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?"
Brilliant Hardware in the Valley of the Software Slump
It begins with craft
Something strange is happening in the world of software: It’s slowly getting worse. Not all software, but a lot of it. It’s becoming more sluggish, less responsive, and subtly less reliable than it was a few years ago.
In some ways this is hyperbole. Objectively, we’ve never been able to do so much, so easily with our smartphones and laptops and tablets. We’ve never pushed more data between more places more readily. But while the insidious “worseness” I mention falls only in part on the engineering side of things, it falls harder on the more subjective, craft side of things, making it all the more worrisome.
Why should we care about this? Because the majority of our waking hours take place within the confines of applications. A truth recently amplified by the covid pandemic.
And I believe software used by millions (if not billions) has a moral duty to elevate the emotional and intellectual qualities of its users. That elevation begins with craft.
Penn Station
In the same way that physical architecture can affect a mind, so too can software. Slower, less reliable software is like Penn Station: Sure, you can catch a transfer from one train to another but the dreary lowness of the place, the lack of sunlight or sensible wayfinding will make you feel like a rat, truculent and worthless, and worse: You’ll acclimate to that feeling and accept it as a norm.
Edges
Hardware has literal and metaphorical edges — it must be fully complete and largely bug free to ship. Software? It’s far more amorphous, like mist. Patches can be endlessly pushed. It never ends. Faulty hardware can destroy a company. Faulty software can be patched. The butterfly keyboard debacle may never be lived down. Even as I type on this improved Magic Keyboard, I can’t help but wonder: Did they really test this thing? I had three butterfly keyboards die on me, twice in the field. Not fun. Hardware failures live long in the mind.
The business case for craft
macOS software that adheres to craft — Things or Carbon Copy Cloner or BBEdit or Sublime Text (which, despite not being “native native” feels so solid and so responsive you’re willing to overlook its quirks) or Bear or Alfred or iA Writer or Keynote (arguably one of the best pieces of macOS software of all time) or anything by Panic, heck, even Terminal or Quicken (which, against all rational expectations is just a joy to use)5 — exists in troves, the existence of such proves to the Slacks or Twitters or Adobes of the world that it’s not impossible nor rare to produce craft-oriented software in service to user fluency, and still make a profit.
In fact, there’s a business case to be made for being craft- and fluency-focused. We’ve seen entire companies with business models that could be summarized as “Bloat-Free X” emerge in recent years. Affinity is bloat-free Adobe. Install Adobe Creative Cloud on your laptop and marvel at the no fewer than a dozen processes whirling around in the background for unknown purposes. It’s no surprise Affinity Photo and Publisher and Designer have taken off. Sketch’s main feature for many years was simply: Not Adobe.
And the web! When you care — when you really give a shit — the web is awe inspiring. I still can’t believe Figma is web-native (also born from the Not Adobe camp). That an application can feel so powerful, so fast, so well-crafted and be fully web-based should be a kind of lighthouse-archetype for all other sites lost in a sea of complexity and muck and unnecessary frameworks.