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Kickstarting Europe’s biggest smart energy company

Strategies to bring a new product to market.

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Strategic Futures
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Consumer Products & Retail
Technology

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.

Owners can monitor and control their A/C via tado°'s smartphone app.

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.

TADO°
TADO°
Kickstarting Europe’s biggest smart energy company, TADO°, consumer products, retail, consumer experience, retail innovation, technology innovation, digital products, product design, industrial design, new product development, innovation, strategy, brand strategy, research, prototyping, product development

Invigorating a pharmaceutical company’s culture

How four simple words helped a global company activate its purpose.

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Health
Consumer Products & Retail

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.

Every employee is driven by the mission to accelerate the delivery of good health.

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.

Dr. Reddy's Laboratories
Dr. Reddy's Laboratories
Invigorating a pharmaceutical company’s culture, diabetes care, diabetes management, Dr. Reddy's Laboratories, healthcare, health innovation, patient experience, consumer products, retail, consumer experience, retail innovation, innovation, strategy, consumer insights, prototyping, rapid prototyping, product development, team collaboration

Creating a social enterprise to bring learning into the real world

Designing for youth, with a focus on learning as a lifestyle.

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Climate

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.

LRNG's approach combines in-school, out-of-school, work-based, and online learning opportunities that are accessible to all.

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.

Three illustrated scenarios paint different versions of LRNG’s possible future, each with an alternative view of purpose, vision, operating structure, product portfolio, and business model.
Archetypal comic book characters helped stakeholders understand the many possible roles the new enterprise could embody in the learning landscape.
MacArthur Foundation
MacArthur Foundation
Creating a social enterprise to bring learning into the real world, MacArthur Foundation, climate innovation, sustainability, education innovation, student experience, future of education, design for children, family experience, youth experience, innovation, prototyping, transformation, education, learning

Designing for smarter mobility

Helping Ford evolve from an automaker to a mobility provider.

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Mobility
AI & Emerging Tech
Technology

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.

Modified Raspberry Pi computers captured and transmitted telematic data from a fleet of Ford Fiestas in London.

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.

Ford's Open XC hardware, attached to bikes in San Francisco, tracked their movements around the city.

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.

FORD
FORD
Designing for smarter mobility, bike sharing, urban cycling, FORD, mobility, transportation innovation, AI, artificial intelligence, emerging technology, technology innovation, digital products, mobility design, future of mobility, innovation, prototyping, transportation

My Four All-Time Favorite Workarounds

From record players to toaster ovens, IDEO engineers come up with some surprising solutions when we test, prototype, and build new products

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Throughout all those years, from the machine shop to the digital shop, regardless of the technology we’re using or the problem we’re trying to solve, what has really gotten things done is ingenuity and creative thinking—especially in the face of dire cost and time constraints. A little bit of luck never hurts either.

So without further ado, here are my four favorite workarounds of my last decade and a half at IDEO.

2001: Using an Oscilloscope to save the sunroof

The challenge: The sunroof in your car is an invitation to luxury—catch some rays, feel the wind in your hair. The problem is, when driving at certain speeds with the sunroof open, a distinct and unpleasant booming noise can occur, making the experience rather less glamorous. The sound, a quick, repetitive thumping, is called “buffeting.”

Carmakers couldn’t figure out what to do about it. A luxury automobile company hired IDEO to find a way to make it stop.

IDEO’s workaround: My colleague Thomas Enders and I borrowed a brand new Mercedes-Benz and went for a ride! We brought along an oscilloscope (or “O-scope”) to measure the frequency and intensity of the sound waves of the buffeting effect at various speeds. With Thomas at the wheel, I held the O-scope, connected to a barometric sensor. This way, we were able to measure what was happening every time the buffeting started up.

What we discovered was that closing or opening the sunroof a small amount would change the dynamic of the air space in the car, and the buffeting noise would stop. So we designed a circuit that could detect buffeting and automatically adjust the opening of the sunroof to get rid of the annoying noise. Cruise on, in unimpeded luxury!

2002: Turntable-testing stylus materials

The challenge: Handspring, a company that produced hand-held PDAs (remember those?), looked to IDEO to find the best, most durable material to use for their stylus pens. We narrowed it down to a few polymers of various densities, but we had to figure out how to effectively test the materials for wear and friction over time.

IDEO’s workaround: We bought an $8 record player at the local Salvation Army, and replaced the needle with the various materials we were testing. Then we started it up and used a tachometer to track revolutions and measure distance and speed. Now we can brag about our DJ skills.

2012: Making the functional fashionable with paracord

The challenge: We worked with Vodafone and fashion designer Richard Nicoll to create a purse that could charge a mobile phone, while also being stylish enough to work the catwalk at the London Fashion Show. Part of the design was a small charm that hung outside the purse and flashed LED lights to signal incoming calls and text messages. We needed to find a coating for the charm that would protect the LEDs without being a fashion faux pas.

IDEO’s workaround: While we were brainstorming materials, I looked down at the bracelet I was wearing. It was made of paracord, commonly used for the strings of parachutes. Paracord is extremely durable, and it’s sold in a plethora of colors and patterns. We ordered a few strands online and found that we could remove the sheathing from the outside of the cord. We dressed the charm’s electrical cord with the sheathing from paracord, and voilà ! It gave the high-tech handbag a clean look and feel that was fit for the catwalk.

2013: Cooking circuit boards in a toaster oven

The challenge: Today’s electronics can be minuscule, and that means soldering up a printed circuit board (PCB) by hand can take forever. People who build a large number of PCBs use reflow soldering technology, but the necessary equipment is extremely expensive.

IDEO’s workaround: We decided that, given the type of rework electronics we do, it would be a good idea to tap into the mindset of the DIY community. Taking a page from their book, we bought a standard toaster oven. We fired it up and tested different temperature profiles and various types of solder paste, and soon came up with a working reflow soldering system.

Illustrations by Ina Xi

In my 15 years at IDEO, I’ve had a hand in roughly 130 projects. Some of the technologies I’ve worked on have become obsolete, like component research that required dozens of part catalogs (now, we just use the Internet). Many, though, have become the foundation for newer technologies, like discrete components, which were developed into MEMS sensors. And some, like the first Olympic torch to use LEDs rather than a flame, have been the very first of their kind.

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my four all-time favorite workarounds, prototyping, rapid prototyping, testing new ideas, product design, hardware prototyping, sports, experience design

Information Overload

Can algorithms help us navigate the untamed landscape of online news?

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IDEO New York developer Francis Tseng is—in his spare time—searching for a solution to the problem by exploring its root: the relationship between content and code. Tseng received a grant from the Knight Foundation to develop Argos*, an online news aggregation app that intelligently collects, summarizes and provides contextual information for news stories. Having recently finished version 0.1.0, which he calls the first “complete-ish” release of Argos, Tseng spoke with veteran journalist and documentary filmmaker Jason Cohn about the role technology can play in our consumption—and comprehension—of the news.

How would you describe to my mom, who just got her first smartphone, how Argos works and why it’s useful?

I’d say that it collects all of the important news and tells you exactly what you need to know about it. Instead of tracking separate publications, it pulls in new articles from a variety of different sources (right now, just a few major publications) and condenses everything into a set of bullet points. Argos uses a technique called “hierarchical agglomerative clustering” (HAC) to organize news stories. HAC takes each individual article and compares it to every other article, and comes up with a number representing how similar they are, on a scale of 0-1. If the similarity is above some threshold—say, greater than 0.7—the articles are considered to be talking about the same event, and they are grouped together into “event clusters.” The same HAC clustering technique is then applied to the event clusters to organize events into “story clusters.”

The general processing flow of Argos

A sentence ranking algorithm generates a summary of each event cluster by analyzing the text of every article in the cluster and assigning an “informativeness” value to each sentence. It then takes the top five highest-ranked sentences and forms a summary. Right now I have a very simple version implemented, but the long-run focus will be on improving these core algorithms that do the heavy lifting.

Are journalists necessary anymore? Have I been replaced by an algorithm?

I personally don’t think that journalists will be replaced, at least not for a long time. Someone still needs to go out and do the research and the original reporting to get the information that the algorithm uses, which seems like the hardest and most valuable part of journalism.

It seems like some new tech applications derive from the recognition of a new technical capacity, which you then look for novel ways to use. In other cases, it begins with the recognition of a need, and you look for extant technologies that provide a possible solution. Which way did you approach Argos?

Both. I’ve always had a fascination with artificial intelligence, and that fascination has probably made me more sensitive to problem areas where AI approaches could be applicable. Personally, I find information overload, especially when it comes to keeping up with the news, really anxiety inducing and overwhelming, and I think because I was already familiar with some of these text processing techniques, it made sense to try applying them to this particular problem.

I’m glad you brought up information anxiety and overload. I think it’s a huge barrier to understanding the news today. There is so much information and analysis, but I don’t trust any of it, and I don’t know how to begin to get to the bottom of what’s really happening. Do you think Argos, or technology in general, can be an aid in this problem?

That's a particularly good example of the fact that there are different kinds of information overload. There’s one that is just about having too much information, but there’s another that is about figuring out which information you can trust. In general I would say technology has the potential to salve these kinds of anxieties, but it can just as easily do the opposite. More than anything, I hope Argos reduces the problem rather than adds to it, but one of the big failings I’ve felt with this first version is that it doesn’t accomplish that; it ends up generating more noise. Based on the feedback I’ve gotten, I'm looking at new designs and reevaluating techniques in order to rectify that.

What did you learn through building the first version that will influence the next one?

When I originally conceived of Argos, I was (and probably still am) naive about the extent of the issues that plague digital journalism. The more I looked into it, the more problems came up. Initially, the idea was about reducing information overload, mostly by supplying missing context to stories. But after completing this first version, I think that reducing overload and providing context might be really big and different issues. So right now I’m trying to determine how—and if—they can be solved simultaneously.

You mean because providing more context increases—by a lot—the amount of information a news consumer requires?

Exactly. The other main goal was increasing the understanding one got out of reading the news, which is what context is supposed to help with. But that’s kind of useless if all that information ends up driving people away from reading the news in the first place.

What changes are you planning for the next version of Argos?

In the first version the design was focused more on providing an experience similar to a traditional news publication or news reader. The app was organized around different feeds, or streams, presented as full-screen images with the title and summary of each event.

Argos's onboarding screens

One issue was that the design wasn’t distinct from other news readers—you can’t really tell from looking at it that it’s offering anything different from a traditional RSS reader or news application. And it’s really hard to expect that every news story will come with a nice big image. Also, though, I think that in approaching the app as a traditional news publication, I missed the point of what I was trying to accomplish. The feedback I've gotten has helped me understand that Argos can have a more useful and unique place in being kind of a “daily scan” of the day's news events. So the new designs are more akin to brief updates about events around the world, to provide people with an entry or starting point for reading more and getting involved in discussions.

Screens from the Argos iOS prototype

And you give them avenues for digging deeper into contexts and definitions?

Yes. The original source material is there to read, and context is optionally provided. You can choose to read more about the event itself, or about the people, places, organizations, etc. that are involved.

What about the issue of bias? As journalists, we’ve always had to be wary of our sources. And as consumers of news, it’s always been a good idea to assume that someone with an agenda is feeding reporters their information. How does Argos handle biases and opinions that are embedded in a story?

The issue of bias in journalism is one of those big problems that cropped up when I looked more closely at what I wanted Argos to do. It seems like a perennial issue. One potential solution is that, if you sample a large enough set of publications, bias might “average out,” so that any summary that is formed from their aggregate has less bias than any individual article. I don’t know if that works in practice though. My cop-out answer would be that Argos isn’t really trying to solve the problem of bias, but personally I hope that one day it can. Looking at the history and associations of the author who wrote the piece could actually be a very good technique. In the new version of Argos, I want to incorporate more community dialogue around the events and stories. In my experience, a lot of these issues about bias—being as complex and nuanced as they are—are best hashed out by individuals discussing them.

I think I have to disagree with you on that! My feeling about web comments on news stories is that they rarely shed much light relative to heat.

It is very difficult to pull off correctly. A lot of comments devolve into knee-jerk shouting matches. Occasionally, though, I’ve found something really insightful. On Reddit, sometimes experts will come in and succinctly explain things, and every once in a while you see a very levelheaded discussion about a story. I think the potential is there, but it’s hard to get it right.

One thing I’ve been focusing on is that I’m trying to get my hands mostly on reporting that’s coming from the field. The rest is just analysis, which, in my opinion, is more susceptible to ideological influence.

Yes! I have been thinking a lot about how to incorporate grassroots and community reporting. I’m dissatisfied with Argos’s current approach of relying on major publications, but it’s just easier at this stage.

Do you need to have content licensing relationships with news organizations to harvest the data or can you just… borrow it?

It’s possible this usage of the content falls under the terms of “fair use.” All the original articles are cited, and I’m hoping that these high-level summaries can interest people in reading the original posts. Since things are still quite experimental, I’m not worrying about the potential legal consequences now, but at some point I will want to talk to the publishers.

It seems to me that one really useful type of story for Argos is something like the lost Malaysian airliner. There was a big burst of real news when the plane disappeared, and then there was an endless cycle of conjecture and empty reportage with very little actual “news.” If you were following that story on Argos, would you avoid being updated every five minutes to discover that they still haven’t found the missing plane?

Yes, if the clustering algorithm works well enough, it should be able to recognize that these articles are talking about exactly the same thing as the ones from last week, so it’s not a new event.

It would be nice if cable news worked like that.

Maybe with Argos it will!

*Argos is a personal project of Francis Tseng's and is not affiliated with IDEO.

Digital journalism has evolved to a point of paradox: we now have access to such an overwhelming amount of news that it’s actually become more difficult to understand current events.

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information overload, journalism, algorithms, artificial intelligence, digital experience, decision making, experience design, customer experience

Painting with Code

How generative art reveals new possibilities in visual expression and design

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Generative art, or art derived from computer code, is a relatively new format, in which the artist-programmer realizes a vision or idea by defining parameters and commands. But making generative art is, in many ways, just like painting or any other classical fine art.

When you create a painting, you start with an inspiration and sketch it on paper. You then prepare your oils, brushes, and canvas, and you refine the painting until it’s just right. I follow a similar process with generative art. When something inspires me, whether it’s a contour map in a geographic magazine, a chart representing a mathematical formula, or the various mechE tools in my father’s workshop, I sketch it on paper and jot down the keywords that best describe it. Then, I sit down at my computer and compose the code (using the Python programming language) that will “paint” the right “brush strokes.” I run the code to generate images on my computer, and go through multiple iterations until the code outputs the shapes, colors, opacities, and shadows that perfectly express my original idea.

I leverage the power of my computer to generate the artwork. Where a classical fine artist would pull out their oils and brushes to express colors and shapes, I do the same with parameters. For example, I defined a palette of colors for painting waves like this:

As if the computer was a hand holding a brush, I tell it how to paint by defining command codes, like draw_wave:

Delightful randomness

While most of the parameters in my code are set statically, I have also added an algorithm that allows certain parameters to be generated randomly, so the visual elements of the image change randomly within a defined range. This way, the final product is unpredictable; I’ll never know exactly what image will be generated.

This function returns a float number randomly ranging from 0.1 to 0.7:

The random parameters are not only unpredictable, but also non-reiterative, so these images cannot be recreated—they are completely unique.

Algorithm as art

Computer graphics are based on mathematics, so when I paint with code, I am exploring and visualizing the beauty of structure, abstraction, and complexity in mathematics that most of us don’t get to see in our daily lives. It often happens that when I play with a new algorithm and see the images it generates, I'm inspired to develop them into artwork, as was the case with Tsunami, below. The inspiration for this series came while playing with an algorithm named Cornu Curve, which generates a fantastic visual effect of crazy waves. From the same code, I made six different images using a combination of a hundred curves in varying opacities and shades of blue.

Unlimited complexity

Creating art with code allows me to make complex images that I could never have made by hand, such as All Seeing Eye, below. It is composed of millions of lines and hundreds of layers, and each line has its own shadow, blur, and opacity.

My goal was to use the complex texture to create the visual effect of catching or entrapping the audience in the “eye.” The computer is an exciting tool for creating art like this, which requires repetitive, intricate work. A piece of generative artwork composed of millions of shapes can be drawn in just a few minutes. Rendered by hand, the same piece might take a human ten years to accomplish.

Like a painter selecting the perfect tool, I used the following piece of code to define a “brush” with just the right characteristics to create the lines I wanted:

Then, just as a painter would use a specific gesture to create a certain visual effect, I used the following code to tell my computer how to hold and draw with the brush I created:

Functional designs

The exciting thing about generative art is that it is not only beautiful, but also usable. We can create new patterns and unique fabrics for the fashion industry, or we can move beyond two-dimensional creations and use generative art to make sculpture, furniture, and even architecture.

Creating art with code, I’m constantly making new discoveries of exciting visual possibilities. Computers have revolutionized countless aspects of human life, and now, generative art has the potential to revolutionize artistic expression, opening infinite space for innovation.

By day, I code mobile apps and design digital experiences. In my free time, I create art. I recently began exploring both at once with generative art, a sublime combination of computer programming and graphic art.

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painting with code, coding

How to Make a Fauxtobooth

IDEO New York hacks by hand, building a photo booth that lets people get reacquainted with their inner artist

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Wild ideas emerged: a Hug Deli, where patrons might order Ninja Hugs off the menu; a mystery bar, serving up a drink chosen by the previous guest. The big idea was to get people out of their “thinking minds“ in order to freely create.

And that brought us to Fauxtobooth.

A riff on the classic photobooth we all know and love, this version is completely handmade and doubles as a creative confidence booster—forcing people to draw on a deadline.

How it works

The subject takes a seat inside the booth, facing a mirror. Thirty seconds after pressing a button, the subject receives a slip of paper through a slot below the mirror with—whoa!—a hand-drawn sketch of his or her face on it.

Um, how exactly did that work?

When the host brings the subject around to the back of the booth, the inner workings of the machine are revealed: table, chair, paper, Sharpies. The subject was actually posing in front of a two-way mirror and now it's his or her turn to take on the role of fauxtographer—of capturing the next unsuspecting subject.

How it's made

To make a full-scale prototype, you’ll need some foam core and tape. A crude model will help you get a sense of the dimensions and how long it would take to build. The massive black exterior offers an opportunity to advertise your offer. We used vinyl decals for our slogan: “Automatic portraits while you wait!“

Enlist friends: Building a Fauxtobooth takes a village (who likes to cut foam core alone anyway?).

Glue together pieces of foam core to provide structural integrity, and attach the parts using industrial strength velcro, making it possible to easily deconstruct and transport the booth.

Finishing touches

A few key elements bring the Fauxtobooth to life: a two-way mirror, a giant red “Start” button, and graphic flourishes:

  • Two-way mirror: The artist can see the subject, but not the other way around. Position the Fauxtobooth under direct light on the subject’s side (you can also use a spotlight), and make sure the curtain is closed on the other side to completely conceal the artist.
  • “Start” button: Program an Arduino to keep time (we used an interval of 30 seconds). When pressed, the button lights up for 20 seconds; for the last 10 seconds it blinks and counts down. This serves a dual purpose: the subject knows to hold still for their portrait and the artist knows how much time they have to complete the portrait.
  • Graphics: IDEO designer extraordinaire Njoki Gitahi loves bold, vintage signs, and playful, typographic compositions. She took inspiration from Lou Dorfsman’s “Gastrotypographicalassemblage.“ The team vinyl cut and applied the graphics—a tricky process, but well worth it in the end. The white lettering creates a dramatic display against the black backdrop.

What we learned

Once we narrowed in on the Fauxtobooth concept, we realized that (1) you can capture the gestalt of a person in a very short time, (2) people have fun with it, and (3) the collection of images make for an awesome display wall. Here are a few other things we discovered along the way:

  • Get back to basics. Building with common materials like foam core, tape, and Velcro reconnects you to basic skills and tools. And the analog experience charmed the pants off people.
  • Velcro is your friend. Not only is the sticky stuff forgiving if you don’t get the alignment just right on the first try, it also allows you to disassemble and reassemble structures on location. Consider it the new duct tape.
  • Fine-tune light and sound. We were able to position the subject’s side of the booth under a light and keep the artist’s side relatively dark. Check your space ahead of time and use a spotlight if necessary. Also, as the party heats up, the sound of the Start button may be drowned out. Turn up the volume!

Your turn

Up for the challenge? We put together a handy manual so you can learn from our mistakes. If you do build a Fauxtobooth, we’d love to hear about it. Send us a few (real) photos!

Download the replication manual and vinyl graphics

There was a lot of work to be done. IDEO's New York studio was to host an event to celebrate Tom and David Kelley's new book, Creative Confidence, and whatever we designed had to reflect their ideas. Pressure on, we brainstormed over lunch—tools and sticky notes spread out across the largest room in our office.

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how to make a fauxtobooth, creativity, creative confidence, ideation, brainstorming, craft, prototyping, urban design, cities

Lindsey Turner

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

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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.

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