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?"
What Good Means
The center of the way
The advice I’ve received from those who are close to the center of this timeless way of building is to start small. Like with a piece of tile, or a tea tray. And to then imagine along with Christopher Alexander:
What it would be like
to live in a mental world
where one’s reasons
for making something
functionally
and one’s reasons
for making something
a certain shape,
or in a certain
ornamental way
are coming
from precisely
the same place
in you
.Seduction
“The classic pervasive seduction to designers is finding a solution instead of the truth.” — Richard Saul Wurman
What the material wants to be
Part of how Lou Kahn made things be good was to ask the material what it wanted to do and be. He asked brick what it liked, and would get a different answer depending on the context for the building. In Dacca, the capital of Bangladesh, brick said it liked an arch. For the Korman House in Philadelphia, brick said it liked two giant fireplaces with a lintel between them for a doorway beneath and a balcony above.
Asking yourself some questions
All of the moves that we make in space will tend toward being in accord with this phenomenon of wholeness / beauty / life if we’re willing to bring the requisite level of care to the doing of our work.
Alexander says that each of us possess the means for accessing this order within ourselves and — here’s where he loses most other architects and many in the so-called sciences in academia — he contends that what we’re connecting with inside of ourselves is an objective criterion for what good means.
Applying the criterion is easy: you ask yourself some questions:
With any action you might take with regard to placement, and with regard to the situatedness of things in space you ask yourself: does this move increase wholeness / beauty / life?
Does the intervention you’re taking intensify the feelings of wholeness in you as the maker when you are performing the work?
How does your work on this one part enhance what’s going on among wholes at the system level?
Losing meaning
The people who’ve proven that they can make very good individual products with the radical focus of a spotlight seem to be pushed ever further from making good ecosystems.
Products are being made “consistent” with the application of so-called “design patterns,” and rather than bringing coherence to these various touch-points, the painting-on of interface standards and interaction patterns did something far less valuable.
Rote consistency, in the way many seem to be going about it (Material Design being just one example), is at odds with making things be good. It simplifies what needs to remain complex.
Always, when simplification is underway, meaning is being lost.
Two coffee trays
We speculate that the shop owners designed and built an initial quantity of these remarkable coffee trays, replete with what Alexander considers to be the fifteen geometric properties that correlate with wholeness / beauty / life.
Then they got busy. And then they got successful. They needed more coffee trays, and our hypothesis is that somebody decided to simplify the trays to ensure they could be produced in the quantities and at the price that worked for their budget, within an urgent food-service timeline.
The simplified tray fulfills every function the more complex tray does, with less fuss in manufacturing on account of having standardized its geometry. The simplified tray works, but isn’t alive. It lacks the gradients, local symmetries, levels of scale, contrast, and boundaries that are all present and accounted for in the tray that’s got wholeness / beauty / life. The tray with wholeness isn’t necessarily better than the simpler one. But it is good.