- we draw pictures of emotions to help us empathize with users
- we sketch storyboards to prototype new experiences
- we act out the current experience to identify new opportunities
- we create skits to rapidly prototype the future.
Wednesday, March 16, 2016
10 Musical Design Methods
Monday, October 19, 2015
The Football Diet
Summary
- Offense and Defense
- Special Teams
- Blocking and Tackling
Highlight Reel
Offense and Defense
Offense
Defense
Motivational Locker Room Speech
Special Teams
Punting
- You have to plan it in advance (otherwise it’s a fumble—see below)
- It lasts only one day. Football teams don’t punt 2 plays in a row, and I don’t pig out 2 days in a row.
- After punting, go right back to offense or defense the next day.
Fumbles
- It happens. Get over it. Don’t beat yourself up.
- Get right back into whatever your game plan was for the week—offense or defense.
- The most important thing is to notice you’re at risk, so you can protect the ball.
- Ask yourself if you’re really, really going to enjoy this fumble. Why turn over the ball for a third helping of a casserole you don’t even like?
- If you notice early enough, ask your fans for help. The sooner you can do this, the better (see “hot & cold” below). I’ll sometimes say to my family, “OMG, they have a chocolate fountain over there. Please help me eat only one banana’s worth from the fountain.”
End zone Dance
- Celebrate with your fans!
- Plan it in advance, because you want a great dance, but…
- Don’t draw a penalty for overdoing it.
The Extra Point
Blocking & Tackling
Build on your strengths
- Dancing
- Walking and hiking
- Fresh fruit
- Ice tea
- Kombucha (check it out!)
- Know the healthy things you love
- Do them more
- When you’re doing them, notice how much you enjoy them!
Know your weaknesses
Food & Drink
Emotional Triggers
Situations
Momentum
Get the Ball Moving
Hot & Cold Times
- While brushing my teeth after breakfast
- After eating and drinking way too much and feeling sick to my stomach
- When I first get home from work
- When free lunch is served at a meeting, especially if there are chocolate chip cookies
- At about 9:00 p.m. when I get a craving for ice cream, or 10:00 when I get a craving for a glass of scotch or Bailey’s Irish Cream
Working out
- Pick something you enjoy
- Do it at the same time every day
- Make it as easy as possible to do it
Away Games
Get the fans into the game
- You publicly commit yourself to your goal. The behavioral scientists have shown that this is a huge deal that makes it much more likely you’ll do what you want to do.
- You recruit supporters. Your fans can help, and not just by nagging you. If they know what you’re doing, they can…
- Eat healthy things around you
- Stop offering you cookies
- Ask you how it’s going
- Eat the ice cream in the freezer so it’s gone when your 9:00 p.m. craving hits
- Join your team! How cool would it be to have 2, or even 11, people all on offense or defense at the same time?!
Weight Watcher Book
Post-game Wrap-up
- Every week you choose to either be on offense or defense.
- In an offense week, try to lose 1 pound.
- In a defense week, try not to gain any weight.
- For special occasions, punt. Eat and drink what you want, but only for one day.
- Get good at blocking and tackling. Gimmicks and metaphors aside, if you eat healthy foods in moderation and get good exercise, you’re going to be healthier and feel better.
Friday, April 26, 2013
Exercises in PowerPoint Style
But not all PowerPoint presentations are disastrous. The best PowerPoint decks incorporate fundamental principles of communication and visual design. The best PowerPoint decks actually enhance communication, and they do so through a wide variety of communication styles.
It's this wide variety of communication styles that led me to make a connection between PowerPoint and Raymond Queneaus' classic work, Exercises in Style, first published in French in 1947. In Exercises in Style, Queneau tells a very simple, almost inane story. And then he retells the same story 99 times in 99 different styles with labels like metaphorically, hesitation, precision, animism, official letter, blurb, noble, speaking personally, and of course polyptotes.
I've embarked on a parallel project, using PowerPoint. This morning I uploaded 4 PowerPoint decks to SlideShare. Each uses a different style to communicate about the same fictitious project. I plan to add new styles on more or less a weekly basis, starting with styles that can be effective when matched with the right circumstances. The four I created and uploaded this morning are:
- Bare Outline. This is the simple, boring shell that the rest of the styles are based on.
- SBAR. This one uses a format created in the patient safety world to succinctly communicate about patients. In this case, I use the SBAR format to describe a software development project.
- Butterfield Powerbite. This is based on the scheme I use most frequently to organize everything from presentations to short emails to announcements at staff meetings. Dick Butterfield taught me the scheme.
- Inspirational. This one addresses the same fictional project from the point of view of a senior leader inspiring her workforce to rise to a challenge.
Friday, April 19, 2013
Managing Through Influence
Think of this as 20 tips for developing the art of influence.
As I walk through the list, I'm assuming you have a "target"--a specific individual whose behavior you want to change. I'll group the tips into 3 principles:
- Work the relationships
- Motivate and inspire
- Be practical
Work the Relationships
- Align around something shared. Find something in common with your target. It could be anything from shared values (e.g., we both care deeply about the future of our organization), shared goals (e.g., we both want to meet the June 1stdeadline), or even something completely unrelated to work (e.g., we both love Louis Armstrong's early recordings). The more specific you can get, the better.
- Understand the web of relationships. Everyone is influenced by someone else. Find out who your target trusts, obeys, follows, or listens to. If you can't directly influence your partner, find the path between you and your target. If your target is Alice, and Alice reports to Bernice, you need to influence Bernice. Maybe you have no influence over Bernice, but Bernice trusts Carlos, and Carlos has great respect for you. Once you've figured out this path of influence, you can get Carlos to talk to Bernice to give Alice an assignment.
- Identify the saboteurs; defuse the bombs. Take some time to think through who may oppose your work and how they might wreak havoc. Is there someone who will tell your target not to listen to you? Is there someone in a position to make your target's efforts ineffectual? If you don't know, ask someone who does know. Then make an explicit plan for how to neutralize the negative impact. By far the most powerful way to do this is to convert your detractor into your champion. Another tried and true method is to keep the detractor busy with something else--find a way to get them focused on some work that keeps them out of your way. This doesn't have to be cynical or Machiavellian--many people can serve their customers and company better by staying focused on things they can actually accomplish rather than sabotaging the work you're trying to accomplish.
Wednesday, October 20, 2010
NoMoreClipboard
Functionality
Looks pretty straightforward—view portions of the medical record, enter blood glucose, send prompts to patients and to physicians.
Uses desktop web, mobile web, and SMS
Implementation
They’re conducting a pilot w/ Howard University Hospital Diabetes Treatment Center in Washington, DC, in neighborhoods that have a high incidence of diabetes. Patients are typically low income and either Medicaid or uninsured. The program begins with community-based screening and initial treatment in a tricked-out RV (aka mobile health clinic). In the RV, their information gets entered in Howard’s EMR.
When they get off the RV, the patient is greeted by a “PHR Educator” (first time I’ve heard that term). The PHR Educator gets them set up with an account, which includes downloading their data from the Howard EMR system into the PHR, as well as filling in gaps in the data. Patients are encouraged to enter their glucose readings several times/day. About every three months, they collect HEDIS data from patients via online surveys.
They have 232 patients using the system so far. They've only recently launched the mobile component, and it's growing fast.
Incentives
For the patients: The program provides “medical minutes,” essentially subsidizing part of the patient’s data plan. But they’re very clear that they don’t want to pay for everything. The patient needs to pay for at least part of the phone and part of the data plan, to ensure they have skin in the game. The program will provide new phones, or patients can use their existing phones.
For the physicians: Cupcakes. They’ve succeeded in getting clinical buy-in by providing cupcakes. Every time a physician gets another 20 patients signed up, they get a hand-delivered box of Georgetown Cupcakes, which are evidently delicious.
Preliminary findings & observations
- Not all the patients use the system, but those who use it tend to use it a lot. This is consistent with findings from the California Health Care Foundation study that showed low PHR adoption by people with low socioeconomic status, but high usage by those who do adopt.
- Age 60 appears to be dividing line—over 60 they tend not to use it. This is different from other data I’ve seen, which shows 70 or 75 as a clearer dividing line
- 1/3 use once/week or more; 1/3 use PHR at least once a month; 1/3 rarely use it
- MDs report enhanced dialog between patients and providers. Communication is more frequent, complete, and accurate
- They’re claiming reduced HA1C, BP, cholesterol, ER visits, and hospital readmissions, but didn’t provide any specifics (to be published, but not yet)
Friday, September 17, 2010
Data Visualization, Information Overload, and Compression
This reminded me of Mark Hurst's Bit Literacy work:
Bits are heavy. Though they have no physical weight, bits--the electronic data that flows in and out of our e-mail inboxes, cell phones, Web browsers, and so on--place a weight on anyone who uses them. A laptop computer weighs the same few pounds whether it holds one e-mail or a thousand, but to the person who has to deal with all those e-mails, there is a big difference. Appearing in large numbers as they often do, bits weight people down, mentally and emotionally, with incessant calls for attention and engagement....Mark points out that you can read every day about the information overload problem, but it's very difficult to find practical help dealing with information overload. So his book, Bit Literacy, provides elegant, practical techniques for just that, most of which involve filtering, prioritizing, and organizing incoming data.
The problem can be solved by learning bit literacy, a new set of skills for managing bits. Those who attain these skills will surmount the obstacles of overload and rise to the top of their professions, even as they enjoy a life with less stress, greater health, and more time for family and friends. Bit literacy makes people more effective today, even as it equips them for the future.
I see an intriguing connection between data visualization and bit literacy--an underlying suggestion of a powerful technique that I'll call "compression." Think of it this way:
When a program like WinZip or iTunes compresses a file, it creates a new file that contains most or all of the source information, but using fewer bits to represent that information.A few compression examples come to mind.
And data visualization does the same thing. A good data visualization takes a large amount of data, either qualitative or quantitative, and displays it in form that conveys most or all of the source information, but using fewer bits to represent that information. This suggests the notion of "compression" as one technique for dealing with information overload.
In the last few years, management "dashboards" have started proliferating. These dashboards essentially take a large amount of information about how a product or company is performing, and compress it into one or two pages of charts, key performance indicators, and short explanatory text. This compressed version of the information enables a manager to quickly take in a tremendous number of bits very rapidly.
Design personas fulfill a similar function. We start with mountains of data from many sources to understand our customers and their needs, and we compress that data into a small number of composite characters called personas. Then we use those personas to communicate with the project team and stakeholders. Essentially, we create compressed versions of the data.
Both of these are examples of "lossy" compression. In the world of compression, "lossless" compression means the compressed file contains all of the information from the original--it's just stored more efficiently. When you download a software application, that software is typically stored in a lossless format, so that when you decompress it, you get all the information of the original. Contrast this with "lossy" compression, in which the compressed file is both smaller, and takes up less space, than the original. This is what you get with an mp3 audio file--you can still enjoy the song, but some of the audio fidelity has been removed so you can fit more songs on your iPod. The trick with lossy compression is to systematically determine a) how much fidelity is required, and b) which data can be removed while still retaining the key information.
Back in our information overload space, this becomes the key question--how can we systematically reduce the bits coming at us so that we can send and receive the essence of a large data set while retaining the key information we need to make informed decisions.
One more example highlights the potential power, and the risk, of using data visualization to combat information overload:
A stock ticker widget essentially compresses all of the data about stock trading into a handful of numbers. After millions of trades today, the Dow Jones was up 1.2%, ending at 10,603.54. This is an attempt to compress not only the stock market, but the economy as a whole. If the Dow is at 10,603.54, the economy is probably better than it was last year, but still struggling.
So the stock ticker saves me the trouble of having to look at all of the data about today's trading. This is good. On the other hand, when there's a TV screen in my elevator barraging me with data about how the Dow, NASDAQ, and S&P 500 are changing from one minute to the next, that's way more information than I need or want. Some further compression would help. As in software compression, it's not only a question of which data to keep and which to remove--it's primarily a question of how small I need the compressed version to be. In the case of a typical consumer, we could add information and compress it even more by presenting a weekly updated graph of performance over the past 10 years.
So I'm having fun playing around with this metaphor, and I have three main questions:
1) Who else has written about compression and/or data visualization as a means to combat information overload?
2) What are some more examples of compression being used effectively to combat information overload?
3) How might we apply this concept in fresh ways to make ourselves more productive and happier each day?
Wednesday, August 11, 2010
eHealth Disparities - strategies continued
For those who do not currently have meaningful access, but who could get meaningful access as a result of our efforts, we might think of two complimentary paths:
- Bring the people to the technology
- Bring the technology to the people
By "changing the people," I simply mean finding ways to help these folks take advantage of tools others already have. For example:
- Public access computers in libraries, medical centers, etc.
- Subsidized access (e.g., some health plans give away cell phones with unlimited minutes for interactions with the health plan)
- Training on how to purchase, use, maintain, and troubleshoot
- Change our push messages from phone and email to SMS
- Optimize existing web sites for access on pocketable devices
- Convert key Web interactions to work on IVR (touch-tone telephone trees)
- Use higher end technologies with other people so as to free up more traditional resources to attend to the needs of those who don't use those technologies. Here's a way to think about it: If we can use the web to save phone calls to a call center, that should free up call center resources. We would then need to deploy those call center resources to better serve the needs of the people who don't use the web.
Monday, August 9, 2010
eHealth Disparities Segmentation by Meaningful Access
As always, we need to start by understanding the people involved.
- Demographics (e.g., ethnicity, age, language, socioeconomic status)
- Psychographics (e.g., those deeply engaged in their health vs. those who don’t pay much attention to their health, or those who love the latest gadget vs. those who fear computers)
- Access to Technology (e.g., those with desktop broadband vs. those with dial-up, vs. those with smart phones, vs. those with cell phones & SMS, vs. those with none of these)
The problem I keep bumping into is that these factors overlap in very complex ways, and all simple approaches to segmentation seem to oversimplify way too much. For example, Hispanics are more likely to have adverse health outcomes than whites, and they’re also less likely to have broadband, but they’re more likely to access the Internet on their phones. Does this mean we can use smartphones to decrease health disparities for Hispanics? Not necessarily—I'd guess that the Hispanics suffering most from health disparities are those least likely to have smartphones.
Four years ago, in the report Expanding the Reach and Impact of Consumer eHealth Tools, Cynthia Bauer and colleagues at the Dept. of Health and Human Services did an impress job of researching, analyzing, and organizing the field of eHealth Disparities. One of their main conclusions was that we needed more data at the subpopulation level. That gap in our understanding has closed a little in the last four years, but we're still struggling to understand the individuals most at risk of being caught between health disparities and digital disparities.
That said, I think we're close to having a practical starting point.
As we think about strategies to address eHealth Disparities, we might find it helpful to start segmenting in terms of meaningful access to technology. “Meaningful Access” refers to the need to have more than just a computer. Meaningful access requires:
- hardware
- Internet connection
- skills to use them
- ongoing technical support
- relevant useful content and functionality
If we take the people most vulnerable to health disparities and subsegment them by meaningful access, then some high-level strategies start to emerge:
The “haves”
Those who already have meaningful access, or those who will gain meaningful access in the next few years with or without our efforts.
Strategies:
Promote existing content and functionality to them
Enhance current content and functionality to be more useful to them
Create new content and functionality for them
The “could haves”
Those who don’t have meaningful access, but who could gain meaningful access as a result of our efforts.
Strategies:
Use the same strategies as for the “haves” above, and also…
Support public access points (libraries, medical centers, shopping malls, etc.)
Support simple and inexpensive access on devices they already own, e.g., SMS texting, including paying the per-message fee
Support public policies and funding that increase access for the underserved (e.g., community-wide wi-fi, extend universal access programs to cover not just phone but also Internet)
The “won’t haves”
Those who don’t have meaningful access, and who still won’t have meaningful access 3 years from now regardless of our efforts.
Strategies:
Support “infomediaries” such as family members who use the Web and mobile devices on behalf of those who don’t
Maintain and enhance non-technology-based services
This might be a starting point. The next step would be to gather more information about each of these groups to understand whether these groups are homogeneous enough to have similar needs that can be addressed with similar efforts.