Research & Ethnography
What is unspoken
A nested classificatory hierarchy
Unfinished
Record them all
Recommendations for field notes
In Defense of Browsing
The illustrated guide to a Ph.D.
When users never use the features they asked for
An Article by Austin Z. HenleyWe deployed our tool. Almost no one used it.
The handful that did use it, used it once or twice and barely interacted with it. After a few days, zero people were using it.
Why did they tell me they wanted these features?
Why Most Published Research Findings Are False
A Research Paper by John P.A. IoannidisThere is increasing concern that most current published research findings are false. The probability that a research claim is true may depend on study power and bias, the number of other studies on the same question, and, importantly, the ratio of true to no relationships among the relationships probed in each scientific field. In this framework, a research finding is less likely to be true when the studies conducted in a field are smaller; when effect sizes are smaller; when there is a greater number and lesser preselection of tested relationships; where there is greater flexibility in designs, definitions, outcomes, and analytical modes; when there is greater financial and other interest and prejudice; and when more teams are involved in a scientific field in chase of statistical significance.
How can we develop transformative tools for thought?
A Research Paper by Andy Matuschak & Michael NielsenConventional tech industry product practice will not produce deep enough subject matter insights to create transformative tools for thought.
...The aspiration is for any team serious about making transformative tools for thought. It’s to create a culture that combines the best parts of modern product practice with the best parts of the (very different) modern research culture. You need the insight-through-making loop to operate, whereby deep, original insights about the subject feed back to change and improve the system, and changes to the system result in deep, original insights about the subject.
A hypothesis is a liability
A Research Paper by Itai Yanai & Martin LercherThere is a hidden cost to having a hypothesis. It arises from the relationship between night science and day science, the two very distinct modes of activity in which scientific ideas are generated and tested, respectively [1, 2]. With a hypothesis in hand, the impressive strengths of day science are unleashed, guiding us in designing tests, estimating parameters, and throwing out the hypothesis if it fails the tests. But when we analyze the results of an experiment, our mental focus on a specific hypothesis can prevent us from exploring other aspects of the data, effectively blinding us to new ideas.
Keep digging
An Article by Ryan SingerThe hardest thing about customer interviews is knowing where to dig. An effective interview is more like a friendly interrogation. We don’t want to learn what customers think about the product, or what they like or dislike — we want to know what happened and how they chose... To get those answers we can’t just ask surface questions, we have to keep digging back behind the answers to find out what really happened.
Fast Path to a Great UX – Increased Exposure Hours
An Article by Jared SpoolAs we’ve been researching what design teams need to do to create great user experiences, we’ve stumbled across an interesting finding. It’s the closest thing we’ve found to a silver bullet when it comes to reliably improving the designs teams produce.
The solution? Exposure hours. The number of hours each team member is exposed directly to real users interacting with the team’s designs or the team’s competitor’s designs. There is a direct correlation between this exposure and the improvements we see in the designs that team produces.
Weighing up UX
An Article by Jeremy KeithMetrics come up when we’re talking about A/B testing, growth design, and all of the practices that help designers get their seat at the table (to use the well-worn cliché). But while metrics are very useful for measuring design’s benefit to the business, they’re not really cut out for measuring user experience.
Monkeys testing random designs
A Tweet by Jared SpoolA/B testing is an effective approach to use science to design and deliver deeply-frustrating user experiences.
A/B testing without upfront research is just random monkeys testing random designs to see which of those designs do “best” against random criteria.
If drug testing was actually implemented like most A/B tests, you’d give 2 drugs to 2 groups of people and pick the “winner” by whichever group had fewer deaths.
You and Your Research
A Speech by Richard HammingThis talk centered on Hamming's observations and research on the question "Why do so few scientists make significant contributions and so many are forgotten in the long run?"
Kigumi House
A sense reflected in the plans
When a space resonates with our humanity, when it feels really pleasant or splendid and beautiful—when you place yourself in such an environment, I've always believed that people will be drawn in. So I guess you could say it's this sense that I try to reflect in the plans; I believe that this will lead in the right direction, to an honest lifestyle.
I'm reminded of their faces
Mrs. Shimada is very cheerful, and Mr. Shimada is very intelligent; he is able to perceive things objectively, and discern what is precious. I get the sense they live critically, evaluating what is important. Keeping these characteristics in mind, I think about what kind of plan should be provided, in what proportions, and in what kind of house—to best suit these people. I'm constantly reminded of their faces as I prepare the plans. I'm always thinking about human happiness. If it doesn't make you happy, I don't think it's worth building.
Maybe I should sharpen soon
I've been doing this for decades, so I've found tools that can't get any better. Tools by a good blacksmith cut well for the entire day, as well as the next; occasionally, even on the third day. I'll think, maybe I should sharpen soon, even though it's still cutting okay.
So that's what it's like — it's all about how good your tools are.
What's suitable for each unique condition
What of machines and prefabrication? How do they compare?
Well, the machine has its limits. We, using handcrafted methods, do things that machines cannot do. Of course, it's not fast like a machine. And in complicated areas like here, things wouldn't go the same using a machine as it would by hand.
We use numerous variations of all these connecting and splicing joints. Using a machine, [the wood joints] can all be made uniform, but really, we need to consider whether that's a good thing. It's better to make each mechanism and joint by considering what's suitable for each unique condition.
The structure becomes more solid
I suspect that these tools and these shapes each have their own era. And, well—recently, mass production has made fabrication more practical by using machines, and producing joints that are even easier and faster. Currently, [composite joints] are the most practical—economically as well. That's probably how it became so simple.
The precision [of a prefabricated joint] is by no means bad; a prefabricated joint is more precise than one made by hand with poor skills. Of course, with craftsmen, some are good; others, not so good. It's fine if only people with excellent skills make these joints and build houses; but occasionally, you'll get someone who doesn't. In this case, there's a possibility that prefabrication will provide a more uniform, better outcome.
With prefabrication, they don't really have as much variety in types of joints. Most splicing joints are kama-tsugi, and most connecting joints are ari of a dovetail type; it's even all the same dovetail. In comparison, we use roughly ten times that in variety—perhaps more than ten times.
You have something that is fast, easy, and cheap...
Tōru Abo: Yes, the question is which is better in comparison. I mean, there's no point having a joint made without precision. If you can't chisel with a certain degree of accuracy, there's no point cutting by hand. We often say, "Work accurately and precisely." It's labor-intensive and costs some money, but it's overwhelmingly stronger. The structure becomes more solid.
Kanawa-tsugi
The kanawa-tsugi allows for easy replacements, without having to raise the building a great deal. However, these days buildings are demolished in less than 30 or so years, so we live in an era where such measures aren't necessary. Because we're living in an era where you demolish the house before things are replaced, we don't have to do this. But in doing so, the two wood members fit together smoothly; the fit becomes incredibly good. This splicing joint, it's surprisingly rigid once assembled; so, even in an era where we have foundations like these, we still use the kanawa-tsugi.
Completing work properly in unseen areas
If you consider the inheritance of skills, we can keep this heritage by having young people do the work properly, as they did in the past. If you don't do this, or you become too practical, you'd only make simple things. It's very low tech, this inheritance of skills—using carpentry tools to do manual work. We deliberately put effort into these things, completing work properly in unseen areas.
Architecture equals structure
Architecture equals structure. Design is also important, but structure is the basis of architecture.
By taking the good aspects of both traditional and conventional construction methods, we assemble it securely...So the reason we lay out the marking lines, and carve by hand, is to utilize the good aspects of wood framing from the past when building contemporary wood-framed structures.