human-centered approach, the words we use in meetings and briefs can fall into the tried and true trope of conquest.
As a thought exercise, we made a list of the common terms that can dehumanize customers and competitors, and a list of alternatives that might infuse our conversations about individual and organizational performance with more humanity, agency, and reciprocity.
No one needs more business jargon, but we have a hunch that changing the way we speak can change the way we think, and in turn can change the way business feels and what it delivers. We’re trying it out and invite you to do the same.











Business is competitive by design. To succeed, as an individual or an organization, requires assertiveness, power, and strength. As a result, much of the language we use while doing business implies a desire to overpower—or even disempower—our competitors.


To Design a Better Future, Embrace the Uncomfortable
5 prototypes that help us envision the tools & technologies of the future
While we designed a new family of acoustic amps for Fender, we squeezed into an Airstream for two months to better understand the touring musician lifestyle. And when we wanted to better understand the environmental impact of the things we design, we visited a sewage treatment plant to see what happens when a product can't be recycled.
We go after big problems that have never been solved. And by going all in on the unfamiliar and uncomfortable, we’ve come up with creative solutions that we might not have imagined before.
As an industrial designer, I’m a builder. I experience the world with all my senses and apply my tangible building skills to make experiences and systems. Technology inspires me because it's always been an important vehicle to advance our current state. With technology racing forward at an ever increasing pace, some advancements can impact us on an unprecedented scale. As shapers of the future, we must strive to understand the consequences and implications of emerging technology. We do this by asking ourselves uncomfortable questions about possible outcomes during the design process in areas like healthcare, the future of work, and the circular economy.
In order to better understand how emerging technologies could affect our day-to-day life, my colleagues from multiple design disciplines—industrial design, data science, communications, interaction design—and I embarked on an internal IDEO project that could give us some clues. We got curious and asked ourselves, How might the way we’re communicating with each other change with new technology? How might we collaborate together in the future when we can show up in different realities? What could be possible if the digital and physical world blend seamlessly into each other? How will we protect our privacy if we can teach devices our most personal preferences, and what will happen to our data?
We named our project The Discomfort Zone.
In order to explore these uncomfortable, out-there questions, we had to experience them ourselves, and to experience the future we had to build it. Here are the tools that we built:
Personalized Intelligence: by building a camera that can be taught to take the best self portraits based on individualized feedback, we experienced the idea of actively teaching machines our preferences. The user trains it on their ideal lighting, placement, composition, head tilt, and facial expressions. While it may seem like a trivial thing to create, teaching machines to see us how we see ourselves can show us the path to building other devices—like health devices—that the user can teach to adapt to user preferences and feedback.
Complementary Media: a device that can be taught to recognize facial expressions and emotions, then generates an appropriate, customized emotional expression for each user—like a personalized emoji—helped us imagine more depth and expressiveness online using artificial intelligence. This tool can communicate real human emotion, which could lead to improved communication among children, for example.
Shared Realities: a tool, bridging the physical and virtual, that allows workers operating in VR to sense the presence and movements of colleagues around them as if they are on the same plane. An exploration of how virtual and augmented technology might improve collaboration, it allows people to respond to virtual coworkers’ cues without fully disrupting work in the virtual environment.
Network Empathy: code that enables a user to anticipate how large social or interconnected user networks will react to messages before they are posted, bringing deeper understanding and empathy to online communication. With cues from large online networks, smart technology becomes even smarter and empathetic interaction online becomes easier—especially when it is applied to high-profile communications, or at mass scale among networks that might be discussing politics, health, or education.
Meta Identity: code that is invisible to naked eye can be embedded in an object to make it readable by a machine—not unlike a barcode—and give it meaning online. Branding and production methods might evolve toward this physical tagging method, so that users easily learn about physical objects they see, and find them online. Making the physical as searchable as the Internet could further empower consumers to align their purchase decisions with their beliefs and values.
As designers, it is our responsibility to explore the discomfort zone, design holistically, and consider the full range of possibilities of what we create. For example, as much as Network Empathy was intended to be an inclusive tool, it could also be used to manipulate public opinion by predicting the reaction of large audiences. If we use Personalized Intelligence to teach our devices our most personal preferences, what becomes of this new personal data? And who is the owner of this information: the device, the platform, or the individual?
Because technology will serve us on an even more personal level, the stakes are high. Designers are uniquely stationed to be the connectors in an ever more complex ecosystem of stakeholders, and we must ensure the tool leaves the lab and enters an ecosystem with safeguards in place to have a positive impact.
We’re at the dawn of something big and unknown. New technologies are shaping the future in ways we haven’t even thought of yet. Some of them will have extraordinary benefits, while others, through unforeseen capabilities or even sinister intentions, may have unwanted consequences. But as designers, it’s up to us to explore them early, dive into the unfamiliar, and do what we can to shape the future for the better. We’d love for you to join us here in The Discomfort Zone.
The Discomfort Zone was a collaboration among many designers at IDEO. Special thanks to all involved, including the core design team: Leo Marzolf, Jochen Weber, Brooke Thyng, Christian Ramsey, and Nan Tsai.
So much of being a designer is being willing to embrace the uncomfortable. We create new products, experiences and systems for people whose needs are different than ours—sometimes really different.


An Artist’s Love Affair with Cute Patterns
Austin Salmi makes a habit of frequenting tiki bars and drawing clean patterns

In one sentence, who are you?
I am an illustrator who enjoys bringing any amount of joy to people through my creations.
What do you do? How did you learn how to do it?
I create different drawings using pencil and ink. The illustrations range from patterns to caricatures, unique creatures, and other one-off ideas. I grew up sketching and doodling and it has continued. When I moved to LA, I was suddenly surrounded by an amazing cadre of artists and creators who constantly inspire me, as well as push me to keep improving myself. That is how I learned my craft and continue to learn, because I believe you never truly finish learning.

What are your 3 favorite possessions?
Miniature Back to the Future 2 hover board; Magnum P.I. Tiki Mug; a drawing of my fiancé and me, which she drew. Not in that order.
What does a typical work session look like?
I have a running list of ideas and sketches that I pull from if I don't have an art show with a specific topic that I am working towards. Usually, I'll do some Google searches on the topic at hand and pull a bunch of reference photos for perusal during the pencil drawing stage. I sketch out the drawing inside a pre-drawn area, such as 4x6 or 5x7. Art that is easy to frame is always a goal of mine, because I love framed art and it drives me mad when I see things tacked onto a wall or cork board. After finalizing the pencil drawing, I'll usually step away for a moment or two to play a video game or watch a show. I like to do something that differentiates the time between stages. Once I come back to the drawing, I pull out all the different micron pens that I think I will use for the piece. I check the nibs, and then I begin inking. I put on dramas in the background to listen to, or things I've seen a ridiculous number of times. West Wing and Parks and Recreation are two such shows.
I don't like to start inking unless I am going to finish a drawing that night. Sometimes, a piece is too large, and I have to break it up over two nights. If that happens, I make sure the pens I've used on the previous night are away from all my other pens. I do this to achieve a consistency within the lines. Once finished, I scan the piece, put it within a predetermined frame, and pack it up for a craft fair or deliver it if it's for an art show. Rinse and repeat as necessary.

How do you get over creative block?
I used to stop drawing and just stew for a bit until it finally passed, which could take a bit of time. As I've gotten older, and ever so slightly more confident in my abilities, I push through it. I just keep drawing. Yes, sometimes the drawings are awful, but as Lauren (my future wife) always says, "sometimes you just have to pass a rat."
How do you see the world in 2078?
A lazy utopia, filled with autonomous everything. Humanity will have moved past Earth and outward into the stars while robots cater to our every whim and we become fat and happy. I could be confusing my vision of the world in 2078 with the timeline in Wall-E—who doesn't yearn for the saccharine dreams of Pixar in 2017. It is tough to image the future right now because at this moment it feels as though we are hanging by a loose wire, and any minute now someone with a spray tan is going to cut the wire and tell us all how huge his ratings are, as we all fall to our collective doom. I hope we make it to 2078, if only so that I can enjoy my hover chair and 128-ounce Slurpee.

What’s number one on your bucket list?
I should say something epic like bungee jumping off of Thomas Jefferson's nose on Mount Rushmore, but honestly, I'd like to have my own artist's studio. Some place I could retreat to and tune out the world and draw silly pictures. That to me is something I want to do before I fade out of this existence.
Who are you creative crushin’ on lately?
I've had a one-sided love affair with Dustin Harbin for a long time. I own two of his original pieces and his diary comics book. The man can use an ink nib like Aaron Sorkin can turn a phrase.

I’ve been creative crushing on Austin Salmi since I saw his doodles, patterns, and adorable characters on Instagram almost two years ago. Austin’s work, learned through practice and osmosis in his job surrounded by artists, has a giggly character about it that fits his intention to hide the ugliness of the world for a moment, and make lovely order out of chaos. I got to learn a bit more about him and his process in this installment of Creative Crushes.


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


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


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


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