data
INSUFFICIENT DATA FOR MEANINGFUL ANSWER.
The Eyes Have It
A Research Paper by Ben ShneidermanThe trend is your friend 'til the bend at the end
A Fragment by Noah SmithIn the past, GDP and resources use have always been tightly correlated. But this is just drawing a line through some data — it’s not based on any deep theory. And in fact, these correlations can change very quickly. Just as one example, here’s energy use versus GDP since 1949.
If you were sitting in 1970, you could look at this curve and claim, very confidently, that economic growth requires concomitant increases in energy use. And you’d be wrong. Because the trend is your friend til the bend at the end.
Embracing Asymmetrical Design
An Article by Ben NadelHumans love symmetry. We find symmetry to be very attractive. Our brains may even be hard-wired through evolution to process symmetrical data more efficiently. So, it's no surprise that, as designers, we try to build symmetry into our product interfaces and layouts. It makes them feel very pleasant to look at.
Unfortunately, data is not symmetrical…Once you release a product into "the real world", and users start to enter "real world data" into it, you immediately see that asymmetrical data, shoe-horned into a symmetrical design, can start to look terrible.
To fix this, we need to lean into an asymmetric reality. We need to embrace the fact that data is asymmetric and we need to design user interfaces that can expand and contract to work with the asymmetry, not against it. To borrow from Bruce Lee, we need to build user interfaces that act more like water:
“You must be shapeless, formless, like water. When you pour water in a cup, it becomes the cup. When you pour water in a bottle, it becomes the bottle. When you pour water in a teapot, it becomes the teapot. Water can drip and it can crash. Become like water my friend.” — Bruce Lee
Goodbye, Google
An Article by Douglas BowmanWithout a person at (or near) the helm who thoroughly understands the principles and elements of Design, a company eventually runs out of reasons for design decisions. With every new design decision, critics cry foul. Without conviction, doubt creeps in. Instincts fail. “Is this the right move?” When a company is filled with engineers, it turns to engineering to solve problems. Reduce each decision to a simple logic problem. Remove all subjectivity and just look at the data. Data in your favor? Ok, launch it. Data shows negative effects? Back to the drawing board. And that data eventually becomes a crutch for every decision, paralyzing the company and preventing it from making any daring design decisions.
Yes, it’s true that a team at Google couldn’t decide between two blues, so they’re testing 41 shades between each blue to see which one performs better. I had a recent debate over whether a border should be 3, 4 or 5 pixels wide, and was asked to prove my case. I can’t operate in an environment like that. I’ve grown tired of debating such minuscule design decisions. There are more exciting design problems in this world to tackle.
The Subtleties of Color
A Series by Robert SimmonThe use of color to display data is a solved problem, right? Just pick a palette from a drop-down menu (probably either a grayscale ramp or a rainbow), set start and end points, press “apply,” and you’re done. Although we all know it’s not that simple, that’s often how colors are chosen in the real world. As a result, many visualizations fail to represent the underlying data as well as they could.
Data Farming
A Research PaperMiners seek valuable nuggets of ore buried in the earth, but have no control over what is out there or how hard it is to extract the nuggets from their surroundings. ... Similarly, data miners seek to uncover valuable nuggets of information buried within massive amounts of data.
Farmers cultivate the land to maximize their yield. They manipulate the environment to their advantage using irrigation, pest control, crop rotation, fertilizer, and more. Small-scale designed experiments let them determine whether these treatments are effective. Similarly, data farmers manipulate simulation models to their advantage, using large-scale designed experimentation to grow data from their models in a manner that easily lets them extract useful information.
Winning by Design: The Methods of Gordon Murray
A case study of the working methods of one particularly successful designer in a highly competitive design domain - Formula One racing car design. Gordon Murray was chief designer for the very successful Brabham and McLaren racing car teams in the 1970s and 1980s. His record of success is characterised by innovative breakthroughs, often arising as sudden illuminations, based on considering the task from first principles and from a systemic viewpoint. His working methods are highly personal, and include intensive use of drawings. Personality factors and team management abilities also appear to be relevant. There are some evident similarities with some other successful, innovative designers
You need to make the step forward
Throughout a racing season there is constant, relentless pressure on the designer to keep making design improvements. But there is a limit to what can be achieved with any car design, before a jump has to be made to basically a new design, an innovation. As Gordon Murray says, ‘Given the situation and the pressure at any one time, you do get to the brick wall...I mean you're doing all these normal modifications, you know you can't go any quicker, you need to make the step forward.’
In the midst of the pressure, the fervour, the panic, he ‘used to get breakthroughs, I mean I used to get like suddenly a mental block's lifted.’
Drawing the bits
That's what is great about race car design, because even though you've had the big idea - the “light bulb” thing, which is fun - the real fun is actually taking these individual things, that nobody's every done before, and in no time at all try and think of a way of designing them. And not only think of a way of doing them, but drawing the bits, having them made and testing them.
Like designing things for the first time
Gordon Murray insists on keeping experience 'at the back of your mind, not the front' and to work from first principles when designing. For instance, in designing a component such as a suspension wishbone, 'it's all too easy - and the longer you're in design the easier it is - to say, I know all about wishbones, this is how it's going to look because that's what wishbones look like.' But if you want to make a step forward, if you're looking for ways of making it much better and much lighter, than you have to go right back to load path analysis. It is like designing things for the first time, rather than the nth time.
Wonder Plots
Working from first principles, and working in a highly organized way seem to come naturally to him, but his personal design process is much less structured than the results might suggest. Although he can tightly organize his team and run a complex racing organisation, his personal ways of designing are relatively unstructured, based on annotated, thumb-nail sketches. ‘I don't sit down and say, OK, now I've had the idea, let's see, this is a solution, these are the different ways to go, if I do this, and do that; I do lots of scribbles just to save it, before I forget.’
Gordon’s design process is based on starting with a quick sketch of a whole idea, which is then developed through many different refinements. ‘I do a quick sketch of the whole idea, and then if there's one bit that looks good, instead of rubbing other bits out, I'd put that bit to one side; I'd do it again and expand on the good bit, and drop out the bad bit, and keep doing it, doing it; and end up with all these sketches, and eventually you end up throwing ninety percent of these away.’ He also talks to himself - or rather, writes notes to himself on the sketches; notes such as ‘rubbish’, ‘too heavy’ or ‘move it this way 30mm.’ Eventually he gets to the stage of more formal, orthographic drawings, but still drawing annotated plans, elevations and sections all together, ‘Until at the end of the day the guys at Brabham used to call them “Wonder Plots”, because they used to say “It's a wonder anybody could see what was on them”!’
I never have engineers that aren't designers
Although Gordon Murray carried immense personal responsibility for the design work of his racing cars, inevitably it involved a lot of teamwork. Clearly he has been successful in inspiring others to work with him. He likes to involve team members in the design problems, and for that reason prefers to recruit all-rounders to his team; ‘I never have engineers that aren't designers.’
The problem with CAD
He also likes to work collectively, standing around a drawing board discussing problems and trying ideas.
For this kind of teamwork, and especially for conceptual design work, he finds computer aided design systems too restrictive. For the McLaren F1 super-car, he installed a five-metre long drawing board in the design office, so that the car could be drawn full size. ‘The problem with CAD for this sort of stuff is that you can never have a full-size drawing, unless you do a print, and by the time you do a print it's out of date in the concept stage.’ He also does not like the one-person emphasis of CAD screens; ‘You can only ever talk to one person at once - you stand behind and look over somebody's shoulder, which is not very good for a boss-designer relationship anyway, to have somebody standing behind you is never a good thing. To look over somebody's shoulder at a tiny little screen, it's just wrong, it's totally wrong.’
(On the other hand, he fully acknowledges that tasks like a complex suspension plot to determine the wheel envelope are ideal for CAD.)
Drawing as a means of thinking
Two-dimensional plans or sections can be seen with sketches and more diagrammatic marks all on the same piece of paper in what appears a confusing jumble.’ These sound like Gordon’s ‘wonder plots’. The architects also use their drawings as a means of thinking ‘aloud’, or ‘talking to themselves’, as Gordon put it. For example, Lawson reports the architect Richard MacCormac as saying, ‘I use drawing as a process of criticism and discovery’; and the engineer-architect Santiago Calatrava as saying, ‘To start with you see the thing in your mind and it doesn’t exist on paper and then you start making simple sketches and organizing things and then you start doing layer after layer.... it is very much a dialogue.’
The common elements in these similar descriptions are the use of drawing not only as a means of externalising cognitive images but also of actively ‘thinking by drawing’, and of responding, layer after layer and view after view, to the design as it emerges in the drawings. These observations also confirm Schön’s observation of designing as a ‘reflective conversation’ between the designer and the emerging design. It is the reliance on drawing, and the preference for the immediacy of the interaction and feedback that manual drawing gives, that makes the architects, like Gordon Murray, unenthusiastic about CAD as a conceptual design tool.
A new gestalt
The innovator has a systems mind, one that sees things in terms of how they relate to each other in producing a result, a new gestalt that to some degree changes the world.
Intense activity, then relaxation
The working style is based on periods of intense activity, coupled with other periods of more relaxed, reflective contemplation. This working style may not be a reflection of a particular personality trait, but a necessary aspect of creative work, which requires alternating intense effort with relaxation.
Strategic, not tactical
The working methods of the innovative designer are, for the most part, not systematic; there is little or no evidence of the use of systematic methods of creative thinking, for example. The innovative designer seems to be too involved with the urgent necessity of problem solving to want, or to need, to stand back and consider their working methods. Their design approach is strategic, not tactical.
Drawing for parallel design thinking
An important feature of their strategy is parallel working - keeping design activity going at many levels simultaneously. The best cognitive aid for supporting and maintaining parallel design thinking is drawing. Drawing with the conventional tools of paper and pencil gives the flexibility to shift levels of detail instantaneously; allows partial, different views at different levels of detail to be developed side by side, or above and below and overlapping; keeps records of previous views, ideas and notes that can be accessed relatively quickly and inserted into the current frame of reference; permits and encourages the simultaneous, non-hierarchical participation of co-workers, using a common representation.
The drawing of partial solutions or representations also aids the designer’s thinking processes, and provides some ‘talk-back’. As well as drawing, innovative designers frequently like to undertake practical work related to the design solution, such as building models or mock-ups, or participating in construction.
A small team of committed coworkers
The innovative designer also likes, perhaps needs, to work with a small team of committed co-workers who share the same passions and dedication.