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?"
Painting With the Web
So much about [Gerhard Richter's painting process] reminds me of designing and building for the Web: The unpredictability, the peculiarities of the material, the improvisation, the bugs, the happy accidents. There is one crucial difference, though. By using static wireframes and static layouts, by separating design and development, we are often limiting our ability to have that creative dialogue with the Web and its materials. We are limiting our potential for playful exploration and for creating surprising and novel solutions. And, most importantly, we are limiting our ability to make conscious, well-informed decisions going forward. By adding more and more layers of abstraction, we are breaking the feedback loop of the creative process.
A constant dialogue
Have you ever seen Gerhard Richter painting?
It is phenomenal to watch. He might start one of his large, abstract paintings by carefully applying oil paint to the canvas with a thick brush. Then, he begins to scrape, smear, or add new layers of paint with a large, home-made squeegee. After each change, Richter pauses, takes a step back, and looks at the result: What did just happen with the picture? What composition has come about? Where have interesting parts emerged? What is the next move that might bring the piece one step closer to completion? And which action would be a mistake? There is a lot of intention and carefulness in this process, yet Richter equally respects the results of accident and chance. He lets go of a certain kind of control to let things happen that are surprising and exciting. But at the same time, Richter always exerts enough control to influence the result. He decides what to keep and what to destroy. It is the ultimate creative process: a constant dialogue.
Constant reflection and refinement
Ask any artist, musician, or writer and they might tell you that this conversation at the heart of the creative process is what makes their work special and so fulfilling. No piece of art exists in its final form in the head of the artist before the first brush stroke is put on the canvas. No musician has a full piece of music in her head without a conversation with instruments or the score. And no novel is done before the first word is put on paper or a computer screen. Constant reflection and refinement are key to creating any piece of work. This is what lets creators of any profession learn and grow, and, ultimately, achieve mastery. And the same is true for any user interface, design pattern, piece of code, or content on the Web.