Have you ever had that gnawing feeling, just as you’re sitting down to your computer at work, that you’ve left the central heating on at home? You’re not alone. Rising concern about wasted energy and the financial cost of unregulated thermostats, as well as the convenience of a connected and cozy home, all point to the rise of the smart thermostat. Berg Insights projects it’ll grow 64.7 percent over the next five years.

Founded in Munich in 2011, tado° is Europe’s biggest maker of smart thermostats and air-conditioning controls. Looking to grow, tado° approached IDEO, a longtime collaborator, with a late-stage prototype for a new, wall-mounted gadget to connect any air-conditioning unit to the web so it could be controlled remotely through a smartphone app.

Dubbed tado° Cooling, the device recognizes when people leave their house and heats or cools the house upon their return. The brand tasked IDEO with a three-fold goal: gauge interest in the device, raise brand awareness, and work out product/market fit.

After stakeholder interviews, research, and prototyping, IDEO supported tado°’s team in refreshing the industrial design of the hardware and creating a distinctive yet unified user-interface language for the brand’s existing and future products.

To work out what potential customers thought of tado° Cooling, tado° turned to a novel research medium: Kickstarter. Its ultimate goal? Knowing whether people would part with their money for one. The IDEO team provided an overarching crowdfunding strategy, including funding goals, giving tiers, and marketing, and shot the brand’s Kickstarter campaign video.

As a result, the campaign burst through its $150,000 funding goal to $200,000, and scored coverage in a raft of tech media outlets including TechCrunch, GigaOm, TheNextWeb, Engadget, and PC Magazine. After hitting its “stretch goal,” tado° is adding non-A/C device controls, a Windows Phone app, and IFTTT and Jawbone Up integration.

In addition to media coverage, and showing the public’s appetite for the device, the Kickstarter community’s conversation unearthed further user insights that fed into product development, according to tado° head of design, Jens Pohl.

Buoyed by that success, tado° enlisted IDEO to translate user insights and a big-picture overview of the connected home sector into new services to enhance the device’s UX, and introduced new business models to strengthen its European brand strategy. Early visual concepts, learnings, and evidence from this exploration supported the brand’s investor pitch, securing a further round of $15 million venture capital.

Dr. Reddy’s, a 36-year-old global pharmaceutical company headquartered in India, was growing at a rapid pace. Over the years, the company’s main focus had been on producing affordable generic medication. But with more than 24,000 employees and seven distinct business units operating in 100 countries, there was an urgent need to identify a core, unifying purpose—one that would articulate a set of shared values and align leaders on key business decisions and goals.

G.V. Prasad, the company’s Co-Chairman and Managing Director, knew that the vision had to be simple and elegant–an emotional drive that every employee across the company could relate to and act upon.

Prasad partnered with IDEO to distill the focus that would align the company. Over the course of several months, Dr. Reddy’s team worked with IDEO to learn about the needs of everyone, from shop floor workers to scientists, external partners and investors. Together, they defined and distilled the essence of the company, paring it down to four simple words that center on the patient: Good health can’t wait.

The simplicity of these words belie their power. According to Prasad, the newly articulated purpose has resonated across the company, changing the whole culture of the organization. The idea of infusing a sense of urgency and nimbleness to their systems as a means of serving their customers has had a direct application in almost every corner of the business. Employees connect the message to their own experience, and each of the different business units are now moving towards a common goal.

A Shift Inside

“Good health can’t wait” has become a powerful recruitment tool and employee rallying cry. It makes clear that the company is in the business of serving patients, not just creating products, no matter how innovative or affordable. This has given a new sense of meaning to all personnel, from frontline sales representatives to senior leaders to scientists. Many key decision-makers, including new CEO Erez Israeli, share that the purpose statement inspired them to join the company.

Articulating Dr. Reddy’s purpose has empowered these employees to take risks, experiment, and work together. For example, the marketing department has refocused its efforts on finding solutions that improve patients’ consistent use of their medications. And motivated by the idea that patients can no longer wait for a cure, employees from different disciplines are coming together to find inventive ways of bringing new products to market in record time.

“The website medznat.ru required immense collaboration between various teams—medical, information technology, marketing, and analytics,” says Mvsma Raja, Head of Strategy and Marketing for Emerging Markets. “This served as a platform to bring the latest happenings in the area of pain management to doctors in Russia, who we learned are looking for the latest medical updates on the go.” Building on this cross-functional collaboration and momentum, Dr. Reddy’s established an internal design studio dedicated to using consumer insights and rapid prototyping to drive innovation.

New Offerings

“Our brand belief has inspired how we’ve thought about our future growth,” says CEO Erez Israeli. The new purpose unlocked a series of initiatives, including the aforementioned website for Russian physicians and innovative pill packaging that helps patients better understand their instructions.

Purple Pack is a new type of pill package that ensures that vital information like the expiration date is not torn off and thrown away. Born out of Dr. Reddy’s in-house design studio, Purple Pack allows the pharmacist or patient to mark their daily dosage and reminders on the packaging itself, as paper prescriptions are often misplaced.

A Business Boost

“Good health can’t wait” has not only attracted and unified talent and inspired new offerings, it’s boosted both sales and profit. For example, Dr. Reddy’s generic oral diabetes medication, Metsmall, has become the fourth largest brand in India based on the number of pills sold. The medication is distinct from competitors’ versions in that the pill is smaller and easier to swallow—a clear embodiment of product development oriented around the patient. With its signature Purple Pack convenience packaging, the medication has been one of the fast-growing Indian pharmaceutical brands over the last two years.

Looking ahead, both Prasad and Israeli hope to continue building a purpose-led culture that influences the business from the inside out, inspiring employees to be empathetic and responsive and realizing its mission to deliver good health to all.

In 2006, the MacArthur Foundation made what became a big bet about the future of education, shifting its attention away from the traditional school-based model of reform toward a more youth-centered approach.

By 2014, the bet was starting to pay off, but for it to really succeed, it needed an innovative path to scale and an entrepreneurial approach to sustainability. That’s when MacArthur came to IDEO for help in designing a new organization.

Together, IDEO and MacArthur set out to transform the foundation’s efforts into a self-sustaining enterprise that could balance the social responsibilities of a nonprofit with the lasting viability of a business—an opportunity that was as much about designing a new infrastructure as it was about creating a new culture.

Using a novel prototyping process, IDEO created three illustrated scenarios to tell different versions of LRNG’s possible future, each with an alternative portraiture of its purpose, vision, operating structure, product portfolio, and business model. Through a playful, modular storytelling structure, the stakeholders considered the potential trade-offs of the different approaches and how to prioritize their organizational goals with clear definitions of success.

These different future-forward scenarios helped funders and partners grasp a radical organizational vision, as well as a clear operational model that was go-to-market-ready.

In October 2015, the MacArthur Foundation launched Collective Shift, the organization behind LRNG, with $25 million in seed funding and 30 partners, including Arizona State University, Gap Foundation, the Boys & Girls Clubs, Electronic Arts, and musical artist John Legend.

Based on the scenarios created by IDEO, LRNG is dedicated to creating a “learning as a lifestyle” movement that will transform the learning landscape and close the equity and opportunity gap for young people.

Hundreds of millions of people, from excitable teens driving their first hatchback, to new parents going in for a minivan, have driven Fords off lots around the world since the first Ford Model A was produced in 1903. And cars have changed how we shop, travel, and work; they’ve reshaped our homes, towns, and the world’s infrastructure.

Today, Ford, along with the entire industry, is at an inflection point. As millions around the world move into gridlocked, polluted cities, the allure of owning a shiny new car has dulled. In some places, young people are driving less, and getting their licenses later or not at all. Lightening their load, city dwellers are relying on ride-sharing services and other alternatives to individual ownership.

Technology underpins that shift from ownership to usership. Smartphones, sensors, and open data have enabled new ways of getting from point A to B: from car-sharing services like Zipcar to taxi services like Uber or clever transport apps like Citymapper that help people skip effortlessly between the bus, a shared bike scheme, and renting a car.

While the owner of the very first commercially available Model A—Chicagoan dentist, Ernest Pfennig—couldn’t see more than a century ago how cars would change the world, Ford is squinting into its future by prototyping it now. Building on a longstanding relationship with IDEO, the carmaker approached us, along with a number of other partners, to undertake two of 25 experiments exploring a car company’s place in the changing world of mobility.

The first, Data-Driven Insurance, investigates a new pay-as-you-go insurance offer based on people’s driving behavior, as measured by a small adapter plugged into the car. The second, Infocycle, plots a snapshot of how bikes traverse the city and interact with cars and public transport by using Ford’s open source API, Open XC, to track cyclists around San Francisco.

Tackling the tangled ecosystems of bike sharing, private cars, and open city data proved an international effort. The two projects brought together a multidisciplinary team of researchers, hardware and software developers, data scientists, and interaction, industrial, and business designers from IDEO’s San Francisco, Palo Alto, Chicago, and London studios.

Have we cracked the future of mobility? Probably not. And that’s okay, says Fields. Smart mobility is simply part of Ford’s journey of evolution. Along with global competitions, collaborations with universities, and opening up their hardware and software platform Open XC, these experiments help Ford meet the needs of a fast-changing mobile world. “As we drive innovation in every part of our business,” Fields said, “we are determined to learn, to take risks, to challenge custom and question tradition, and to change our business going forward.”

More information on Ford’s Smart Mobility projects can be found here.

The toymaker came to us to figure out how to make the device safe and fun. We started thinking not just in terms of physical usability (though designing for tiny hands and making sure products can survive a drop on the ground is our bread and butter), but also about how we encourage healthy engagement patterns.

A lot of VR headsets are designed to be super sticky—so engaging that users don’t want to take them off. But when we design for kids, we spend a lot of time thinking about how we can create healthy interactions. We wanted the design of the View-Master to help children intuit when it was time to put the toy down. So, we decided not to include a head strap—or any other means of attaching the headset to little bodies. When kids felt their arms get tired or their eyes start to cross, they would know it was time to take a break.

Over the past four decades, the IDEO Play Lab has designed and licensed more than 250 toys and games, from classics like the Barbie Camper to the first set of Sesame Workshop smartphone apps for kids.

With every product, we think about how to design fun and engaging experiences that delight parents, entertain kids, and lead to success for our partners. But we also put a lot of thought into making design decisions that support healthy habits, and help kids—and their families—thrive. 

Here are a few examples of how we’ve navigated those design choices.

Designing for movement: Dusty Wing Control

Most of us have learned to use a joystick or a set of arrows to drive a remote-controlled toy or move a character around a screen. But when we set out to help bring the character “Dusty” from the popular Disney movie Planes to life in an action-oriented vehicle toy, we took a step back to rethink how littler kids would engage with it.

As we tested designs, we saw that small children not only struggled with small buttons and the spatial skills necessary to operate the typical remote control joystick, but also that there was no fun in sitting still and tapping buttons. Instead, during our design research sessions, kids pretended to be the characters: They went full airplane mode, hands stretched out, zooming around the living room, dodging furniture. 

Taking a cue from their play patterns, we put Dusty’s remote control mechanism in toy wing tips that fit on little hands, enabling them to interact in a way that is not only more fun, but also instinctive, better mirroring how they naturally play. Players drive Dusty forward by pressing and holding a controller button, enabling his propellers to spin. When they bank left and right, Dusty matches their every move. Dusty even calls out flying commands that they can perform together.  The toy is not just easy for them to operate; it also gets them off the couch and moving, playing the main character in their own stories.

Designing for confidence: Pictionary Air

When we set out to re-invent the classic drawing game for the digital age, we had to figure out how to bring the core interaction to life in a new way. During ethnographic research, we noticed that when players were under pressure, they would often stare at their drawings looking embarrassed, and hesitate to keep drawing. To get people out of their heads and back in the game, we designed a new interaction that keeps participants looking up and laughing with each other. We combined a light pen and a smart device’s camera to allow picturists to create life-size illustrations in the air in front of them, an early foray into AR for classic games. For another layer of fun—and another option for those with less confidence in their drawing skills—players could interact with their sketches to provide more clues, much like in charades. We also decided to make drawings disappear quickly after each round was finished, to lower the stakes for self-conscious players.

Designing for all ages: Twister Air

In classic Twister, the fun hits when players are frozen in contortionist poses, hovering and balancing over each other. Our challenge from Hasbro: What does Twister look like in the TikTok era? And how do we make it fun for everyone? As we tested out potential interactions, we observed that for younger kids and older adults (basically everyone but the teenagers), the choreography on most popular dances was a bit much to learn or to even attempt. While kids found it hilarious when parents messed up (you’ll see lots of dance flops posted online!), we also wanted to find a way to create a sense of achievement for all ages. We started looking for the sweet spot between silly fun and accessibility, stretching players just enough to make them feel challenged, but not too overwhelmed to keep trying. In our prototypes, we preserved the classic Twister interaction while building in opportunities for rockstar moments where players can flop or shine. The footage made for viral family group chat nuggets, helping everyone feel part of the fun.

Designing for development: Little People Klip Klops

Preschoolers love the action of cars zipping down racetracks. But typical matchbox cars move too quickly for their little hands and slow reaction times.  When we set out to create a similar action-oriented—but also character-driven—toy for Little People, we needed to figure out how to slow down the experience, without sacrificing the action. Through several rounds of prototyping, we built out Klip Klops, leveraging a very simple mechanism that allowed princesses on ponies to teeter back and forth down a ridged downward track. By centering  the “clip clop” sounds of the hooves and building out a multi-story castle setting where the princesses and their steeds would live, we created opportunities for kids to enjoy the intentionality of the movement and built in the space for layered storytelling, allowing little kids to practice multiple development skills at once.

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Navigating your own toy design journey, or trying to get your team at work to stretch its imagination? Get in touch at helloplaylab@ideo.com. We’d love to collaborate.

Almost a decade ago, when we were all exploring VR of the early aughts, Mattel set out to redesign its classic View-Master as an affordable VR headset for a new generation of kids.

Wagashi is a traditional Japanese dessert considered to embody a microcosm of time, space, and nature, typically made of agar, water, and sugar. In this coffee shop, each dessert features a main ingredient—berries, citrus, chocolate—that determines its primary flavor, with an added twist: the addition of a layer of coffee, which corresponds to the carbon footprint associated with producing this main ingredient. The higher the carbon footprint, the higher the level of coffee in the dessert, and the more bitter it tastes. You can see and taste it.

Making Data Feel Real

This is the concept behind DataWagashi, the design-tech project I collaborated on with Boston-based design technologist Iyang Huang. DataWagashi invites people to experience the future of data communication by bringing climate data to life through all the senses. We go beyond traditional visuals by incorporating taste, smell, texture, and physical interaction, expanding the vocabulary for how we understand and interact with data. With DataWagashi, data transforms from numbers on a screen to a vivd and engaging multisensory journey.

Fighting Data Fatigue

In today's world, the constant doom and gloom surrounding climate change can make it feel overwhelming and disconnected from our daily lives. The complexity of climate data, which is often presented through numbers, charts, and preaching, only adds to this detachment, making the information hard to relate to our senses and emotions. We wanted to find a new, better way to raise awareness about these important issues, and make data communication more intuitive, enjoyable, and fun. So we turned to food, a universally-loved and relatable medium, to make complex environmental data more accessible, foster empathy, and empower people to make better choices. But food is just one of many creative media we can use to overcome data fatigue and craft engaging data stories through design.

One way we can think about changing how we present information is by transforming text-based information into something capable of carrying multimodal information—like edible objects, but also, sounds, lights, responsive wearables, and much more. Instead of just making a deck that tells people there has been a 20-degree sea water temperature increase, why not design a way for people to directly feel the difference? Imagine experiencing wildfires not through statistics, but by tasting the severity of raging flames through a range of spicy dishes, hearing the before and after of dwindling forest chorus, and touching the roughness of the scorched grass. By physicalizing data, we translate numbers back into experiences that can be seen, touched, and felt, connecting more deeply with the real world.

Introducing the Phygital Experience

The integration of Generative AI into storytelling introduces a new blend across digital and physical platforms, enabling us to transform large-scale datasets into tangible Wagashi forms. Setting up a few lines of mapping rules allows the data—whether static, real-time, or customized by user input—to dynamically manifest across multiple formats such as graphics, text, sound, and food, bridging the gap between digital information and physical entities. These entities could be data-driven recipes, playlists that shift with real-time data trends, algorithmically-woven textiles, ambience gadgets that adapt to environmental changes, and vending machines that dispense data-inspired poems on bamboo paper, making abstract data interactively tangible. 

This approach opens up various real-world use cases and applications in everyday lives, from creating customized dessert recipes and generating climate sonatas to sending personalized gift packages.

The importance of data empathy

DataWagashi is also about democratizing data. By turning data into physical, sensory experiences, we can break down information barriers, ensuring that people with varying data literacy levels can grasp the complex concepts and join in on conversations about climate change and environmental impact. This redesign of data presentation fosters understanding among diverse groups across ages, cultures, and professional training, creating a fair environment for dialogue and learning, and making the intricate world of data an experience open to all.

Soon, you might walk into your favorite cafe and order desserts not by ingredients, but by picking up a menu called "Biodiversity Forecast in 60 years," and choosing from "Rainforest," "Desert," or "Ocean." Maybe you’ll have a weekly smoothie subscription that alters its formula based on a synthesis of the average air quality (climate data) and how active you are (personal health tracking data). The next day, a box of unique foods arrives, driven by your data choices, offering delightful surprises. This not only gives you a tasty treat but also connects you to a bigger data story, inspiring awareness and action.

Heading to SXSW 2024? Meet up with us at DataWagashi: Feeling Climate Data through New Design Medium, and learn more about how we can make the data tangible in the most flavorful way for a better climate future.

Picture this: You walk into your favorite coffee shop, check out the desserts, and choose which one to order based on its carbon footprint—just by looking at the confection itself.

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We interviewed dozens of leaders of innovation, design, and new product teams at multibillion-dollar companies in search of clues as to where the trouble starts: When funding was cut?  When teams were reassigned? When groups were dissolved? 

Our research uncovered five reasons that innovation portfolios fail—and tips for making sure it doesn’t happen at your company.

#1 The black hole of undefined strategy

In work we did with a Fortune 500 shipping company several years ago, executives decided that the company needed a global innovation team. They committed millions of dollars, hired a startup leader, and assigned 25 people to the team. The startup founder built them a venture based on a new technology that tracks packages. In its first year, that innovation alone made the shipping company tens of millions of dollars.

But when review time came around, executives told the leader they were dissatisfied. Why hadn’t this team done anything to evolve the company’s core offerings? Why had they broken rules inside the company? They fired the leader, even though the higher-ups hadn’t articulated to the team—or to each other—what successful innovation looked like. 

Often, this misdirect starts with undefined strategy at the top. Innovation strategy requires a different type of conversation: less focused on big-picture goals; more focused on strategic planning, like how to invest and pursue goals over the next year. It starts with this question: What are the outcomes we want from this work?

#2 The peril of orphaned innovations

All too often, a company creates an innovation team, but doesn’t connect it with the company’s core business. That can create an innovation orphanage: ideas developed in isolation that lack the necessary resources and support to be successful. 

We witnessed this on a project with a large automotive company. It had recently acquired a startup that offered private work shuttles.  They brought IDEO in to lead an innovation lab around new product possibilities. Together, we built a new venture: a commute benefit that the company could sell to employers to better leverage the startup’s fleet of private work shuttles. But after six months of generating revenue and trying to sell it to the broader startup, it still wasn’t in their pipeline.

The problem was misaligned incentives: The CEO of the automotive company had tasked the innovation to a standalone team, without bringing in the decision makers at the startup. When there’s no ownership or investment from the departments that the innovation is meant to serve, great ideas go nowhere. Instead, leaders need to create a process for identifying and nurturing promising innovations, and define who owns the outcomes and makes implementation decisions before the innovation even begins. 

#3 The risk of the wrong talent

By definition, innovation requires new approaches. It often requires new talent, too. Think of the classic example of IBM, often taught by professors Charles O’Reilly and Michael Tushman in their work on ambidextrous organizations. Throughout the 1980s and 1990s, the technology giant would invest in new innovation efforts, like the personal computer, but the company was never able to commercialize or scale the product. IBM’s business leaders didn’t have an entrepreneurial mindset—the company needed talent who had experience taking big swings.

We recently saw this play out at a food manufacturing company. They wanted to try an agile approach to developing new products and tasked a team of operators from the core business to make it happen. The team developed a new breakfast product, which tested well with consumers. But they didn’t feel confident enough to advance to piloting it without further data. Why? The internal team had never launched a new product from scratch, and they were terrified of screwing up. 

To avoid the talent trap, it helps to think about three different roles in a workplace: explorers, scalers, and optimizers (with credit to Bud Caddell and Simon Wardley). Optimizers make up about 90 percent of employees; they drive growth and improve operations across the core of an established business. Explorers work in departments like R&D and product development, and are good at spotting new opportunities and developing ideas. Scalers iterate on ideas until they find the right product-market fit. All three roles are essential, but shine at different parts of the innovation process. Explorers work best within innovation teams, until they can pass off an idea to scalers for development; scalers can then institute new processes and tools for optimizers to use within the workplace. 

#4 The troubles of a bad handoff 

When company leaders get excited about an innovation, it can be tempting to go for an ad hoc implementation, rather than moving through clear internal steps. But the wrong handoff can lead to inconsistencies and inefficiencies. The baton gets dropped. That’s why it’s necessary to design a clear innovation process for how to generate, evaluate, and implement ideas. Here’s a guide to the handoff models we see most often—and when to use them:

‍The Owner’s Manual: After months (sometimes years!) of work, an innovation team hands extensive documentation over to a new team, which is meant to execute their vision. But be honest: When is the last time you actually read an owner’s manual cover-to-cover? Exactly. This model can work if the innovation doesn’t need to be directly developed by others (insights from a research group, for example), but it doesn’t work well for a new product, where it can turn into a knowledge dropoff.

The Architect: The future owner of the work embeds with the innovation team. That way, they can share the insights from the development process with the new team. This model works well for industries like consumer packaged goods, where a brand manager is responsible for product development from beginning to end.

The Ambassadors: Members from each stage of the innovation embed throughout the project, ensuring that no learning is lost and each phase of work feeds smoothly into the next. This model also builds an awareness of what downstream teams most need.

The Hive: Each project functions as a microcosm of the business, where multidisciplinary teams tackle a challenge from beginning to end. This is common in accelerators and incubators, since they often set up new organizations as microcosms of a parent company, made up of people from every major function.

#5 The danger of short-term metrics

In our experience, innovation teams often have a three-year lifespan. During the first year, everyone is excited, encouraging the innovation team to swing big. By the second year, company leaders are asking, what are your results so far? By the third year, a lot of the top executives have changed seats, and the new leadership doesn’t see a meaningful effect on their core business, so they decide to shut it down.

It’s a short-sighted move: This kind of work often takes years to show impact on metrics like revenue, loyalty, or customer satisfaction. The labs can still show value in the short-term, though, by demonstrating how the work drives efficiency or changes behavior.

This brings us back to the head of innovation at the shipping company, the one who created a startup that netted millions, but got fired because the team hadn’t evolved the company’s core offerings. To avoid this trap, companies need to establish clear metrics to assess progress over time—the number of prototypes a team develops, experiments they run, employee retention or external reputation. Otherwise, you’re cutting down the tree you planted three years ago, before it even had a chance to bear fruit.

Falling into an innovation trap of your own? We’d love to chat with you about it.

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(Images created with Midjourney)

A few years ago, we led a project to investigate a question: Where does innovation go wrong?

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At a time when everyone was concerned about kids using AI to cheat, they wanted to discover how it could enhance learning and teaching for the better.

While we immersed ourselves in the traditional design process—sketching, interacting with students and teachers, and finding inspiration out in the world—it became clear that understanding the AI that underpinned the product was critical to our success. So we dove into using the underlying technology ourselves.

The data scientist on our team started by constructing a simplified Python version of one of Ethiqly's significant features—structured feedback for teachers to share with students—allowing it to interface with a language learning model (LLM). Then, with the help of software designers, we rebuilt and evolved this proof-of-concept prototype to be a real, usable, multi-featured demo of two of the core interaction loops, so that we could test it in research sessions with students and teachers. 

The demo became an invaluable tool to uncover student and teacher feedback, to test the look and feel of a new product, and to glean the real capabilities of the underlying technology. In creating the demo, we realized the importance of being able to prototype generative AI products as quickly and as collaboratively as possible.

At IDEO, we believe in augmented intelligence—that it’s possible to bring more delight, ease, creativity, and impact to human work through technology, including AI. To do this responsibly, it’s important to bring a multiplicity of perspectives to the design of these tools. By building a lightweight system that allows designers without technical backgrounds to prototype with LLMs, we could bring more voices, eyes, and hands into the AI-driven product design process. We also shortened our time to first prototype from weeks to days. 

ChatGPT: A Tool, Not Just a Trend

Using ChatGPT’s interface can be powerful on its own, but what’s not as well known is that the systems behind it can smooth the process for product development. But for casual users of ChatGPT’s browser or app-based interface, there’s little opportunity to learn about how it works on the back end. It also comes with privacy concerns. It’s clear that more and more of our clients need us to understand firsthand what creating LLM-enabled products feels like, and it’s equally clear that we need to explore how LLMs can push the edges of our own creative process.

So, I designed a simple prototyping interface that shows a little more of the guts behind the chatbox. The goal? To help IDEOers better understand how LLMs, and OpenAI’s APIs in particular, work behind the scenes, building their intuition about what the current spate of AI tools are good at, and what they’re not.  

The prototyper interface also adds convenient features like saving a  conversation state—allowing designers to download and share their conversation history and rewind to earlier states to try out new content—to encourage the development and sharing of useful and delightful patterns. I named the tool GPT Prototyper.

Teaching Through Prototyping

While using GPT Prototyper’s interface doesn’t involve any coding, it does show its users more about the parts and pieces that can be configured to refine and expand OpenAI’s conversational abilities, from the system note (background information that shapes the LLM’s responses), to the temperature (the sampling scheme that controls the randomness of the responses), and even accessing an external service through function calls (commands the LLM can send that connect it to abilities beyond text prediction).

We’ve created comprehensive video tutorials, interactive Q&A sessions, and embedded usage hints within the Prototyper to make these capabilities more understandable to everyone at IDEO. Every designer, irrespective of their technical proficiency, can now contribute to the evolution of intelligence platforms, thereby ushering in a new era of digital product behavior.

If it sounds theoretical—it’s not. We’ve used customized versions of the Prototyper to demonstrate how LLMs can work within product and service concepts for work in industries ranging from finance to consumer goods. 

Since its debut last June, the prototyper has also helped us explore more future-facing ideas, like when we gave a pair of vintage Levi’s jeans a personality and history, letting prospective customers learn about how the jeans were made and where they were worn through conversation. We’ve also used it in service of our ongoing research into Gen Z’s relationship to GenAI.

Having the GPT Prototyper means that teams no longer have to wonder if an interaction is possible–they simply build it and give it a try. 

A Glimpse into Tomorrow

Pushing beyond simple productivity gains and into innovation and creativity requires understanding—at least to some degree—of how LLMs work. Tools like the GPT Prototyper are bringing intentionality and speed to our explorations, helping our clients push farther and faster into new possibilities for growth. The tool is also making it possible for us to explore client work without sharing confidential information with unvetted tools—something both we and our clients care deeply about.

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Want to learn more about creating a tool for your organization? Get in touch.

Last spring, my team and I partnered with Ethiqly, an education startup looking to explore how AI might help students learn how to be better writers.

I help organizations cut through complexity by shaping how they show up, through brand strategy, identity, and storytelling.

Working at the intersection of brand and business, I bring an editorial eye and a bias toward making—turning ideas into tangible experiences that people can understand, trust, and believe in.

My work spans government, healthcare, financial services, media, and consumer goods, from launching Gen Z-focused ventures to building innovation labs and reimagining legacy brands. I relish moments of ambiguity and enjoy translating across teams, perspectives, and priorities to move ideas forward.

I started my career in editorial and digital design, shaping cross-platform experiences and identity systems in publishing and agency environments. That foundation still shapes how I work today: I’m detail-oriented, collaborative, and overreliant on the Oxford comma. I hold a BFA in Visual Communication from the School of the Art Institute of Chicago.

For 25 years, I've asked the same question: Who does this design exclude—and what are we going to do about it?

My work spans human-centered strategy, inclusive design, and qualitative research, with clients ranging from Microsoft, Google, and Verizon to the National Science Foundation, and San Francisco Unified School District.

Before IDEO, I taught elementary school in East Palo Alto and spent a decade doing design work with social service organizations—where I learned firsthand what it costs people when systems are built without them in mind.

I am currently writing User Error, a nonfiction book about digital access and the design decisions behind it. I live in Oakland, California.

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My expertise spans brand, communication, and product design across tech, education, the arts, and social impact.

I believe great work demands both high-level vision and obsessive attention to detail, and only happens through collaboration.

I bring an inclusive, hands-on approach and a deep understanding of business, which enables me to consistently deliver excellence while always asking why.

Before joining IDEO, I worked at the brand firms Pentagram and VSA Partners. I began my career as a designer, leading teams at the School of the Art Institute of Chicago and the Milwaukee Art Museum. I hold an MFA in graphic design from Maryland Institute College of Art and a BFA in communication design from the Milwaukee Institute of Art & Design, and have taught at some of the best design schools in the US.

I am responsible for IDEO’s long-term success in China and working with clients to use design as a tool to enable growth. Specifically, I have helped Chinese companies design holistic brand solutions through the development of their products, communication, services, and innovation teams, and I have helped multinationals expand their presence and influence in China.

I advise global leaders on developing China-led innovation and capabilities.

In over 15 years in IDEO Shanghai, I have worked on projects that use design to elevate the quality of the experience of healthcare products and services, streamline processes that increase productivity, create spaces and programs that promote and enable inclusive communities, and build next generation mobility solutions that are planet-positive.

Before joining IDEO, I worked at Philips Electronics and the Electrolux Group in Italy, the Netherlands, and Singapore on a number of breakthrough commercial products. I am a member of the Young President Organization in Shanghai.