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?"
Spatial Interfaces
Software applications can utilize spatial interfaces to afford users powerful ways of thinking and interacting. Though often associated with gaming, spatial interfaces can be useful in any kind of software, even in less obvious domains like productivity tools or work applications. We will see spatial interfaces move into all verticals, starting with game-like interfaces for all kinds of social use-cases.
There is no app that replicates a deck of cards
It seems that the only way to build an app that replicates the full functionality a deck of cards is to build a 3D simulation or game. Model the cards in 3D and put them on a 3D table. As long as you have controls for reaching out and picking up the cards, and moving them in space, you can do anything you can do in real life.
Preserving the higher dimensionality makes it simpler and more intuitive, not less.
Humans are spatial creatures
Humans are spatial creatures. We experience most of life in relation to space. We sit in a circle with our family. We drive down the left side of the road in Ireland and try to stay in our lane. We ride scooters down a path along the water. We sculpt a human body out of stone. We follow signs to our train. We walk, through arches, or on crosswalks beside bike lanes, or to follow our brother across a bridge. We position our camera to frame the shot while our friend leans out over a balcony. We sense ourselves in space in relation to all of the other objects in our environment.
And this is powerful knowledge that we've left out of lots of software. In fact, while most obvious in 3D, this thinking does work outside of just three-dimensional software. Almost any software can use spatial concepts to become easier to understand.
Web trails
There's more room for spatial concepts to become part of our web browsing experience.
One example is an idea I call "trails." It's based on the story of Hansel and Gretel walking through the forest and leaving a trail of breadcrumbs behind them, so that they could find their way back later. What if you could do this on the web?
A breadcrumb in this case is a single pixel that you can place in a precise location on a webpage. Placing a breadcrumb could be as simple as Option + click. While navigating the web, you could leave breadcrumbs on different pages you find interesting over the course of a browsing session. When you're done, that sequential "trail of breadcrumbs" would be saved. You could then jump back into the trail and navigate "forward" and "backward" through the things you found interesting in that browsing session. Or share the trail with a friend, and they could step through your spatial path of navigating the web.