As a small, young nation, Singapore has come a long way in a short time. Its cost-conscious education system enables social mobility, its public healthcare system is a model of success, and it has achieved financial independence. What’s more, 80 percent of its citizens reside in Singapore’s desirable and attainable public housing complexes.

But even with these successes, Singapore wanted to improve upon its existing systems. In 2008, government agencies came to IDEO to help connect the intention behind their policies with how their services were delivered to the public. To bridge the gap, IDEO Singapore partnered with five government agencies on more than 12 projects.

A few highlights:

Singapore’s Ministry of Health
The Ministry subsidizes up to 80 percent of healthcare costs. Understanding their financial options may, at times, be difficult for patients, especially in situations where they’re grappling with stressful medical conditions. Although the government has reassured Singaporeans that no one will be denied medical treatment even if they can’t pay, public sentiment that healthcare in Singapore is increasingly unaffordable still pervades.

So the Ministry worked with IDEO to give patients financial peace of mind at a time when their well-being is of utmost importance, and to improve their healthcare experience overall. Inspired by doctors’ ability to talk about patients’ diagnoses across a range of potential outcomes, IDEO designed a more patient-centric care cost discussion guide, and developed a new digital tool designed to help patients better understand and predict healthcare costs. The care cost discussion guide is currently being prototyped in two hospitals.

IDEO’s work with the Ministry of Health (MOH) extends to the communication strategy for a newly introduced government-sponsored insurance policy, MediShield Life. MOH recognized that government communications needed to incorporate important nuances to engage citizens around the new policies and benefits. Together with MOH, IDEO developed ideas for a citizen engagement strategy that brought to life a journey that includes how Singaporeans learn about a policy, sign up, and understand benefits and subsidies.

The Ministry of Manpower
One of the Ministry’s roles is to process work passes for foreigners, who make up 30 percent of the nation’s workforce. The Ministry was known for its speed and efficiency, but not its customer service. IDEO partnered with the Ministry’s Work Pass Division to design all of the touchpoints around acquiring a new work pass—from the letters applicants receive to the website, physical space, and the interactions that occur there.

In addition, IDEO embarked on a series of projects with the Ministry of Manpower (MOM) aimed at streamlining and simplifying its communications. Together, they addressed the question, “How do we create communications that are easily understood and better engage MOM’s customers?” Starting with the most common letters sent out by MOM’s Work Pass Division, they defined a more customer-oriented tone of voice and visual style. To scale up the new approach, IDEO trained many MOM officers to write with the customer’s perspective in mind.

The National Population and Talent Division
The agency asked IDEO to better understand the underlying reasons for Singapore’s all-time-low birthrate and design ways to encourage Singaporeans to have more children.

The Ministry of National Development
More than 80 percent of Singapore’s citizens live in public housing. The Ministry asked IDEO to bring to life Singaporeans’ notion of home and identify ways to keep their aspirations at the center of their work.

Building creative confidence across Singapore’s public sector will be an ongoing journey, but the country is actively building the tools it needs to maintain its citizen-centered approach in an increasingly complex world.

After losing both legs below the knee and half of one arm in an accident, Dr. BJ Miller knows what it feels like to be near death. But after recovering, Miller became a doctor, joined the faculty of UCSF, and is now leading a conversation about patient-centered care and redesigning the experience of how we die. But such systemic change will require pioneering thinking, as our healthcare system, designed to cure, not caretake for the long term, prepares for an exploding elderly and chronically ill population.

Together with IDEO, Dr. Miller and Zen Hospice Project are bringing design to a broken system in hopes of helping people live fully right up until the end. Miller was invited to TED in March, 2015 to deliver the closing talk. In concert, IDEO designed a landing page and call to action to support Zen Hospice Project’s mission, flagging the campaign with the hashtag #designabetterending.

Early renderings for a new palliative care facility that would enliven end-of-life care with rich, engaging experiences are also in the works. Read more about the collaboration in California Sunday Magazine and join the movement to help us design a better ending.

Stephanie is a college student. She runs a successful beauty blog and shares new finds with her 20,000 followers. Jennifer is married and lives in Chicago. She considers fashion to be an expression of her identity. How do we know all of this about Stephanie and Jennifer? They’re both eBay shoppers the IDEO team met while designing a better way for the retail giant to get to know their customers.

It’s easy to forget that behind data cells exist flesh-and-blood people. eBay has 128 million buyers and sellers, and wanted to find meaningful stories about real people in order to uncover their wants, needs, and behaviors.

The company partnered with IDEO to create a digital ecosystem that integrates Big Data, business opportunities, and customer stories drawn from IDEO interviews to give employees deeper insight into how and why people use the site.

The app, which launched in September 2012, is available on desktop and mobile devices to eBay employees worldwide. It’s an easily accessible resource for eBay employees where they can glean insights about their customers by learning about key customer types. The app brings customer needs to life using words, images, and video interviews from select research participants. The power of that experience prompted eBay to overhaul its website, too, giving it a fresh, human-centered appeal.

Many younger customers described venerable fashion retailer Belk as “their grandmother’s store.” Belk, with 300 stores in 16 Southern states, was looking for ways to stay competitive and woo these style-savvy millennials. The goal was to create a trendy, social, affordable, and distinctly Southern shopping experience.

Belk’s innovation team and IDEO conducted research with twenty-somethings to develop the look, feel, merchandising strategy, and service experience of a new offshoot brand. Fresh and modern, Belk’s new pop-up store Belle & Ty features contemporary fashion along with a real-time Instagram wall, a style lounge, personal stylists, and weekly trunk shows. The pop-up store also serves as a learning lab for Belk, a place to prototype offerings for a new generation. Local fashion bloggers called the store “a must-stop shop during Christmas,” and Sue Curley, VP of Innovation at Belk, said, “Belle & Ty has been a great learning lab for us to connect with an important customer segment, test new ideas, learn, adjust, and test again.”

This initiative, aimed at exploring what the next 10-15 years might bring, allowed me to leverage the full spectrum of a futurist's tools as well as those of an organizational designer—simultaneously exploring their design question while teaching and integrating foresight capabilities.

Being a futurist means spotting signals that may only be whispers today, but could become profound shifts tomorrow—shifts that companies will have to be prepared to navigate. When playing this role we use a mix of facilitative, creative, and analytical tools that not only identify emerging patterns, but also embed foresight into the organization itself, helping shape the culture to be more forward-facing. Our techniques range from examining historical patterns to scanning for signals of change to telling stories of multiple plausible futures—each designed to bring clarity to a complex environment and make emerging opportunities actionable for an organization as a whole.

What do those tools include?

Hunting for signals in the noise

Identifying and tracking signals of change is the primary activity of any foresight work. It’s focused on spotting glimpses of the future that exist in the world today. A signal might be a new idea, behavior, technology, social context, or business model that may seem insignificant now, but could redefine industries or the world at large if it scales. Recent examples I uncovered for clients include everything from the resurgence of “dumb” phones to the emergence of four-day work weeks to big tech’s greenhouse gas emissions surges fueled by the expansion of AI. Grasping these subtle shifts enables teams to broaden their perspectives and think beyond what’s currently happening.

Mapping drivers of change

Tracking and mapping broader trends and underlying drivers of change — like the climate crisis or the rapid rise of LLMs —gives further context to signals and reveals potential structural shifts influencing social, technical, environmental, economic and political systems—ultimately shaping how organizations adapt, innovate, and respond to emerging opportunities and risks in the future. Understanding the why behind these changes allows teams to build flexible strategies grounded in deep awareness of external forces.

Considering different futures

Imagining a range of possible futures challenges teams to consider different potential outcomes and to design tangible steps the company can take to either grab opportunity or avoid risk. Although it's important to imagine ideal or preferred future scenarios to create a transformative vision for the future, it's just as critical to explore potential futures with extreme uncertainty or disruption to stress-test ideas. Imagining “what if” scenarios like, “What if AI became the standard for all customer service?” or, “What if customers demand ownership of their data?”stretches a team's thinking to identify resilience strategies and become more nimble.

Preparing for disruption

Identifying and interpreting emerging paradigms helps organizations to anticipate market or strategic shifts before they disrupt, making it possible to proactively invest in nascent opportunities or manage the decline of legacy approaches or systems. It minimizes risks associated with abrupt change and encourages continuous innovation, ensuring the organization remains competitive and able to seize new growth opportunities as they arise. It’s all about building confidence in making strategic choices.

Creating artifacts from the future

A future news headline, a mock product, or an immersive experience can make abstract concepts concrete, spark discussion and inspire strategic actions that could be aligned with longer-term goals. Sometimes the most powerful stories or artifacts of the future are those that are the most mundane, like a job description or a transportation ticket set 15-20 years into the future. These  visions bring the future to life, and enable teams to embed future-thinking into strategic choice making.

Given the scale of the organization I was working with, we expanded the traditional signals exploration, mapping everything from the future of work and retirement, to the rise of a digitally-native generation, to shifts in human decision-making related to a broad and rapid integration of AI. A collaborative team of consultants and internal staff updated this tool weekly, regularly identifying and tracking trends, drivers, and future scenarios across the tech industry. And we mapped paradigm shifts in critical areas of the company’s operations, spotlighting strategic opportunities to lead change in the space.

Additionally, we developed and deployed a futures-focused curriculum and a program to engage leadership and key cross-functional stakeholders, ensuring lasting impact and sustained capabilities across the organization. Not only did we prepare the organization to anticipate and navigate future shifts, we also embedded a lasting culture of foresight, empowering the organization to lead its industry with confidence and agility.

For companies like this one, having a futurist-in-residence is no longer a nice-to-have—it’s a strategic imperative. This role is critical for two reasons: preparation and opportunity. With so many variables at play—from technological advances to societal shifts—it’s critical to have someone who can filter through the signal noise, identify potential game-changing opportunities, and help those who guide the organization to adopt a more forward-thinking approach. The role can also foster a culture that challenges assumptions, encourages innovative and creative thinking, and equips teams to identify and interpret the forces that are shaping tomorrow.

In today’s volatile and complex world, companies need futurists not just as advisors, but as strategic enablers who build futures literacy across an organization. Investing in the future means investing in the people who can help organizations see a wide array of futures clearly and act on uncertainty with confidence, helping turn that uncertainty into strategic possibility.

As part of a client engagement, I recently stepped into a futurist-in-residence-style role for a major tech company that was eager to infuse futures thinking throughout an already innovative organization.

One of the ways they deliver this value is by being more approachable and responsive to a wide range of user behaviors. Or, seen another way, by being social and emotional by default. Designers of these tools can lean into the power of emotional engagement, or pretend it isn’t actually there at all. Count us on the side of emotional engagement: We believe that designers should understand and intentionally integrate emotion into data analysis tools.

Why does emotional engagement with data matter?

Data is at the heart of decision-making, driving everything from product development to customer service. Every presentation of data is ultimately telling a story, from a dry spreadsheet to Florence Nightingale’s famous casualty diagram. But how effective, impactful and, perhaps most importantly, intentional is that story? Emotional engagement is vital because it not only makes data more relatable, but also invites curiosity and deeper reflection. By intentionally crafting the personality of conversational AI systems, we can create experiences that enhance functionality through emotional connection.

Personality-driven AI interfaces help transform the process of making sense of data into an experience that can spark empathy, understanding, and even enjoyment. This approach offers a way to help AI systems humanize data, making the interaction with that data feel less transactional and more like a conversation.

The role of personality in AI systems

Integrating personality into data presentation systems is more than a party trick to add life to your pie charts. It’s about designing tools that can communicate with users in ways that reflect their mood, tone, and even sense of humor. Large Language Models (LLMs) make this not just possible, but accessible to everyone who needs to present data. By generating natural-sounding dialogue and infusing it with personality, LLMs allow for conversations that resonate emotionally—and at times playfully—rather than just delivering dry data. We believe all data tells a story, and LLMs can help you tell a better one.

What can that look like in practice?

During a recent workshop we hosted at HCI International 2024, we asked participants to design AI-enabled systems using an evolved version of the "Talking to Docs" framework. Our goal was to strip back the LLM interface as much as possible, until it contained just the elements we wanted to explore: a base prompt and a searchable vectorized document set. This simplification let our participants experience how setting intentions around personality and emotional framing through prompt engineering can recontextualize their unstructured data (held in the vectorized document set). Each participant took a unique approach to how their unstructured data could be presented in a more intentionally humanized way, blending functionality with personality. Here are some of our favorites.

1. Exploring Newton’s Principia Mathematica with an enthusiastic fitness coach

One participant created a conversational system to explain Newton’s Principia Mathematica in the style of an overly-enthusiastic fitness instructor. This personality is rooted in humor and contrast. Principia contains some of the most revolutionary ideas in physics, not to mention that it’s written in Latin–not an inviting combination. By choosing the framing of a fitness coach, the system immediately added a whole different set of cultural signifiers. But, the benefits went beyond style. The system actually framed its explanations of the ideas in the text as fitness metaphors, making them more relatable to a common human experience—like when it explained the concept of gravity.
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"Just like your muscles build momentum during a run, gravity pulls that ball down the hill! Keep up the energy,—you’ve got this!"‍

This example shows how AI can make even the most challenging material feel dynamic and engaging and, perhaps most importantly, welcoming to audiences who might not be seen as the core one for a particular subject​.

What could this mean in real-world applications? Imagine large multinational corporations creating engaging experiences for AI adoption and upskilling their workers; hospitals could explain complex medical treatments to patients in digestible ways, and schools and education companies could make tough subjects more fun and accessible to learners.

2. Demystifying Picasso’s Guernica for the curious

Another participant used a friendly, approachable art teacher personality to explain Picasso’s Guernica to younger audiences. By using relatable language and a conversational tone, the system helped break down the complex themes and techniques of the painting, making art more accessible as a patient teacher might:
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"Picasso broke things apart and put them back together in strange ways to show the confusion and chaos of war. It’s like a giant puzzle, and you’re the detective figuring it out!"‍

LLMs can be prompted to use existing pedagogy techniques (for example, Socratic dialogue or reciprocal teaching) to deepen understanding of topics a user might normally just skim over. This approach could be used by art and fashion players like museums and brands to explain the backstories of their artifacts, or by travel companies to add greater context to a visitor’s experience of a new place. Or, even more provocatively, this technique could be used to create understanding, consent and trust when agreeing to data usage, especially in highly-sensitive but complex areas like genetic data and other personal information.

3. Adapting the approach to user behavior

A third participant introduced a humorous twist to the bureaucratic process of filling out tax forms by creating an interface that changes its entire persona based on the attitude of its user. If the system detects the user’s tone as positive  and polite, it responds with the personality of a bubbly, cheerful government worker right at the start of their career. But if the system sees that the user is grumpy or rude, it replies with a sarcastic and grudging attitude, and adopts the persona of a government worker on their very last day on the job.
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"Ugh, all right. You do not put your ITIN here. Grab a coffee and take a deep dive into section 4 of Pub. 15 if you really want to know more."‍

What happens when you no longer have to design your interface with an assumed user intent, but instead can dynamically adjust it based not just on explicitly gathered user preferences, but on their tone and attitude?

There are many applications where creating some intentional friction when users don’t behave as intended is desirable, from financial planning to medical treatment plan adherence. Instead of building these frictions on a one-size-fits all design, we can use LLMs to estimate user attitudes and create the right behavioral nudges at the right time. And maybe they can even manage to be funny while doing it.

The future of emotionally-engaged AI design

Designing AI-enabled systems isn’t just about efficiency and ease. It’s about creating meaningful interactions that leverage how humans think and feel to make data more accessible, relatable, and even enjoyable. With their ability to understand and transform human language, AI systems naturally evoke emotional responses that differ from those triggered by traditional software or hardware. Even the absence of a defined personality becomes a personality in itself. As designers of these systems, it’s our responsibility to think deeply about how they’ll relate to users, not just how technically accurate their responses will be. The applications of personality-driven, emotionally-infused AI interfaces can span sectors from technology to healthcare, culture, media, education, government, consumer products, and beyond, potentially making data more vital, relatable, and actionable in all of our everyday lives. It all depends on design.

As AI technology advances, so does the potential to reimagine how we experience data—where even the most abstract information can evoke curiosity, empathy, and engagement.

Try it for yourself

We created this process to make engaging with the fundamentals of AI tools more accessible to designers–and that means you too! If you’d like to try your hand at our personality crafting exercise you can find instructions here. We’d love to hear about what you make! And if you’d like to partner with us to help solve an AI problem of your own, get in touch.

AI data analysis tools are promising a lot: efficiency, adaptability—even enhanced comprehension.

That was a key message we took from our time at the second annual TED AI conference, hosted in our own backyard of San Francisco. Two days full of panel sessions, robot demos, and classic TED Talks had us considering the nature of time, the power of language, and transcending human cognitive limitations. The biggest theme: The urgency for bringing human centered-design to AI is only getting stronger.

Here are five key takeaways from our time on the ground.

1. Beware the black box

The black box approach to AI’s foundational models are the root cause of issues around ownership, copyright, credit—and in the case of certain industries like healthcare—exclusion of entire userbases.

Not knowing what the training data was, where it came from, or who it originally belonged to, means that:

1. We’re not able to give credit or reimbursement to the original creators of that data.
2. There are unknowable but impending legal ramifications from a copyright perspective.
3. Healthcare professionals are unable to use models such as ChatGPT, because without being able to verify or validate the training data, they’re unable to confidently (or even legally) use the answers the models provide.

Already, though, some companies are pioneering more transparent and more widely-usable data sets and model developers. HOPPR, for example, is building the first multimodal AI foundation model for medical imaging and radiology, while the non-profit Fairly Trained is based on the belief that that many consumers and companies “would prefer to work with generative AI companies who train on data provided with the consent of its creators.”

The concept of designing for transparency is reflective of a lot of research we have done in the past with users and data. Our 2019 work with Mozilla exploring more ethical and user-centered solutions to the Surveillance Economy highlighted the pitfalls of data collection, and the opportunities for tech companies to build value by handling user data in more human-centered ways. Combine that with our blockchain work at IDEO CoLab, and there are lots of interesting spaces to explore and draw inspiration from—including individual and collective control, consent, and value generation.

2. Consider the human consequences

A lot of industry specialists are focused on the near-future of the technology, as opposed to the mid-term opportunities and AI’s long-term effects on humanity. Some speakers were concerned that we're spending too much time worrying about what the technology will do for us, while others think we're too concerned about what it will do to us. There was a lot of focus (for better or worse) on the productivity benefits, but relatively few people were thinking about the consequences for humans.

Eugenia Kuyda, founder and CEO of Replika, noted that we should “stop designing for productivity, and start designing for joy,” which is a lovely provocation. We don’t need to forsake one for the other, but designing for joyous experiences can make productivity far more desirable. Our work with Ethiqly around integrating AI and writing exercises in schools focused not on the power of the technology or how many more essays kids could write, but on making the process of getting your creativity on to paper more joyful and rewarding, and focusing on the relationship between teacher and student.

There were also several conversations around the idea that technology will free up time for us to spend with our families instead of working. As romantic as this sounds, it’s not realistic. Organizations will simply reduce headcount, and then increase the other workloads for employees. Articles like this one from the BBC hint at a workforce feeling more burnt out due to AI implementation, showing a glimpse of the human consequences we should be designing for at the application layer.

3. Embrace quality over quantity

Several people spoke about the exponential growth of investment in computing power for large language models (LLMs). Currently, 70 cents of every dollar invested in AI models goes into crunching the data.

As an alternative to this massive use of resources, several speakers brought up the concept of small language models. SLMs are literally smaller models, trained on just 1 billion tokens. (LLMs can require upwards of 1 trillion tokens.) These SLMs can be created with a fraction of the time and energy, and offer great specific utility. Consider the example of the telecom call center. Its model doesn’t need to be exposed to the nuances of Shakespearean sonnets; it just needs to know the words and phrases needed to operate a call center, so you can spend less time, money, and energy on creating your model.

With the tens and hundreds of millions of dollars we’re spending to train LLMs, how much are we willing—or is financially feasible—to spend on models? If we continue down this path, the financial / physical / electrical requirements are going to become unsustainable. One panelist mentioned that “we should be feeding the machine the right information vs. all the information.”

The potential futures for more intentional and nimble SLMs seems much more approachable and both financially and ethically feasible.

4. Spoken language is irreplaceable

One of our favorite speakers was Jessica Coon, the linguist who consulted on the movie Arrival. She argued that human language is rich, nuanced, and endowed with the histories of our cultures. An input text box attached to a keyboard populated with Roman characters is never going to be able to express a fraction of it.

Rikin Gandhi, the co-founder of Digital Green, a company using AI to provide agricultural information and guidance, spoke about the company’s work with farmers in rural India, where illiteracy and nuanced local dialects and translations make-text based offers unviable. But AI models’ abilities to understand spoken language, locational context, and nuances of a given agroecology and a given time of the year means those farmers can interact through images, video, and spoken word.

This perspective shines a spotlight on the potential for more diverse and inclusive design principles, and our spoken language is a key part of that future.

5. Discover a new impetus for responsible design

We also heard from Pratyusha Sharma, a leading researcher and member of Project Ceti, who shed light on how we might be able to leverage generative AI to understand the unsolved mysteries of the ecological world.
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Sperm whales communicate through clicks, or codas. While researchers for decades have understood that this is the primary communication pattern by which this social species coordinated, it had been impossible to untangle the spoken language and what it meant. Sharma spoke about a novel use of generative AI—using a generative adversarial network, or GAN, to surface both the alphabetic principle and deeper understanding of coda meanings. With this technology, not only could we hear the sperm whales’ communication—we can understand what it means and predict from their communications what they might do next, whether that’s diving for food or coordinating childcare.

As AI tools become more and more powerful in helping us understand the language of the world around us, the impetus for responsible design will become clearer and clearer. If we can start to interpret the language plants, animals and earth use to communicate, how can they not be a stakeholder in everything we design?

Curious how human-centered design could help you make more desirable AI products? We’d love to chat.

We need to start pulling the human signals from the technological noise, and weaving them together.

A good purpose statement articulates a passion to boldly make an impact. It can differentiate you from competitors, grounding your work in deeper meaning. It can serve as a beacon to draw like-minded individuals to your company—as consumers or employees. And it can align and motivate leaders, guiding strategic choices.

To do all that, a good purpose has to make you FEEL something.

But too often in crafting a purpose statement, marketing and business jargon sneaks in, adding extra bloat. Or conversely, the language gets watered down to the point where it doesn’t mean anything anymore. The emotional gets sacrificed for the intellectual.

If you feel yourself or your team starting to slip into the weeds—or floating too high above the clouds—here are three ways to re-inspire and re-calibrate your thinking around purpose.

1. Get out of your own head: Collect love letters.

‍If you’re feeling lost at where to even begin, start with some on-the-ground research. Approach employees, end users, stakeholders—whoever interacts with your brand or company—and ask them to write a love letter to your organization, talking about what they’re most proud of, or what they appreciate most.

How we’ve used it: Last year, we were working with the team at Dartmouth Library to develop its strategy, starting with a clear articulation of its purpose. As part of a series of co-design workshops with faculty, staff, and students, we asked participants to write a letter to their library: What did they treasure most? How did it make them feel? While the stories we gathered covered a broad range—encompassing everything from intellectual exploration to belonging—they revealed the deep connections people had with their library, an attachment that was central to both its purpose and strategy.

2. Push past “what” and “how” to uncover your “why.”

‍If you’re feeling like your purpose is stuck in details and logistics, try the classic Golden Circle from Simon Sinek. Draw three concentric circles: the biggest should be WHAT you do; the next, HOW you do it; and the center WHY you do it. Brainstorm your answers to each and put them in the appropriate sphere. Focus on what landed in your center circle—your whys start to articulate your purpose.

How we’ve used it: The Boston Society for Architecture reached out to us to help the organization shift from being program-driven to being impact-driven. In a series of collaborative workshops, we had stakeholders list all the practical and emotional benefits for member architects, partners, community leaders, and students. Together, the team mapped these examples on the Golden Circle, setting aside functional positioning statements to focus on elevating the why—the emotional purpose that the organization could rally around.

3. Fast forward to the future to ground purpose in greater context.

‍If you’re struggling to make your purpose feel more aspirational and evergreen, consider taking an imaginative journey five, 10, or 15 years into the future. Spend a few minutes generating as many future signals as possible: What are things you observe in your industry, your customers, or your organization today that might indicate bigger trends over time? How might you evolve your purpose to stay relevant amid these changes?

How we’ve used it: In the earliest days of the pandemic, we were working with a large consumer electronics company to design a bold new strategy for the organization. To kick off the work, we spent a couple of hours with the core team generating signals. Even though we had no idea what the impacts of the pandemic would ultimately be, we were looking to uncover and better understand trends that were already starting to emerge in the world around us. These explorations into themes like hybrid work, climate resilience, equity (and more!) helped us paint a picture of the future that gave us a context for defining a purpose that could fit the company for years to come.

Articulating a bold and inspirational purpose is hard. It requires creativity, empathy, and constant iteration. And in the swirl of “are we there yet?” it can be easy to sacrifice the emotion, chopping the “feeling” in favor of generic language that—if said with enough oomph—sounds smart enough. But it’s not worth it.

Finding the right “why” can help give your purpose the power it needs to inspire leaders and employees to work in service of something greater. And when you bring it to life, a great purpose can signal your company’s core ethos to consumers, acting like a beacon to those who seek what you have to offer.

For organizations and brands, discovering purpose always starts with a question: “Why do you exist, beyond profit?”

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.