For 6-year-old Dave Jr., a long line at Disneyland triggered a massive meltdown. His parents were concerned and a little embarrassed, but not surprised; Dave Jr. struggled to keep his emotions in check.

Hoping to help, Dave Jr.'s uncle, entrepreneur Craig Lund, joined forces with researchers at Harvard Medical School and Boston Children’s Hospital, along with a video game designer who had worked on Quick Hit and NBA 2K. Together, they set out to design something that could teach coping skills to kids like Dave Jr. who need to manage “big emotions,” as well as children suffering from anxiety, ADHD, and other behavior issues, which are on the rise.

Their collaboration resulted in a video game called Mightier and a startup called Neuromotion Labs—a 10-person team of psychologists, game designers, and engineers who embedded at IDEO Cambridge for a one-month sprint to improve the game and get ready for launch.

To play Neuromotion's game, kids are first taught simple, calming breathing exercises. During gameplay, kids wear heart-rate monitors on a wrist or arm that detect spikes caused by stress or anger; as their heart rates go up, the game's difficulty increases. Kids have opportunities to pause and try deep breathing to counter the ramped up challenge. As it turns out, "gamifying" restraint builds strong incentives for kids to take charge of their emotions—they have to if they want to win.

Already activated around boosting mental and emotional health, IDEO's design team worked side-by-side with Neuromotion to study how parents and children experience Mightier. From home visits to group interviews to a summer camp-style design session with kid players, live feedback fueled the next iteration of the gaming platform and better product-market fit.

IDEO helped Neuromotion hone the visual design and mechanics of Mightier and expand it's suite of games. The team observed that the Mightier program was more successful the more involved parents of players became, which revealed a need for additional resources for adults. So they created new supports, including a more detailed orientation and a personalized coaching service for parents staffed by trained therapists.

But can a video game actually help kids cope? Early peer-reviewed studies showed that playing Mightier reduced outbursts by 62 percent, oppositional behaviors by 40 percent, and parental stress by 19 percent. After 12 weeks of using Mightier, a survey of kids and parents showed that 96 percent of parents saw positive behavior changes in their children, while 92 percent of kids learned new coping skills.

Shortly after the design sprint, Neuromotion secured its next round of funding and officially launched Mightier’s array of “bioresponsive games.” The games have already been played more than a million times, and Neuromotion has measured more than a 100 million heartbeats. Mightier games are helping kids and families across the country.

What about Dave Jr.? Recently, his sister told Lund she "accidentally" bumped Dave Jr.’s bike off a pier and into the ocean. She was expecting an outburst of anger, but after eight months of playing Mightier, Dave Jr. stayed cool. His uncle couldn’t be prouder.

Many of us have let vegetables wither in the crisper drawer, or thrown out a child’s half-eaten restaurant meal, but the sheer scale of food waste around the globe is hard to grasp. According to the United Nations, about a third of the food the world produces every year—1.3 billion tons—is lost during production or tossed by consumers, with North Americans throwing out the most food per capita. The average American wastes enough food each month to feed another person for 19 days.

IDEO received a series of grants from The Rockefeller Foundation to find solutions, given the power of IDEO’s human-centered design approach to address systemic challenges. Through a number of projects with The Rockefeller Foundation and other organizations, IDEO designers from across the U.S. devised novel ways to tackle food waste.

For IDEO’s first initiative, designers tapped into the enthusiasm of the broader creative community, in partnership with The Rockefeller Foundation, the City of San Francisco’s Department of Environment, the Closed Loop Foundation, ReFED, and other groups. In the summer of 2016, OpenIDEO—IDEO’s open innovation practice—launched the Food Waste Challenge, asking how people might curtail waste by rethinking our relationship with food. Between June and October, more than 20,000 people from 113 countries took part in the challenge, tracking their personal waste and brainstorming solutions.

Challenge participants submitted more than 450 ideas. A team of food industry experts helped select the 12 top proposals, which included software to help people buy food collectively from wholesalers and a service that delivers extra meals from corporate events to those in need. Ultimately, the Closed Loop Foundation chose to award Full Cycle Bioplastics a $50,000 grant to scale up its idea to convert inedible food and paper waste into a fully compostable alternative to oil-based plastic.

At the conclusion of the Food Waste Challenge, OpenIDEO launched the Food Waste Alliance, a platform for participants and experts to stay engaged with the most promising ideas and innovators. The alliance helped entrepreneurs share resources, prototype new concepts, secure funding, hire staff, and form partnerships. OpenIDEO invited hundreds to join the alliance, and 92 percent of members told IDEO they made progress in their work as a result. One member company, RISE, received funding from another participant who discovered RISE through the alliance. This investment let RISE prototype its concept for milling spent grain from beer brewing into flour for baked goods and ultimately join the prestigious Food-X accelerator.

The Rockefeller Foundation also supported IDEO’s work with City Harvest, a New York organization that collects 160,000 pounds of unused food each day and delivers it to soup kitchens and food pantries. City Harvest wanted to understand the habits of local families who visit food banks in an effort to ensure all the food the group distributes gets eaten. To get a peek into these families’ kitchens, in January 2017, IDEO researchers conducted observations and interviews across New York City’s five boroughs. Pantry customers cooked for the researchers, giving them an inside look at how the families engaged with the food they had available and what food meant to each of them: tradition, stability, even adventure. Based on insights from pantry visitors, IDEO made recommendations for City Harvest, including community-run cooking classes and a way for families to request specific foods or reserve pick-up times by text message. IDEO also created three video vignettes to help build even greater empathy between City Harvest and the people it serves.

In spring 2017, capping IDEO’s work with The Rockefeller Foundation, the organizations teamed up with World Wildlife Fund and Hyatt hotels in Florida, New York, and New Jersey to rethink all-you-can-eat buffets. IDEO studied diners and staff at Hyatt buffets and found that employees—from event planners to kitchen staff—each add a cushion of extra food to cover their bases, while guests overfill their plates to avoid missing out. In the end, diners eat just half the food organizers serve, while the rest goes to waste. This and other data-driven insights gleaned about diners’ habits led to subtle substitutions, including smaller plates of meats and cheeses that can be ordered from servers and individual pastries rather than whole cakes. These alternatives have not only built on Hyatt’s existing food waste management strategies, but have also helped reduce buffet costs at Hyatt Regency Orlando and continued to receive support from guests.

The problem of food waste is too enormous to ignore. Wasted food means squandered resources, lost money, and ultimately, hungry people—more than 15 million in the United States alone. Designers and innovators from coast to coast have helped find solutions to the crisis that fulfill a variety of needs, from preserving produce sent to food pantries to keeping plastic packaging out of the oceans. The Rockefeller Foundation and other IDEO partners are leveraging powerful design techniques to pave the way for a waste-free future.

In 2017, IDEO acquired longtime partner Datascope and integrated the company’s data scientists and engineers. Datascope team members aren’t just passionate data scientists; they’re human-centered designers who happen to work with data, as illustrated by successful collaborations like this one:

In today’s job market, there’s no such thing as being "done" with your education. This is particularly true in the fields of data science, machine learning, and AI, where significant advances are made on a monthly basis. To meet this need for more in-depth training, Metis—part of Kaplan—wanted to create a comprehensive data science program for students from all backgrounds. Metis asked Datascope to design the curriculum from scratch, drawing on the company’s deep expertise in the field.

Datascope spoke with practitioners across industries to identify the key skill sets that make them successful: a grasp of design; fluency with data management, coding, and algorithms; and effective communication with coworkers and the wider world. The team crafted a 12-week bootcamp that develops these specific abilities.

In order to prepare students for the work world, the bootcamp is structured less like a class and more like a company, where students are “hired” as data scientists—with projects to complete—starting on day one.

Students collaborate on group projects and presentations in a way that mirrors real workflows, and practice pair programming to learn from one another. Using techniques drawn from design, students are invited to refine their project briefs and continually reevaluate their approach.

Instead of a final exam, at the end of the course, students tackle five real-world, open-ended data science projects inspired by Datascope’s client work. One project involves using data from subway turnstiles to detect patterns in the volume of street traffic; another asks students to use data they scrape from the web to predict a movie’s box office profits using regression analysis.

After students complete the bootcamp, they receive an additional three months of career support, from mock interviews to site visits with potential employers. In addition to designing the curriculum, Datascope taught the first three student cohorts and helped Metis build its teaching team as it expanded the program from New York to San Francisco, Chicago, and Seattle. Metis now offers online courses, evening classes, and corporate trainings in data science.

If you’re going to take a data science bootcamp, it’s best to take one designed by data scientists.

You’re whizzing along on your bike, en route to a new restaurant for a client meeting. You reach an unfamiliar intersection; which way to go now?

Instead of dismounting and digging for a phone, you brush your hand along your jacket sleeve for directions, then double-tap the denim to re-start your music. Without taking your eyes off the road, you’ve taken care of the problem.

This intuitive interface for connected apparel began with Levi's, makers of durable workwear for 140 years, and Google, creators of forward-looking technology, which joined forces to fashion the first item of clothing with touch-sensitive, copper-core threads woven directly into the fabric. Once it was established that the first connected garment from the partnership would be a jacket within Levi’s Commuter line, with interaction on the sleeve, Google worked with IDEO, leaders in designing for human needs, to develop the gesture language of the jacket and industrial design of the technology within.

This is the first connected garment that helps us break free from devices. It seamlessly incorporates Jacquard by Google technology to perform digital tasks, such as navigation, communication, and music playing with a few swipes or taps on the sleeve.

Jacquard by Google—a platform that makes it possible to integrate touch and gesture interactivity into fabrics using conductive yarn and standard, industrial looms—was inspired by a curious twist of history. The Jacquard loom, invented in France in 1804, used punch cards to automate the process of weaving complex patterns into fabric. In the 1940s and ’50s, engineers employed a similar punch-card technique to program the first computers.

IDEO spent time on the project early on, collaborating with Google engineers and Levi’s clothiers on the jacket’s development, helping craft an experience that would make the intelligent threads intuitive to wearers.

Working alongside Google and Levi’s, IDEO’s work included:

• The industrial design of the electronics integrated into the snap tag and connector (the tag snaps onto the jacket’s cuff and connects to your phone via Bluetooth)
• A vocabulary of gestures on the cuff of the jacket that lets you interact with the jacket’s technology
• Early exploration of the basic design philosophy and conceptual design for the interaction model of a corresponding smartphone app that ties it all together (works with both iOS and Android phones)

The IDEO team’s first task was to validate what commuters of all stripes wanted from the garment, in addition to the work Levi’s did in researching with its consumers. In interviews, group exercises, and wear tests with urban cyclists and other workers on the go, the team learned that cyclists needed a way to stay connected, while still living in the moment. That meant being able to answer calls, hear text messages, get the next direction, and control their music without using a screen.

Levi’s, Google, and IDEO developed a language of movement for Jacquard-enabled fabric that feels familiar and human and builds on the ways people would naturally interact with a garment (a whole-hand brush along the sleeve, as opposed to a one-finger tap on a touch screen, for instance).

Then came the design and engineering of the snap tag on the jacket’s cuff, which gently notifies you of calls, texts, and other jacket interactions with light and vibration feedback. The flexible, lightweight strap incorporates the look and feel of a Levi’s jean button, while housing advanced electronics that capture touch data. The tag is removable, charges via USB connection, and works in conjunction with a mobile app that lets you configure settings for the garment, set notifications, and customize gestures and interactions.

The Levi’s Commuter Jacket with Jacquard by Google changes the game because it’s simply that—a jacket—with technology that adds new utility and value, allowing us to wear our everyday interactions on our sleeves.

The Levi’s Commuter Trucker Jacket with Jacquard by Google hit stores in October 2017.

IDEO and Google have a long history of collaboration. Learn more about our work on Google Bloks here.

Sixty years later, amidst technological advances that have spurred massive innovation and changed the face of science, we decided it was time to re-inspire today’s generation. James Musick, a digital communications lead at Genentech, came to us for help in creating an immersive iPad experience that would celebrate Watson and Crick’s seminal discovery, as well as engage the science-curious. But with three months to complete the project, we needed to hit the ground running.

Ralph and The Cheesy Mess

The idea of using a game or puzzle as a way to bring users into a world filled with genetics became an early favorite in the ideation stage. Puzzle-based gameplay was a great analogy to reflect the scientific process: from trial-and-error learning stages, to information synthesis, all the way through solving the puzzle and answering the question. A game hinging on a real-life genetic mechanic would be novel and stood to introduce the science to a new audience. If designed well, with engaging play and a compelling story, we would be able to integrate the science, narrative, and gameplay into a beautiful app.

We started off diving deep into the world of video games. We indulged in playing some of our tried-and-true favorites, as well as newer games such as Osmos and Eufloria to understand how they bridged science and storytelling. At the same time, we were learning about cutting-edge research in genetics through conversations with Jason Long and other Genentech scientists, listening to podcasts, and a hefty amount of reading.

Throughout this inspiration phase, we kept coming back to a wildly intriguing area of research called epigenetics, which focuses on how environments affect genetic expression. In short, epigenetics is the area of genetics that, given a fixed DNA makeup, tells the DNA which parts of the code should express themselves and how they should express themselves as determined by external factors like weather, stress, diet, etc. So while we may have a fixed genetic makeup, the environment still plays a large modulating factor in our genetic expression.

Our fascination with the content—combined with a teamwide love of comic books and mutant-origin stories—evolved into an epigenetic-inspired noir-puzzle game based on Ralph, an artisanal cheese-maker, and his cheese company Ralph's Killer Muenster.

The mechanisms of genetics

Early on in the ideation phase, Evan Shapiro, who would become a core team member and help prototype game logic, introduced us to phylogenetic trees and maximum parsimony theory. You’ve probably encountered phylogenetic trees in biology class, where they serve to illustrate evolutionary relationships among species. Maximum parsimony, on the other hand, is more obscure. It serves as a computational forensic tool to help us understand the evolution of genetic traits along the phylogenetic tree, as well as help us infer species evolution. With maximum parsimony, the “preferred phylogenetic tree is the tree that supposes the least evolutionary change to explain observed data.” After mulling that over for a bit, we decided creating and solving a phylogenetic puzzle by employing maximum parsimony as a scoring criteria was a great jumping-off point and a compelling challenge.

To test this, our first prototype was a paper prototype where we started with a sample origin genetic trait. We sketched out several generations by mutating one trait at a time, and created our own phylogenetic tree. Given the final generation of traits and no tree structure, the goal was to see if we could work backwards to recreate the tree structure and uncover the origin trait. Basically, reverse evolution. After a lot of finessing we came up with a rule set that actually reflected natural evolutionary rules and allowed us to solve the tree and find the origin species.

With this excitement, we spent a weekend programming a single prototype puzzle using mechanics that would become the main gameplay: players reverse engineer evolution by mutating a given set of species traits backwards to a common ancestor in the fewest moves possible. This was maximum parsimony made tangible. In order for the puzzles to be solvable, we had to use real evolutionary rules describing how the species’ traits can change. By the end of the weekend, we had puzzles and a game mechanic that were keeping us up late into the night trying to one-up each other’s scores, which, to us, meant we had hit the nail on the head.

From a design perspective, one of the significant balancing acts of the project involved weighing the desire to impart specific scientific knowledge against the value of experiential learning. When we used maximum parsimony it became clear that this was a perfect mechanic to give people an experiential interaction with real genetics.

Prototyping and puzzle design

From day one, Ralph’s Killer Muenster was an intensive prototyping project. The first bare-bones prototype of the puzzle was written in Qt because we wanted a framework in which we could rapidly prototype the GUI and could reuse game logic for the production app. Qt, although not extensively used, has great functionality and plays natively with Javascript and C++. It was a well-suited framework for prototyping the core puzzle experience, which included coding the evolutionary logic, adding and testing interactions, modifying visual communication, and testing informational displays.

Our daily workflow started with an early morning meeting so we could all share progress from the previous day. We spent the rest of the day implementing and testing new visuals and interactions on paper and integrating them into the Qt prototype architecture. Lastly, we tested them with people around IDEO to see how they reacted to specific design and gameplay decisions.

We used Unity for the production app in the development environment for many of the same reasons that we chose Qt. But Unity has the added benefit of working with native OpenGL, along with the capability to compile to iOS. As time-constrained as this project was, we still wanted to impart as much narrative and visual interest as possible, and Unity proved an excellent match for this challenge.

Nivi Ramesh, our interaction designer and art director, worked to create an amazing game landscape with analogies to microscopy and slide specimens. Working closely with developers at Substantial, we created layered and animated textures paired with OpenGL shaders to achieve the tone we wanted. We had parallel work streams throughout the prototyping phase, with one team working on developing the logic and overarching architecture of the production app while the prototyping team refined interaction elements, game mechanics, and informational displays in the prototype testbed.

What makes a good puzzle?

Before diving any further, we took a step back to make sure we got the puzzles right. Good puzzle games tend to adhere to some basic principles: They are purely cognitive challenges with a few simple rules, nearly infinite outcomes, difficulty that increases with mastery, and some clear goals. Plus, they're easy to learn.

In building the game, one of our most critical challenges was creating visual representations of the genetic traits that people would be using to solve the puzzles. People had to quickly grasp how they could manipulate and evolve the traits given the genetic logic. If we couldn't get people to make this mental leap, the game wasn't going to succeed.

A real genetic trait is made up of a snippet of DNA and is a long, winding series of genetic code (or, a lot of AGTC). To make the game approachable, we chose to abstract and simplify the cheese trait representations as visual identifiers that had a bit of mystery and were themselves a puzzle to decode. We tested many different ways of visually representing the traits, the majority of which people could not directly connect to an increasing or decreasing series. The simplest visuals turned out to be the most effective: shapes, dots, and lines.

With simple geometric shapes, people could see that moving from a triangle to a square to a hexagon involved moving through a progression of increasing the numbers of sides. Similarly, lines and dots worked well for understanding how the traits could be mutated. They were easily accessible by players in planning a strategy for mutation.

Less is more

After the weekend of playing the prototype level, we needed a way to determine the optimal solution to these puzzles so that we could give user feedback and help players improve in the game. With Ralph's Killer Muenster, an optimal solution for any puzzle involves making the “most parsimonious” decisions, i.e. using the least number of moves or fewest mutations. We needed to find a way to reward people for doing less, contrary to typical game design where users are rewarded for doing more. Without a clear and appropriate qualitative feedback mechanism, we found that people were finishing puzzles without any sense for how much better they could perform.

Scavenging the Internet for a tool to analyze phylogenetic trees uncovered Mesquite, a software package built specifically for computational biology and evolutionary analysis. After learning from tutorials produced by Harvard University, we could solve the initial species sets and puzzles we had created, and arrive at the most efficient tree structure and trait mutations.

We used the statistical language R to generate thousands of possible levels, export files for Mesquite to crunch, and output the moves required for each level into a custom level file that we could use to test in our prototype game.

Levels testing and design progressed in parallel with refining the scoring display and making hundreds of other visual and UX enhancements. With our trait visualizations, levels design and scoring mechanism solved, we felt we had achieved something that was both subtle and significant: People who grasped the underlying puzzle dynamics were quite literally using their brains in a way that mimics a core methodology of genetic science. This seemed to hit at the essence of experiential learning.

Muenster launches, Bill Nye approves

The Ralph's Killer Muenster iPad game launched at the 2013 GET (Genomics, Environments and Traits) conference, coinciding with the anniversary of Watson and Crick's seminal paper describing the structure of DNA. At the conference, Bill Nye the Science Guy, a long-time advocate of a science literate society, played the game, and loved it. This made our day. The app also caught Apple's attention, and was listed as a new and noteworthy Education app in the App Store.

To further raise awareness around the game, we created a Ralph's Killer Muenster brand, including a visual identity, packaging, website, Twitter, game trailer, and food truck—all mobilized by Ralph to push the only tool that could save the city (and his reputation) and allow him to lift the health code violations that kept him from producing and distributing cheese. Ralph’s food truck, sent throughout San Francisco, distributed grilled muenster cheese sandwiches.

What we learned

After the launch festivities, our team took a step back to consider what we had learned. Here's the take-away:

• Set constraints to help make a hard problem more approachable. Our self-imposed constraint that the game needed to rely on a scientific mechanism helped us narrow in on phylogenetic trees and maximum parsimony as our core concepts.

• A good story goes a long way. We spent significant time concocting Ralph's story, and getting the tone and art direction down in order to engage people. We want them to stick around for the more mentally taxing interactions later down the line.

• Find the right tool for the right job. We used a variety of prototyping and user testing methods and environments, rather than trying to find or force an all-in-one. Each tool elicited learnings unique to them.

1953 was a good year for science and technology. The polio vaccine was developed, the first open heart surgery performed, and color TVs hit the store shelves. It was also the year Watson and Crick revealed one of the most important discoveries of the 20th century: the double-helix structure of DNA.

David Kelley, IDEO founder and Stanford d.school creator, and his brother Tom Kelley, IDEO partner and the author of the best-selling The Art of Innovation, have written a powerful and compelling book on unleashing the creativity that lies within each and every one of us.

WATCH: David Kelley's TED Talk: How to build your creative confidence.

Too often, companies and individuals assume that creativity and innovation are the domain of the “creative types.” But two of the leading experts in innovation, design, and creativity on the planet, David and Tom Kelley, show us that everyone is creative.

In an incredibly entertaining and inspiring narrative that draws on countless stories from their work at IDEO and with many of the world’s top companies, David and Tom Kelley identify the principles and strategies that will allow us to tap into our creative potential in our work and personal lives, and innovatively approach and solve problems. It is a book that will help each of us be more productive and successful in our lives and in our careers.

Learn more at CreativeConfidence.com.

Purchase

Know someone who might love this book? Here are some options for purchasing Creative Confidence (Crown Business, 2013):

• Order from Bookshop.org

When we were asked to whip up a special brew this July for a big Creative Confidence book-preview event featuring David Kelley, one of IDEO’s founders, and his brother, best-selling author Tom Kelley, we knew we had to kick things up a notch.

Challenge #1: Two guests of honor called for not one brew, but two! We heard Tom enjoys light, Japanese-style beers and that David doesn’t really drink, so we decided to make a Belgian-style wit for Tom and sparkling organic lemonade for David and then mix them together to create a shandy, a refreshing summer drink.

Challenge #2: Now that we had two beverages, we needed to come up with a unique way to dispense them. Luckily, we like tough build challenges with tight deadlines even more than we like beer. A few shop hours here and there between projects, and before we knew it, we said “cheers” to the Mix Master 2000 Shandy Machine!

Introducing the Mix Master 2000

How it works

The Mix Master 2000 Shandy Machine’s look was inspired by the retro-futuristic steampunk movement.

The machine sits on top of a standard, top-loading freezer replumbed to hold two kegs (one containing wit, the other sparkling organic lemonade).

Thirsty partygoers begin by turning the large hand crank on the front to select their preferred beer-to-lemonade ratio (from 0–100%). When the analog meter on top points to the desired proportions, they flip a missile switch to open the valves. The two glass vessels on either side of the machine fill with beer and lemonade, respectively, then send the home-brewed concoctions into their waiting pint via a dispensing tube.

Beer recipe

We wanted to brew a beer that would pair well with lemonade, so we decided on a nice, light, citrus-wheat ale. The goal: around 5% ABV, or alcohol by volume. We used 2-row pale as our main grain along with wheat and wheat malt with a bit of coriander, chamomile, and orange peel. You can find the complete recipe on Brewtoad.

Lemonade recipe

Making homemade lemonade is pretty straightforward. It only has three ingredients: lemon juice, sugar, and water. Batch-processing 10 gallons of the stuff, however, is a bit trickier, especially when you don’t have an electric juicer. In our case, we landed on a ratio of 1:1:8 (1 part lemon juice, 1 part sugar, 8 parts water), and ended up using 160 lemons, 2.5 gallons of simple syrup, and several man-hours of squeezing time. Yikes.

Early testing

After we figured out what we wanted our shandy machine to do, we found some glass vessels lying around the shop.

They looked straight out of a science lab, which was cool, but we thought we’d have some foaming issues because of their small openings. We hooked up a hose from the tap in our kegerator and tried filling them with beer. Sure enough, the beer started foaming immediately and it took several minutes to drain using gravity. Not good if you want a proper pour...

We needed to do something about the foaming issue in order to make this thing usable more than once. We did some experimenting and learned several things:

• There couldn’t be any kinks in the tubing.
• A colder vessel worked best.
• The first pour was really foamy, but subsequent pours were better.
• Filling the glass from the bottom via a tube prevented overflow and allowed any foam that did bubble up to dissipate quickly.
• Adding some back pressure to the vessel made the biggest difference in preventing foam. (To give you an idea of the really rough type of prototyping we love, we used the finger of a rubber glove to make a makeshift balloon on top of the vessel.)

Architecture

The basic plumbing layout of the system is pretty simple. We have three-way ball valves that direct flow from the keg to the vessel, from the vessel to the dispenser tube, or block flow entirely.

To control the valves, we 3D-printed some gears to fit onto the lever controls. To drive the valves, we fitted stepper motors with smaller, 3D-printed gears.

Inputs

For the main shandy mixture-control system, we settled on a large hand crank.

We machined a shaft and attached an encoder to the end. We added some detents to the wheel to make sure the crank had a nice hand-feel and gave solid feedback so people could precisely dial in their desired mixture ratio (the detent mechanism is equivalent to putting a baseball card in the spokes of a bike tire).

We used a 3D-printed gear and flexible plastic leaf to engage the gear. We had to play around with some adhesive foam in order to damp the vibrations and get just the right sound and feel we were looking for. We added a covered, mission control-style toggle switch to start the cycle and a cancel button to round out the inputs.

Feedback

The main source of feedback on the machine is the large analog meter on the top of the machine. We searched online in vain for a large meter that would fit our steampunk style, have an appropriate measuring range, and could be controlled by Arduino. In the end, we found an old automotive meter that measured voltage from 0-16v.

We replaced the scale with one designed by our colleague Joe Graceffa and added a custom housing around it.

When we were testing the Mix Master 2000, we found ourselves staring at the Arduino serial output a lot to figure out where the machine was in its cycle. To make this easier, we added a small OLED display with an onboard SD card slot. Simple serial commands trigger bitmap images that signal Startup, Ready State, Beer Filling, Lemonade Filling, Pouring, and Error State.

Electrical layout

An Arduino Mega controls the shandy machine. This diagram shows how all of the components are connected:

To drive the meter, we needed to boost the 0-5v PWM output of the Arduino Mega to 0-16v. We built a simple, non-inverting amplifier circuit to increase the voltage. A fine-adjustment potentiometer allowed us to fine-tune the maximum voltage and made the meter read full scale.

Code

When the Mix Master 2000 is first powered on, we can’t be sure that the valves are in the correct position. Each motor is stalled against the valve hard stop to establish a home position (the valve hard stop is in the dispense position so there’s no risk of keg leakage). Once the machine’s ready, the crank encoder state is polled and the meter PWM is updated to reflect changes in the shandy-mixture percentage. As soon as the start switch is thrown, the pour cycle begins. During our early testing, we figured out how long it would take to fill a glass with each liquid (the times turned out to be different because of varying carbonation levels). The parameters for beer and lemonade fill times are used to calculate the on times for both valves using the selected shandy ratio.

The cycle sequence starts by opening the beer valve and filling the beer vessel for a predetermined amount of time. When the beer valve closes, the lemonade valve opens for a predetermined amount of time. Finally, both valves move to the dispense position to allow liquid to flow from the two vessels and into the person’s glass. A built-in wait time prevents the start of another cycle, ensuring all the liquid is dispensed.

If necessary, a cancel button throws an interrupt, immediately moving both valves to the safe home position and halting program execution until the Arduino reset button is pressed.

The final touches: steampunking & aging

We’re big fans of steampunk, so from the beginning, we knew we wanted the Mix Master 2000 to look quasi-Victorian. First, we used as much copper and brass as possible, then, drawing on John’s background as a Hollywood set designer, we “antiqued” it using various scenic techniques.

We started by stripping everything off the main body of the machine and painting it all silver. After that dried, we sprayed it again with black paint. While that was drying, we took Scotchbrite pads and scratched the corners, edges, and anywhere else we thought needed a little character. After the black paint layer dried completely, we started to reattach all the other pieces. We painted them copper or brass and scratched them up here and there to add wear and tear.

Once the whole machine was reassembled, we decided it should look a bit dirtier. To do this, we mixed different brown-toned acrylic paints with denatured alcohol. We brushed this onto key places like the corners of the motors so it looked like dirt had accumulated and it was streaked with rain (we wiped off the paint before it dried so the effect didn’t look too heavy handed). For sanitation purposes, we didn’t paint the drain tray or the stainless tubes that dispense the shandy.

What’s next

We think the Mix Master 2000’s pretty cool as-is, but there’s always room for improvement. One issue we’d like to address is foaming. The balloon we added on top of the beer vessel helped, but pouring a lot of shandies in succession caused major foam build up. Increasing the amount of back pressure in the vessel could improve this situation, so we’re experimenting with adjustable pressure-relief valves. Coupled with the relief valve, a low-pressure aquarium pump could help to push out the foam more quickly, avoiding a buildup.

While we’re using the Mix Master 2000 for shandies at the moment, it really could be used for any number of two-part drinks: Black & Tans, mixed drinks, or custom non-alcoholic concoctions are all ideas we’re toying around with. As beer geeks, we’re particularly keen to brew two similar beers, one with a bland base and another that has a lot of hops so we can all dial up the perfect hoppy pour.

Parts List

• Main housing — ?” ABS
• Ball valves — McMaster # 4757K52
• Valve gears — FDM
• Valve housing — FDM
• Crank — McMaster #6020K35
• Stepper motors — Lulzbot #817752011303
• Stepper drivers — Sparkfun #ROB-11699
• Arduino Mega
• Display — 4D systems 128x128 Sparkfun #LCD-11377
• Power supply — 12V 5A, 5V 12A
• Meter — salvaged autometer 16v range
• Glass vessels — found in shop
• Glass holders — FDM
• Meter housing — Laser cut acrylic
• Start switch — Sparkfun #COM-11310

We couldn’t have made the Mix Master 2000 without the help of Joe Graceffa’s graphic design skills, Aaron Ferber’s awesome lemonade-making abilities, and Momo Miyazaki's amazing video. This post was co-written with John Grimley.

The creators of the Mix Master 2000, Chris Gold and John Grimley.

Here at IDEO Chicago, we like beer. A lot. And we don’t just love drinking the stuff, we like brewing it, too. Our ChIDEO Brew Crew started about two years ago and since that time, we’ve made more than 60 gallons, mostly for studio events like Rocktoberfest or St. Paddy’s Day, but sometimes just because it’s Tuesday and we feel like it. We even have a customized kegerator in our kitchen to showcase our drafts.

Perhaps one of the most iconic objects Bill designed was the GRiD Compass, the world's first laptop computer. Bill's design was the original clamshell design that all current laptops have descended from. We wondered if we could use a GRiD as a way to collect stories about Bill from around the office.

The result is this GRiD Laptop that has been modified to house a Galaxy Tab. It renders everything in orange and black similar to the original GRiD, boasts a working keyboard, and can be plugged in to charge at the base behind the original door that housed the ports.

We are using this laptop as a way to add content to billmoggridge.com which has been created to honor him by sharing our favorite moments, Moggridge-isms, photos, videos, songs, and more.

I hope this puts a smile on your face, just as Bill has done for so many others during his lifetime.

As per usual, I tried to document and share all the details of the build process for others to learn from. Click through for the full details of what went into this build:

Parts:

• Broken GRiD 1720 from Ebay
• Refurbished Samsung Galaxy Tab 8.9 w/ dock and keyboard

Before we start taking things apart, look at this! Things may not have changed as much as we think...

Taking apart the GRiD:

The Display

I wanted to have the charger on the base of the computer and not in the screen. For that we would need to make an extension cable that will work like the original cable that connected the screen. Luckily I have the dock and the keyboard dock to hack. I end up using both.

Here is the dock taken apart:

All we need is this part. This will connect to the bottom of the tablet:

This is the part inside the keyboard dock. I use this as the port to glue into the base of the laptop:

First I de-soldered the connector that originally would have plugged into the tablet. Then I connected the dock part to this keyboard part. Now I can use the multimeter in conductivity mode to probe the connections to learn which pad on the keyboard part will need to go to which pad on the dock part:

Then I (very carefully) soldered everything up with an ample length of cable to make my extension cable:

Once I verify the connections are sound, I blob on some 5 minute epoxy to lock everything up so it won't break later.

I couldn't have asked for better luck on fitting this in there! This is the bottom of the connector touching the base of the screen housing:

Lastly, there was no way to wake up the tablet once I put it in the housing, so I put a bolt in the lathe and turned a button that sits in the casing and allows you to press the button from the outside:

Lastly, I had to cut a hole in the display window so you can touch the screen of the tablet. I tried doing this with an x-acto and failed miserably. Luckily, our model-maker extraordinaire, John Grimley, came to the rescue and laser-cut / backpainted a replacement bezel. Thanks!

The Keyboard

Now on to the keyboard. I used a bluetooth keyboard from Motorola. The Samsung one that came with the tablet was too small. I was pretty lucky to find one with almost the exact size of the original GRiD keyboard:

I took all the keys off the GRiD and sanded them down so I could glue them flush to the bluetooth keyboard:

I used hot glue, a steady hand, and a lot of patience:

Now we have a proper keyboard, we need to wire it up. I wired the pairing button to the original power button of the GRiD because you have to press the pair button every time you power on. One reason I made that cable using the keyboard dock circuit board earlier is because the board breaks out power and ground which I can wire to power the bluetooth keyboard. This way there are no batteries to replace.

The Bluetooth Board:

Wired onto the keyboard dock:

Now everything is wired together, so I just place the connector in the original slot for the parallel port:

The Software:

This was actually the most difficult part to figure out. I wanted to have the display be yellow-orange on black like the original GRiD. I started poking around on the Android XDA-developers forum to dig up information. I won't go through all the steps in detail, but after trying versions of Android Ice Cream Sandwich, Jelly Bean, Cyanogen Mod, etc. etc. I found that I had to re-install Android Honeycomb (which was on there in the first place!) and install Chainfire 3D:

This app calls itself “an intermediary OpenGL Driver“ so it sits in the middle and can mess with commands going to the GPU. This requires a rooted device. There's a guy on YouTube who does an awesome walkthrough on how to root a Galaxy Tab 8.9. If you are looking to do something similar.

Chainfire 3D has a “Night Mode“ that allows you to mess with which colors function and to what degree:

However, it still wasn't changing the color! It would change only during screen transitions when there was some sort GPU task happening. I decided to try some hacks to force the GPU to constantly be running letting Chainfire have the ability to intercept things. I had seen some other “screen tinting“ apps that on their own didn't accomplish what I wanted, but added a level of something going on so Chainfire could do it's job. The one I used is called “Screen Adjust.“

Before:

After!

The Website

While I was working on the GRiD, IDEOers Arjun Mehta and Katie Clark—along with several others including Lance Birtcil, Ben Booth, Francis Tseng, Ivy Hu, Danny Stillion, Tom Hardin and Tim Brown—were putting together the tribute website that the laptop was built to access: billmoggridge.com.

It's really beautifully done, so go check it out to see what kinds of fantastic stories have been shared.

With the passing of IDEO co-founder Bill Moggridge, we have been reflecting on the ways he has influenced our lives and made the world a better place. Bill has had an enormous impact on the field of interaction design and professed the importance of making interactions delightful.

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.

Most AI products today are built for work—a space with clear problems and established systems. One founder noticed a gap: personal life is messier, harder to systematize, and mostly left behind by the AI boom. So she built Cue, a personal AI that lives inside iMessage and group chats, to go where the other tools haven't.

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In this episode, Becca Carroll, IDEO's Chief Strategy Officer, talks with Sida Li, co-founder and CEO of Shared Context Lab, about staying anchored to a human need while the technology around her keeps changing shape, why she treats her business model with the same rigor she'd bring to a product, and what it feels like to build a company at this particular, disorienting moment in AI.

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The conversation also gets into how Sida makes design decisions: the language Cue uses to describe itself, the tradeoffs behind building inside iMessage instead of a new app, and a real story about a business idea that didn’t pan out.

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This is the second in a two-part series profiling founders from IDEO's Startups-in-Residence program. The first conversation is with Johannes Seemann, founder of Sooner, on designing GenAI for the emotional side of money.

Most personal financial tools are built to run the numbers and optimize towards a budget. While that works for some, most people experience money as a lived relationship that does not neatly fit into a spreadsheet. Johannes Seemann and Becca Carroll discuss why money is emotional before it is mathematical, and what a human-centered approach to building a generative AI financial product looks like in practice.

Mina Seetharaman talks with Scott Shigeoka, author of Seek and Head of Curiosity Cultivation at the Eames Institute, about what distinguishes genuinely curious leadership from performative curiosity, how power dynamics shape curiosity, and why practicing curiosity can restore energy rather than drain it.

Mina Seetharaman talks with David Epstein, author of Inside the Box and Range, about why total freedom often produces average work, how leaders can design useful limits on purpose, and what organizations such as General Magic and Pixar reveal about the relationship between boundaries and creativity.